From f21634e8f5cd5d3c4654dba607f2cdcc48f8695d Mon Sep 17 00:00:00 2001 From: Firas Moosvi Date: Sun, 31 Dec 2023 01:09:55 -0800 Subject: [PATCH] only two warnings left --- about/unsyllabus.md | 2 +- ...s_00_why.md => why_syllabus_unsyllabus.md} | 8 +- images/friendship.jpg | Bin 0 -> 113712 bytes images/hypothesis_annotation.gif | Bin 0 -> 3857011 bytes notes/demo01/lecture1.ipynb | 3046 +++++++++-------- notes/setup/install_macOS.md | 6 +- notes/setup/install_ubuntu.md | 4 +- notes/setup/install_windows.md | 2 +- .../setup/setup_images/extract-make-path.png | Bin 0 -> 14920 bytes notes/setup/setup_images/extract-make.png | Bin 0 -> 48106 bytes notes/setup/setup_images/psql-windows.png | Bin 0 -> 24154 bytes notes/setup/stack.md | 4 +- 12 files changed, 1678 insertions(+), 1394 deletions(-) rename about/unsyllabus_bits/{syllabus_00_why.md => why_syllabus_unsyllabus.md} (95%) create mode 100644 images/friendship.jpg create mode 100644 images/hypothesis_annotation.gif create mode 100644 notes/setup/setup_images/extract-make-path.png create mode 100644 notes/setup/setup_images/extract-make.png create mode 100644 notes/setup/setup_images/psql-windows.png diff --git a/about/unsyllabus.md b/about/unsyllabus.md index 9ad9407..25f1bd2 100644 --- a/about/unsyllabus.md +++ b/about/unsyllabus.md @@ -85,7 +85,7 @@ This course website is currently under construction. It will continue to be upda (missed-things)= ## Missed things -```{include} unsyllabus_bits/missed-things.md +```{include} unsyllabus_bits/missed_things.md ```
diff --git a/about/unsyllabus_bits/syllabus_00_why.md b/about/unsyllabus_bits/why_syllabus_unsyllabus.md similarity index 95% rename from about/unsyllabus_bits/syllabus_00_why.md rename to about/unsyllabus_bits/why_syllabus_unsyllabus.md index 8c5288e..dfba116 100644 --- a/about/unsyllabus_bits/syllabus_00_why.md +++ b/about/unsyllabus_bits/why_syllabus_unsyllabus.md @@ -1,5 +1,3 @@ -**Why is there a Syllabus and an Unsyllabus for this course?** - Traditionally, there has been a culture at most higher education institutions for every course to have a document that sets expectation for how the course will be conducted, what students will be expected to do, and what they will learn in the course. The purpose of that document was for the instructor to communicate "what the course will be about" to students so they know what they're getting themselves into. This document is typically called a "Syllabus" or a "Course Outline". @@ -36,9 +34,9 @@ I invite you to be co-contributors to this unsyllabus, and use the tools provide At various points in the term, I will invite you to provide feedback on how things are going in the class. You may use those opportunities (or any other using the anonymous {{ ANON_FEEDBACK }} or {{ FORUM_LINK }}) to propose adjustments to how the class is running for consideration. -| Document | Status | -|------------|----------------------------------------------------------------------------------------------------------------------------------------------------------| -| Syllabus | University-mandated, like a legal contract and contains university rules about conduct and behaviour; elements will not change. | +| Document | Status | +|------------|------------------------------------------------------------------------------------------------------------------------------------------| +| Syllabus | University-mandated, like a legal contract and contains university rules about conduct and behaviour; elements will not change. | | Unsyllabus | Living document, responsive to student feedback and adaptable to circumstances; elements may change, usually to the benefit of students and of learning. | ```{important} Please note that I have your best interests in mind, and it is highly unlikely that I will ever change the unsyllabus in a way that negatively affects the class, or even individual students. 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"metadata": {} + ] }, { "cell_type": "markdown", + "metadata": {}, "source": [ "## About this course (5 min)\n", "\n", @@ -50,11 +51,11 @@ "- We will cover things like loops, but just the syntax, not the concept of a loop.\n", "- Weeks 1&2: Python, lectures by Mike Gelbart\n", "- Weeks 3&4: R, lectures by Tiffany Timbers" - ], - "metadata": {} + ] }, { "cell_type": "markdown", + "metadata": {}, "source": [ "## Lecture Outline:\n", "\n", @@ -64,11 +65,11 @@ "- String methods (5 min)\n", "- Dictionaries (10 min)\n", "- Conditionals (10 min)" - ], - "metadata": {} + ] }, { "cell_type": "markdown", + "metadata": {}, "source": [ "## Basic datatypes (20 min)\n", "\n", @@ -80,11 +81,11 @@ "- And we use the **assignment operator** `=` to assign a value to a variable.\n", "\n", "See the [Python 3 documentation](https://docs.python.org/3/library/stdtypes.html) for a summary of the standard built-in Python datatypes. See [Think Python (Chapter 2)](http://greenteapress.com/thinkpython/html/thinkpython003.html) for a discussion of variables, expressions and statements in Python." - ], - "metadata": {} + ] }, { "cell_type": "markdown", + "metadata": {}, "source": [ "### Common built-in Python data types\n", "\n", @@ -98,137 +99,143 @@ "| tuple | `tuple` | a collection of objects - immutable & ordered | `('Thursday',6,9,2018)` |\n", "| dictionary | `dict` | mapping of key-value pairs | `{'name':'DSCI','code':511,'credits':2}` |\n", "| none | `NoneType` | represents no value | `None` |" - ], - "metadata": {} + ] }, { "cell_type": "markdown", + "metadata": {}, "source": [ "#### Numeric Types" - ], - "metadata": {} + ] }, { "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], "source": [ "x = 42" - ], - "outputs": [], - "execution_count": 1, - "metadata": {} + ] }, { "cell_type": "code", - "source": [ - "type(x)" - ], + "execution_count": 2, + "metadata": {}, "outputs": [ { - "output_type": "execute_result", - "execution_count": 2, "data": { - "text/plain": "int" + "text/plain": [ + "int" + ] }, - "metadata": {} + "execution_count": 2, + "metadata": {}, + "output_type": "execute_result" } ], - "execution_count": 2, - "metadata": {} + "source": [ + "type(x)" + ] }, { "cell_type": "code", - "source": [ - "print(x)" - ], + "execution_count": 3, + "metadata": { + "tags": [] + }, "outputs": [ { - "output_type": "stream", "name": "stdout", + "output_type": "stream", "text": [ "42\n" ] } ], - "execution_count": 3, - "metadata": { - "tags": [] - } + "source": [ + "print(x)" + ] }, { "cell_type": "code", - "source": [ - "x # in Jupyter/IPython we don't need to explicitly print for the last line of a cell" - ], + "execution_count": 4, + "metadata": {}, "outputs": [ { - "output_type": "execute_result", - "execution_count": 4, "data": { - "text/plain": "42" + "text/plain": [ + "42" + ] }, - "metadata": {} + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" } ], - "execution_count": 4, - "metadata": {} + "source": [ + "x # in Jupyter/IPython we don't need to explicitly print for the last line of a cell" + ] }, { "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [], "source": [ "pi = 3.14159" - ], - "outputs": [], - "execution_count": 5, - "metadata": {} + ] }, { "cell_type": "code", - "source": [ - "print(pi)" - ], + "execution_count": 6, + "metadata": { + "tags": [] + }, "outputs": [ { - "output_type": "stream", "name": "stdout", + "output_type": "stream", "text": [ "3.14159\n" ] } ], - "execution_count": 6, - "metadata": { - "tags": [] - } + "source": [ + "print(pi)" + ] }, { "cell_type": "code", - "source": [ - "type(pi)" - ], + "execution_count": 7, + "metadata": {}, "outputs": [ { - "output_type": "execute_result", - "execution_count": 7, "data": { - "text/plain": "float" + "text/plain": [ + "float" + ] }, - "metadata": {} + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" } ], - "execution_count": 7, - "metadata": {} + "source": [ + "type(pi)" + ] }, { "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [], "source": [ "λ = 2" - ], - "outputs": [], - "execution_count": 8, - "metadata": {} + ] }, { "cell_type": "markdown", + "metadata": {}, "source": [ "#### Arithmetic Operators\n", "\n", @@ -245,279 +252,299 @@ "| `%` | modulo |\n", "\n", "Let's apply these operators to numeric types and observe the results." - ], - "metadata": {} + ] }, { "cell_type": "code", - "source": [ - "1 + 2 + 3 + 4 + 5" - ], + "execution_count": 1, + "metadata": {}, "outputs": [ { - "output_type": "execute_result", - "execution_count": 1, "data": { - "text/plain": "15" + "text/plain": [ + "15" + ] }, - "metadata": {} + "execution_count": 1, + "metadata": {}, + "output_type": "execute_result" } ], - "execution_count": 1, - "metadata": {} + "source": [ + "1 + 2 + 3 + 4 + 5" + ] }, { "cell_type": "code", - "source": [ - "0.1 + 0.2" - ], + "execution_count": 2, + "metadata": {}, "outputs": [ { - "output_type": "execute_result", - "execution_count": 2, "data": { - "text/plain": "0.30000000000000004" + "text/plain": [ + "0.30000000000000004" + ] }, - "metadata": {} + "execution_count": 2, + "metadata": {}, + "output_type": "execute_result" } ], - "execution_count": 2, - "metadata": {} + "source": [ + "0.1 + 0.2" + ] }, { "cell_type": "markdown", + "metadata": {}, "source": [ "```{tip}\n", "From Firas: This is floating point arithmetic. For an explanation of what's going on, [see this tutorial](https://docs.python.org/3/tutorial/floatingpoint.html).\n", "```" - ], - "metadata": {} + ] }, { "cell_type": "code", - "source": [ - "2 * 3.14159" - ], + "execution_count": 11, + "metadata": {}, "outputs": [ { - "output_type": "execute_result", - "execution_count": 11, "data": { - "text/plain": "6.28318" + "text/plain": [ + "6.28318" + ] }, - "metadata": {} + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" } ], - "execution_count": 11, - "metadata": {} + "source": [ + "2 * 3.14159" + ] }, { "cell_type": "code", - "source": [ - "2**10" - ], + "execution_count": 12, + "metadata": {}, "outputs": [ { - "output_type": "execute_result", - "execution_count": 12, "data": { - "text/plain": "1024" + "text/plain": [ + "1024" + ] }, - "metadata": {} + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" } ], - "execution_count": 12, - "metadata": {} + "source": [ + "2**10" + ] }, { "cell_type": "code", - "source": [ - "type(2**10)" - ], + "execution_count": 13, + "metadata": {}, "outputs": [ { - "output_type": "execute_result", - "execution_count": 13, "data": { - "text/plain": "int" + "text/plain": [ + "int" + ] }, - "metadata": {} + "execution_count": 13, + "metadata": {}, + "output_type": "execute_result" } ], - "execution_count": 13, - "metadata": {} + "source": [ + "type(2**10)" + ] }, { "cell_type": "code", - "source": [ - "2.0**10" - ], + "execution_count": 14, + "metadata": {}, "outputs": [ { - "output_type": "execute_result", - "execution_count": 14, "data": { - "text/plain": "1024.0" + "text/plain": [ + "1024.0" + ] }, - "metadata": {} + "execution_count": 14, + "metadata": {}, + "output_type": "execute_result" } ], - "execution_count": 14, - "metadata": {} + "source": [ + "2.0**10" + ] }, { "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [], "source": [ "int_2 = 2" - ], - "outputs": [], - "execution_count": 15, - "metadata": {} + ] }, { "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [], "source": [ "float_2 = 2.0" - ], - "outputs": [], - "execution_count": 16, - "metadata": {} + ] }, { "cell_type": "code", + "execution_count": 17, + "metadata": {}, + "outputs": [], "source": [ "float_2_again = 2." - ], - "outputs": [], - "execution_count": 17, - "metadata": {} + ] }, { "cell_type": "code", - "source": [], - "outputs": [], "execution_count": null, - "metadata": {} + "metadata": {}, + "outputs": [], + "source": [] }, { "cell_type": "code", - "source": [ - "101 / 2" - ], + "execution_count": 18, + "metadata": {}, "outputs": [ { - "output_type": "execute_result", - "execution_count": 18, "data": { - "text/plain": "50.5" + "text/plain": [ + "50.5" + ] }, - "metadata": {} + "execution_count": 18, + "metadata": {}, + "output_type": "execute_result" } ], - "execution_count": 18, - "metadata": {} + "source": [ + "101 / 2" + ] }, { "cell_type": "code", - "source": [ - "101 // 2 # \"integer division\" - always rounds down" - ], + "execution_count": 19, + "metadata": {}, "outputs": [ { - "output_type": "execute_result", - "execution_count": 19, "data": { - "text/plain": "50" + "text/plain": [ + "50" + ] }, - "metadata": {} + "execution_count": 19, + "metadata": {}, + "output_type": "execute_result" } ], - "execution_count": 19, - "metadata": {} + "source": [ + "101 // 2 # \"integer division\" - always rounds down" + ] }, { "cell_type": "code", - "source": [ - "101 % 2 # \"101 mod 2\", or the remainder when 101 is divided by 2" - ], + "execution_count": 20, + "metadata": {}, "outputs": [ { - "output_type": "execute_result", - "execution_count": 20, "data": { - "text/plain": "1" + "text/plain": [ + "1" + ] }, - "metadata": {} + "execution_count": 20, + "metadata": {}, + "output_type": "execute_result" } ], - "execution_count": 20, - "metadata": {} + "source": [ + "101 % 2 # \"101 mod 2\", or the remainder when 101 is divided by 2" + ] }, { "cell_type": "markdown", + "metadata": {}, "source": [ "#### None\n", "\n", "- `NoneType` is its own type in Python.\n", "- It only has one possible value, `None`" - ], - "metadata": {} + ] }, { "cell_type": "code", + "execution_count": 21, + "metadata": {}, + "outputs": [], "source": [ "x = None" - ], - "outputs": [], - "execution_count": 21, - "metadata": {} + ] }, { "cell_type": "code", - "source": [ - "print(x)" - ], + "execution_count": 22, + "metadata": { + "tags": [] + }, "outputs": [ { - "output_type": "stream", "name": "stdout", + "output_type": "stream", "text": [ "None\n" ] } ], - "execution_count": 22, - "metadata": { - "tags": [] - } + "source": [ + "print(x)" + ] }, { "cell_type": "code", - "source": [ - "type(x)" - ], + "execution_count": 23, + "metadata": {}, "outputs": [ { - "output_type": "execute_result", - "execution_count": 23, "data": { - "text/plain": "NoneType" + "text/plain": [ + "NoneType" + ] }, - "metadata": {} + "execution_count": 23, + "metadata": {}, + "output_type": "execute_result" } ], - "execution_count": 23, - "metadata": {} + "source": [ + "type(x)" + ] }, { "cell_type": "markdown", + "metadata": {}, "source": [ "You may have seen similar things in other languages, like `null` in Java, etc." - ], - "metadata": {} + ] }, { "cell_type": "markdown", + "metadata": {}, "source": [ "#### Strings\n", "\n", @@ -528,277 +555,287 @@ " - double quotes, e.g., `\"Goodbye\"`\n", " - triple single quotes, e.g., `'''Yesterday'''`\n", " - triple double quotes, e.g., `\"\"\"Tomorrow\"\"\"`" - ], - "metadata": {} + ] }, { "cell_type": "code", + "execution_count": 24, + "metadata": {}, + "outputs": [], "source": [ "my_name = \"Mike Gelbart\"" - ], - "outputs": [], - "execution_count": 24, - "metadata": {} + ] }, { "cell_type": "code", - "source": [ - "print(my_name)" - ], + "execution_count": 25, + "metadata": { + "tags": [] + }, "outputs": [ { - "output_type": "stream", "name": "stdout", + "output_type": "stream", "text": [ "Mike Gelbart\n" ] } ], - "execution_count": 25, - "metadata": { - "tags": [] - } + "source": [ + "print(my_name)" + ] }, { "cell_type": "code", - "source": [ - "type(my_name)" - ], + "execution_count": 29, + "metadata": {}, "outputs": [ { - "output_type": "execute_result", - "execution_count": 29, "data": { - "text/plain": "str" + "text/plain": [ + "str" + ] }, - "metadata": {} + "execution_count": 29, + "metadata": {}, + "output_type": "execute_result" } ], - "execution_count": 29, - "metadata": {} + "source": [ + "type(my_name)" + ] }, { "cell_type": "code", + "execution_count": 31, + "metadata": {}, + "outputs": [], "source": [ "course = 'DSCI 511'" - ], - "outputs": [], - "execution_count": 31, - "metadata": {} + ] }, { "cell_type": "code", - "source": [ - "print(course)" - ], + "execution_count": 32, + "metadata": {}, "outputs": [ { - "output_type": "stream", "name": "stdout", + "output_type": "stream", "text": [ "DSCI 511\n" ] } ], - "execution_count": 32, - "metadata": {} + "source": [ + "print(course)" + ] }, { "cell_type": "code", - "source": [ - "type(course)" - ], + "execution_count": 33, + "metadata": {}, "outputs": [ { - "output_type": "execute_result", - "execution_count": 33, "data": { - "text/plain": "str" + "text/plain": [ + "str" + ] }, - "metadata": {} + "execution_count": 33, + "metadata": {}, + "output_type": "execute_result" } ], - "execution_count": 33, - "metadata": {} + "source": [ + "type(course)" + ] }, { "cell_type": "markdown", + "metadata": {}, "source": [ "If the string contains a quotation or apostrophe, we can use double quotes or triple quotes to define the string." - ], - "metadata": {} + ] }, { "cell_type": "code", + "execution_count": 34, + "metadata": {}, + "outputs": [], "source": [ "sentence = \"It's a rainy day.\"" - ], - "outputs": [], - "execution_count": 34, - "metadata": {} + ] }, { "cell_type": "code", - "source": [ - "print(sentence)" - ], + "execution_count": 35, + "metadata": {}, "outputs": [ { - "output_type": "stream", "name": "stdout", + "output_type": "stream", "text": [ "It's a rainy day.\n" ] } ], - "execution_count": 35, - "metadata": {} + "source": [ + "print(sentence)" + ] }, { "cell_type": "code", - "source": [ - "type(sentence)" - ], + "execution_count": 36, + "metadata": {}, "outputs": [ { - "output_type": "execute_result", - "execution_count": 36, "data": { - "text/plain": "str" + "text/plain": [ + "str" + ] }, - "metadata": {} + "execution_count": 36, + "metadata": {}, + "output_type": "execute_result" } ], - "execution_count": 36, - "metadata": {} + "source": [ + "type(sentence)" + ] }, { "cell_type": "code", + "execution_count": 38, + "metadata": {}, + "outputs": [], "source": [ "saying = '''They say: \n", "\"It's a rainy day!\"'''" - ], - "outputs": [], - "execution_count": 38, - "metadata": {} + ] }, { "cell_type": "code", - "source": [ - "print(saying)" - ], + "execution_count": 39, + "metadata": {}, "outputs": [ { - "output_type": "stream", "name": "stdout", + "output_type": "stream", "text": [ "They say: \n", "\"It's a rainy day!\"\n" ] } ], - "execution_count": 39, - "metadata": {} + "source": [ + "print(saying)" + ] }, { "cell_type": "markdown", + "metadata": {}, "source": [ "#### Boolean\n", "\n", "- The Boolean (`bool`) type has two values: `True` and `False`. " - ], - "metadata": {} + ] }, { "cell_type": "code", + "execution_count": 40, + "metadata": {}, + "outputs": [], "source": [ "the_truth = True" - ], - "outputs": [], - "execution_count": 40, - "metadata": {} + ] }, { "cell_type": "code", - "source": [ - "print(the_truth)" - ], + "execution_count": 41, + "metadata": {}, "outputs": [ { - "output_type": "stream", "name": "stdout", + "output_type": "stream", "text": [ "True\n" ] } ], - "execution_count": 41, - "metadata": {} + "source": [ + "print(the_truth)" + ] }, { "cell_type": "code", - "source": [ - "type(the_truth)" - ], + "execution_count": 42, + "metadata": {}, "outputs": [ { - "output_type": "execute_result", - "execution_count": 42, "data": { - "text/plain": "bool" + "text/plain": [ + "bool" + ] }, - "metadata": {} + "execution_count": 42, + "metadata": {}, + "output_type": "execute_result" } ], - "execution_count": 42, - "metadata": {} + "source": [ + "type(the_truth)" + ] }, { "cell_type": "code", + "execution_count": 43, + "metadata": {}, + "outputs": [], "source": [ "lies = False" - ], - "outputs": [], - "execution_count": 43, - "metadata": {} + ] }, { "cell_type": "code", - "source": [ - "print(lies)" - ], + "execution_count": 44, + "metadata": {}, "outputs": [ { - "output_type": "stream", "name": "stdout", + "output_type": "stream", "text": [ "False\n" ] } ], - "execution_count": 44, - "metadata": {} + "source": [ + "print(lies)" + ] }, { "cell_type": "code", - "source": [ - "type(lies)" - ], + "execution_count": 45, + "metadata": {}, "outputs": [ { - "output_type": "execute_result", - "execution_count": 45, "data": { - "text/plain": "bool" + "text/plain": [ + "bool" + ] }, - "metadata": {} + "execution_count": 45, + "metadata": {}, + "output_type": "execute_result" } ], - "execution_count": 45, - "metadata": {} + "source": [ + "type(lies)" + ] }, { "cell_type": "markdown", + "metadata": {}, "source": [ "#### Comparison Operators\n", "\n", @@ -813,90 +850,98 @@ "| `x < y` | is `x` less than `y`? |\n", "| `x <= y` | is `x` less than or equal to `y`? |\n", "| `x is y` | is `x` the same object as `y`? |" - ], - "metadata": {} + ] }, { "cell_type": "code", - "source": [ - "2 < 3" - ], + "execution_count": 46, + "metadata": {}, "outputs": [ { - "output_type": "execute_result", - "execution_count": 46, "data": { - "text/plain": "True" + "text/plain": [ + "True" + ] }, - "metadata": {} + "execution_count": 46, + "metadata": {}, + "output_type": "execute_result" } ], - "execution_count": 46, - "metadata": {} + "source": [ + "2 < 3" + ] }, { "cell_type": "code", - "source": [ - "\"Data Science\" != \"Deep Learning\"" - ], + "execution_count": 47, + "metadata": {}, "outputs": [ { - "output_type": "execute_result", - "execution_count": 47, "data": { - "text/plain": "True" + "text/plain": [ + "True" + ] }, - "metadata": {} + "execution_count": 47, + "metadata": {}, + "output_type": "execute_result" } ], - "execution_count": 47, - "metadata": {} + "source": [ + "\"Data Science\" != \"Deep Learning\"" + ] }, { "cell_type": "code", - "source": [ - "2 == \"2\"" - ], + "execution_count": 48, + "metadata": {}, "outputs": [ { - "output_type": "execute_result", - "execution_count": 48, "data": { - "text/plain": "False" + "text/plain": [ + "False" + ] }, - "metadata": {} + "execution_count": 48, + "metadata": {}, + "output_type": "execute_result" } ], - "execution_count": 48, - "metadata": {} + "source": [ + "2 == \"2\"" + ] }, { "cell_type": "code", - "source": [ - "2 == 2.0" - ], + "execution_count": 49, + "metadata": {}, "outputs": [ { - "output_type": "execute_result", - "execution_count": 49, "data": { - "text/plain": "True" + "text/plain": [ + "True" + ] }, - "metadata": {} + "execution_count": 49, + "metadata": {}, + "output_type": "execute_result" } ], - "execution_count": 49, - "metadata": {} + "source": [ + "2 == 2.0" + ] }, { "cell_type": "markdown", + "metadata": {}, "source": [ "Note: we will discuss `is` next week." - ], - "metadata": {} + ] }, { "cell_type": "markdown", + "metadata": {}, "source": [ "Operators on Boolean values.\n", "\n", @@ -905,469 +950,509 @@ "|`x and y`| are `x` and `y` both true? |\n", "|`x or y` | is at least one of `x` and `y` true? |\n", "| `not x` | is `x` false? | " - ], - "metadata": {} + ] }, { "cell_type": "code", - "source": [ - "True and True" - ], + "execution_count": 51, + "metadata": {}, "outputs": [ { - "output_type": "execute_result", - "execution_count": 51, "data": { - "text/plain": "True" + "text/plain": [ + "True" + ] }, - "metadata": {} + "execution_count": 51, + "metadata": {}, + "output_type": "execute_result" } ], - "execution_count": 51, - "metadata": {} + "source": [ + "True and True" + ] }, { "cell_type": "code", - "source": [ - "True and False" - ], + "execution_count": 50, + "metadata": {}, "outputs": [ { - "output_type": "execute_result", - "execution_count": 50, "data": { - "text/plain": "False" + "text/plain": [ + "False" + ] }, - "metadata": {} + "execution_count": 50, + "metadata": {}, + "output_type": "execute_result" } ], - "execution_count": 50, - "metadata": {} + "source": [ + "True and False" + ] }, { "cell_type": "code", - "source": [ - "False or False" - ], + "execution_count": 52, + "metadata": {}, "outputs": [ { - "output_type": "execute_result", - "execution_count": 52, "data": { - "text/plain": "False" + "text/plain": [ + "False" + ] }, - "metadata": {} + "execution_count": 52, + "metadata": {}, + "output_type": "execute_result" } ], - "execution_count": 52, - "metadata": {} + "source": [ + "False or False" + ] }, { "cell_type": "code", - "source": [ - "(\"Python 2\" != \"Python 3\") and (2 <= 3)" - ], + "execution_count": 53, + "metadata": {}, "outputs": [ { - "output_type": "execute_result", - "execution_count": 53, "data": { - "text/plain": "True" + "text/plain": [ + "True" + ] }, - "metadata": {} + "execution_count": 53, + "metadata": {}, + "output_type": "execute_result" } ], - "execution_count": 53, - "metadata": {} + "source": [ + "(\"Python 2\" != \"Python 3\") and (2 <= 3)" + ] }, { "cell_type": "code", - "source": [ - "not True" - ], + "execution_count": 54, + "metadata": {}, "outputs": [ { - "output_type": "execute_result", - "execution_count": 54, "data": { - "text/plain": "False" + "text/plain": [ + "False" + ] }, - "metadata": {} + "execution_count": 54, + "metadata": {}, + "output_type": "execute_result" } ], - "execution_count": 54, - "metadata": {} + "source": [ + "not True" + ] }, { "cell_type": "code", - "source": [ - "not not True" - ], + "execution_count": 55, + "metadata": {}, "outputs": [ { - "output_type": "execute_result", - "execution_count": 55, "data": { - "text/plain": "True" + "text/plain": [ + "True" + ] }, - "metadata": {} + "execution_count": 55, + "metadata": {}, + "output_type": "execute_result" } ], - "execution_count": 55, - "metadata": {} + "source": [ + "not not True" + ] }, { "cell_type": "markdown", + "metadata": {}, "source": [ "#### Casting\n", "\n", "- Sometimes (but rarely) we need to explicitly **cast** a value from one type to another.\n", "- Python tries to do something reasonable, or throws an error if it has no ideas." - ], - "metadata": {} + ] }, { "cell_type": "code", - "source": [ - "x = int(5.0)\n", - "x" - ], + "execution_count": 56, + "metadata": {}, "outputs": [ { - "output_type": "execute_result", - "execution_count": 56, "data": { - "text/plain": "5" + "text/plain": [ + "5" + ] }, - "metadata": {} + "execution_count": 56, + "metadata": {}, + "output_type": "execute_result" } ], - "execution_count": 56, - "metadata": {} + "source": [ + "x = int(5.0)\n", + "x" + ] }, { "cell_type": "code", - "source": [ - "type(x)" - ], + "execution_count": 57, + "metadata": {}, "outputs": [ { - "output_type": "execute_result", - "execution_count": 57, "data": { - "text/plain": "int" + "text/plain": [ + "int" + ] }, - "metadata": {} + "execution_count": 57, + "metadata": {}, + "output_type": "execute_result" } ], - "execution_count": 57, - "metadata": {} + "source": [ + "type(x)" + ] }, { "cell_type": "code", - "source": [ - "x = str(5.0)\n", - "x" - ], + "execution_count": 58, + "metadata": {}, "outputs": [ { - "output_type": "execute_result", - "execution_count": 58, "data": { - "text/plain": "'5.0'" + "text/plain": [ + "'5.0'" + ] }, - "metadata": {} + "execution_count": 58, + "metadata": {}, + "output_type": "execute_result" } ], - "execution_count": 58, - "metadata": {} + "source": [ + "x = str(5.0)\n", + "x" + ] }, { "cell_type": "code", - "source": [ - "type(x)" - ], + "execution_count": 59, + "metadata": {}, "outputs": [ { - "output_type": "execute_result", - "execution_count": 59, "data": { - "text/plain": "str" + "text/plain": [ + "str" + ] }, - "metadata": {} + "execution_count": 59, + "metadata": {}, + "output_type": "execute_result" } ], - "execution_count": 59, - "metadata": {} + "source": [ + "type(x)" + ] }, { "cell_type": "code", - "source": [ - "str(5.0) == 5.0" - ], + "execution_count": 60, + "metadata": {}, "outputs": [ { - "output_type": "execute_result", - "execution_count": 60, "data": { - "text/plain": "False" + "text/plain": [ + "False" + ] }, - "metadata": {} + "execution_count": 60, + "metadata": {}, + "output_type": "execute_result" } ], - "execution_count": 60, - "metadata": {} + "source": [ + "str(5.0) == 5.0" + ] }, { "cell_type": "code", - "source": [ - "# list(5.0) # there is no reasonable thing to do here" - ], - "outputs": [], "execution_count": 1, "metadata": { "execution": { - "shell.execute_reply": "2021-01-10T01:58:33.594Z", - "iopub.status.busy": "2021-01-10T01:58:33.749Z", "iopub.execute_input": "2021-01-10T01:58:33.810Z", - "iopub.status.idle": "2021-01-10T01:58:33.909Z" + "iopub.status.busy": "2021-01-10T01:58:33.749Z", + "iopub.status.idle": "2021-01-10T01:58:33.909Z", + "shell.execute_reply": "2021-01-10T01:58:33.594Z" } - } + }, + "outputs": [], + "source": [ + "# list(5.0) # there is no reasonable thing to do here" + ] }, { "cell_type": "code", - "source": [ - "int(5.3)" - ], + "execution_count": 62, + "metadata": {}, "outputs": [ { - "output_type": "execute_result", - "execution_count": 62, "data": { - "text/plain": "5" + "text/plain": [ + "5" + ] }, - "metadata": {} + "execution_count": 62, + "metadata": {}, + "output_type": "execute_result" } ], - "execution_count": 62, - "metadata": {} + "source": [ + "int(5.3)" + ] }, { "cell_type": "markdown", + "metadata": {}, "source": [ "## Lists and Tuples (20 min)\n", "\n", "- Lists and tuples allow us to store multiple things (\"elements\") in a single object.\n", "- The elements are _ordered_." - ], - "metadata": {} + ] }, { "cell_type": "code", + "execution_count": 63, + "metadata": {}, + "outputs": [], "source": [ "my_list = [1, 2, \"THREE\", 4, 0.5]" - ], - "outputs": [], - "execution_count": 63, - "metadata": {} + ] }, { "cell_type": "code", - "source": [ - "print(my_list)" - ], + "execution_count": 65, + "metadata": {}, "outputs": [ { - "output_type": "stream", "name": "stdout", + "output_type": "stream", "text": [ "[1, 2, 'THREE', 4, 0.5]\n" ] } ], - "execution_count": 65, - "metadata": {} + "source": [ + "print(my_list)" + ] }, { "cell_type": "code", - "source": [ - "type(my_list)" - ], + "execution_count": 66, + "metadata": {}, "outputs": [ { - "output_type": "execute_result", - "execution_count": 66, "data": { - "text/plain": "list" + "text/plain": [ + "list" + ] }, - "metadata": {} + "execution_count": 66, + "metadata": {}, + "output_type": "execute_result" } ], - "execution_count": 66, - "metadata": {} + "source": [ + "type(my_list)" + ] }, { "cell_type": "markdown", + "metadata": {}, "source": [ "You can get the length of the list with `len`:" - ], - "metadata": {} + ] }, { "cell_type": "code", - "source": [ - "len(my_list)" - ], + "execution_count": 67, + "metadata": {}, "outputs": [ { - "output_type": "execute_result", - "execution_count": 67, "data": { - "text/plain": "5" + "text/plain": [ + "5" + ] }, - "metadata": {} + "execution_count": 67, + "metadata": {}, + "output_type": "execute_result" } ], - "execution_count": 67, - "metadata": {} + "source": [ + "len(my_list)" + ] }, { "cell_type": "code", + "execution_count": 68, + "metadata": {}, + "outputs": [], "source": [ "today = (1, 2, \"THREE\", 4, 0.5)" - ], - "outputs": [], - "execution_count": 68, - "metadata": {} + ] }, { "cell_type": "code", - "source": [ - "print(today)" - ], + "execution_count": 69, + "metadata": {}, "outputs": [ { - "output_type": "stream", "name": "stdout", + "output_type": "stream", "text": [ "(1, 2, 'THREE', 4, 0.5)\n" ] } ], - "execution_count": 69, - "metadata": {} + "source": [ + "print(today)" + ] }, { "cell_type": "code", - "source": [ - "type(today)" - ], + "execution_count": 70, + "metadata": {}, "outputs": [ { - "output_type": "execute_result", - "execution_count": 70, "data": { - "text/plain": "tuple" + "text/plain": [ + "tuple" + ] }, - "metadata": {} + "execution_count": 70, + "metadata": {}, + "output_type": "execute_result" } ], - "execution_count": 70, - "metadata": {} + "source": [ + "type(today)" + ] }, { "cell_type": "code", - "source": [ - "len(today)" - ], + "execution_count": 71, + "metadata": {}, "outputs": [ { - "output_type": "execute_result", - "execution_count": 71, "data": { - "text/plain": "5" + "text/plain": [ + "5" + ] }, - "metadata": {} + "execution_count": 71, + "metadata": {}, + "output_type": "execute_result" } ], - "execution_count": 71, - "metadata": {} + "source": [ + "len(today)" + ] }, { "cell_type": "markdown", + "metadata": {}, "source": [ "### Indexing and Slicing Sequences\n", "\n", "- We can access values inside a list, tuple, or string using the backet syntax. \n", "- Python uses zero-based indexing, which means the first element of the list is in position 0, not position 1. \n", "- Sadly, R uses one-based indexing, so get ready to be confused." - ], - "metadata": {} + ] }, { "cell_type": "code", - "source": [ - "my_list" - ], + "execution_count": 72, + "metadata": {}, "outputs": [ { - "output_type": "execute_result", - "execution_count": 72, "data": { - "text/plain": "[1, 2, 'THREE', 4, 0.5]" + "text/plain": [ + "[1, 2, 'THREE', 4, 0.5]" + ] }, - "metadata": {} + "execution_count": 72, + "metadata": {}, + "output_type": "execute_result" } ], - "execution_count": 72, - "metadata": {} + "source": [ + "my_list" + ] }, { "cell_type": "code", - "source": [ - "my_list[0]" - ], + "execution_count": 73, + "metadata": {}, "outputs": [ { - "output_type": "execute_result", - "execution_count": 73, "data": { - "text/plain": "1" + "text/plain": [ + "1" + ] }, - "metadata": {} + "execution_count": 73, + "metadata": {}, + "output_type": "execute_result" } ], - "execution_count": 73, - "metadata": {} + "source": [ + "my_list[0]" + ] }, { "cell_type": "code", - "source": [ - "my_list[4]" - ], + "execution_count": 74, + "metadata": {}, "outputs": [ { - "output_type": "execute_result", - "execution_count": 74, "data": { - "text/plain": "0.5" + "text/plain": [ + "0.5" + ] }, - "metadata": {} + "execution_count": 74, + "metadata": {}, + "output_type": "execute_result" } ], - "execution_count": 74, - "metadata": {} + "source": [ + "my_list[4]" + ] }, { "cell_type": "code", - "source": [ - "my_list[5]" - ], + "execution_count": 75, + "metadata": { + "tags": [ + "skip-execution" + ] + }, "outputs": [ { - "output_type": "error", "ename": "IndexError", "evalue": "list index out of range", + "output_type": "error", "traceback": [ "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", "\u001b[0;31mIndexError\u001b[0m Traceback (most recent call last)", @@ -1376,530 +1461,603 @@ ] } ], - "execution_count": 75, - "metadata": {} + "source": [ + "my_list[5]" + ] }, { "cell_type": "code", - "source": [ - "today[4]" - ], + "execution_count": 77, + "metadata": {}, "outputs": [ { - "output_type": "execute_result", - "execution_count": 77, "data": { - "text/plain": "0.5" + "text/plain": [ + "0.5" + ] }, - "metadata": {} + "execution_count": 77, + "metadata": {}, + "output_type": "execute_result" } ], - "execution_count": 77, - "metadata": {} + "source": [ + "today[4]" + ] }, { "cell_type": "markdown", + "metadata": {}, "source": [ "We use negative indices to count backwards from the end of the list." - ], - "metadata": {} + ] }, { "cell_type": "code", - "source": [ - "my_list" - ], + "execution_count": 80, + "metadata": {}, "outputs": [ { - "output_type": "execute_result", - "execution_count": 80, "data": { - "text/plain": "[1, 2, 'THREE', 4, 0.5]" + "text/plain": [ + "[1, 2, 'THREE', 4, 0.5]" + ] }, - "metadata": {} + "execution_count": 80, + "metadata": {}, + "output_type": "execute_result" } ], - "execution_count": 80, - "metadata": {} + "source": [ + "my_list" + ] }, { "cell_type": "code", - "source": [ - "my_list[-1]" - ], + "execution_count": 81, + "metadata": {}, "outputs": [ { - "output_type": "execute_result", - "execution_count": 81, "data": { - "text/plain": "0.5" + "text/plain": [ + "0.5" + ] }, - "metadata": {} + "execution_count": 81, + "metadata": {}, + "output_type": "execute_result" } ], - "execution_count": 81, - "metadata": {} + "source": [ + "my_list[-1]" + ] }, { "cell_type": "markdown", + "metadata": {}, "source": [ "We use the colon `:` to access a subsequence. This is called \"slicing\"." - ], - "metadata": {} + ] }, { "cell_type": "code", - "source": [ - "my_list[1:4]" - ], + "execution_count": 84, + "metadata": {}, "outputs": [ { - "output_type": "execute_result", - "execution_count": 84, "data": { - "text/plain": "[2, 'THREE', 4]" + "text/plain": [ + "[2, 'THREE', 4]" + ] }, - "metadata": {} + "execution_count": 84, + "metadata": {}, + "output_type": "execute_result" } ], - "execution_count": 84, - "metadata": {} + "source": [ + "my_list[1:4]" + ] }, { "cell_type": "markdown", + "metadata": {}, "source": [ "- Above: note that the start is inclusive and the end is exclusive.\n", "- So `my_list[1:3]` fetches elements 1 and 2, but not 3.\n", "- In other words, it gets the 2nd and 3rd elements in the list." - ], - "metadata": {} + ] }, { "cell_type": "markdown", + "metadata": {}, "source": [ "We can omit the start or end:" - ], - "metadata": {} + ] }, { "cell_type": "code", - "source": [ - "my_list[:3]" - ], + "execution_count": 85, + "metadata": {}, "outputs": [ { - "output_type": "execute_result", - "execution_count": 85, "data": { - "text/plain": "[1, 2, 'THREE']" + "text/plain": [ + "[1, 2, 'THREE']" + ] }, - "metadata": {} + "execution_count": 85, + "metadata": {}, + "output_type": "execute_result" } ], - "execution_count": 85, - "metadata": {} + "source": [ + "my_list[:3]" + ] }, { "cell_type": "code", - "source": [ - "my_list[3:]" - ], + "execution_count": 86, + "metadata": {}, "outputs": [ { - "output_type": "execute_result", - "execution_count": 86, "data": { - "text/plain": "[4, 0.5]" + "text/plain": [ + "[4, 0.5]" + ] }, - "metadata": {} + "execution_count": 86, + "metadata": {}, + "output_type": "execute_result" } ], - "execution_count": 86, - "metadata": {} + "source": [ + "my_list[3:]" + ] }, { "cell_type": "code", - "source": [ - "my_list[:] # *almost* same as my_list - more details next week" - ], + "execution_count": 87, + "metadata": {}, "outputs": [ { - "output_type": "execute_result", - "execution_count": 87, "data": { - "text/plain": "[1, 2, 'THREE', 4, 0.5]" + "text/plain": [ + "[1, 2, 'THREE', 4, 0.5]" + ] }, - "metadata": {} + "execution_count": 87, + "metadata": {}, + "output_type": "execute_result" } ], - "execution_count": 87, - "metadata": {} + "source": [ + "my_list[:] # *almost* same as my_list - more details next week" + ] }, { "cell_type": "markdown", + "metadata": {}, "source": [ "Strings behave the same as lists and tuples when it comes to indexing and slicing." - ], - "metadata": {} + ] }, { "cell_type": "code", + "execution_count": 88, + "metadata": {}, + "outputs": [], "source": [ "alphabet = \"abcdefghijklmnopqrstuvwxyz\"" - ], - "outputs": [], - "execution_count": 88, - "metadata": {} + ] }, { "cell_type": "code", - "source": [ - "alphabet[0]" - ], + "execution_count": 89, + "metadata": {}, "outputs": [ { - "output_type": "execute_result", - "execution_count": 89, "data": { - "text/plain": "'a'" + "text/plain": [ + "'a'" + ] }, - "metadata": {} + "execution_count": 89, + "metadata": {}, + "output_type": "execute_result" } ], - "execution_count": 89, - "metadata": {} + "source": [ + "alphabet[0]" + ] }, { "cell_type": "code", - "source": [ - "alphabet[-1]" - ], + "execution_count": 90, + "metadata": {}, "outputs": [ { - "output_type": "execute_result", - "execution_count": 90, "data": { - "text/plain": "'z'" + "text/plain": [ + "'z'" + ] }, - "metadata": {} + "execution_count": 90, + "metadata": {}, + "output_type": "execute_result" } ], - "execution_count": 90, - "metadata": {} + "source": [ + "alphabet[-1]" + ] }, { "cell_type": "code", - "source": [ - "alphabet[-3]" - ], + "execution_count": 91, + "metadata": {}, "outputs": [ { - "output_type": "execute_result", - "execution_count": 91, "data": { - "text/plain": "'x'" + "text/plain": [ + "'x'" + ] }, - "metadata": {} + "execution_count": 91, + "metadata": {}, + "output_type": "execute_result" } ], - "execution_count": 91, - "metadata": {} + "source": [ + "alphabet[-3]" + ] }, { "cell_type": "code", - "source": [ - "alphabet[:5]" - ], + "execution_count": 92, + "metadata": {}, "outputs": [ { - "output_type": "execute_result", - "execution_count": 92, "data": { - "text/plain": "'abcde'" + "text/plain": [ + "'abcde'" + ] }, - "metadata": {} + "execution_count": 92, + "metadata": {}, + "output_type": "execute_result" } ], - "execution_count": 92, - "metadata": {} + "source": [ + "alphabet[:5]" + ] }, { "cell_type": "code", - "source": [ - "alphabet[12:20]" - ], + "execution_count": 93, + "metadata": {}, "outputs": [ { - "output_type": "execute_result", - "execution_count": 93, "data": { - "text/plain": "'mnopqrst'" + "text/plain": [ + "'mnopqrst'" + ] }, - "metadata": {} + "execution_count": 93, + "metadata": {}, + "output_type": "execute_result" } ], - "execution_count": 93, - "metadata": {} + "source": [ + "alphabet[12:20]" + ] }, { "cell_type": "markdown", + "metadata": {}, "source": [ "#### List Methods\n", "\n", "- A list is an object and it has methods for interacting with its data. \n", "- For example, `list.append(item)` appends an item to the end of the list. \n", "- See the documentation for more [list methods](https://docs.python.org/3/tutorial/datastructures.html#more-on-lists)." - ], - "metadata": {} + ] }, { "cell_type": "code", - "source": [ - "primes = [2,3,5,7,11]\n", - "primes" - ], + "execution_count": 94, + "metadata": {}, "outputs": [ { - "output_type": "execute_result", - "execution_count": 94, "data": { - "text/plain": "[2, 3, 5, 7, 11]" + "text/plain": [ + "[2, 3, 5, 7, 11]" + ] }, - "metadata": {} + "execution_count": 94, + "metadata": {}, + "output_type": "execute_result" } ], - "execution_count": 94, - "metadata": {} + "source": [ + "primes = [2,3,5,7,11]\n", + "primes" + ] }, { "cell_type": "code", - "source": [ - "len(primes)" - ], + "execution_count": 95, + "metadata": {}, "outputs": [ { - "output_type": "execute_result", - "execution_count": 95, "data": { - "text/plain": "5" + "text/plain": [ + "5" + ] }, - "metadata": {} + "execution_count": 95, + "metadata": {}, + "output_type": "execute_result" } ], - "execution_count": 95, - "metadata": {} + "source": [ + "len(primes)" + ] }, { "cell_type": "code", + "execution_count": 114, + "metadata": {}, + "outputs": [], "source": [ "primes.append(13)" - ], - "outputs": [], - "execution_count": 114, - "metadata": {} + ] }, { "cell_type": "code", + "execution_count": 115, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[2,\n", + " 3,\n", + " 5,\n", + " 7,\n", + " 11,\n", + " 13,\n", + " 13,\n", + " 13,\n", + " 13,\n", + " 13,\n", + " 13,\n", + " 13,\n", + " 13,\n", + " 13,\n", + " 13,\n", + " 13,\n", + " 13,\n", + " 13,\n", + " 13,\n", + " 13,\n", + " 13,\n", + " 13]" + ] + }, + "execution_count": 115, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "primes" - ], + ] + }, + { + "cell_type": "code", + "execution_count": 116, + "metadata": {}, "outputs": [ { - "output_type": "execute_result", - "execution_count": 115, "data": { - "text/plain": "[2,\n 3,\n 5,\n 7,\n 11,\n 13,\n 13,\n 13,\n 13,\n 13,\n 13,\n 13,\n 13,\n 13,\n 13,\n 13,\n 13,\n 13,\n 13,\n 13,\n 13,\n 13]" + "text/plain": [ + "22" + ] }, - "metadata": {} + "execution_count": 116, + "metadata": {}, + "output_type": "execute_result" } ], - "execution_count": 115, - "metadata": {} - }, - { - "cell_type": "code", "source": [ "len(primes)" - ], - "outputs": [ - { - "output_type": "execute_result", - "execution_count": 116, - "data": { - "text/plain": "22" - }, - "metadata": {} - } - ], - "execution_count": 116, - "metadata": {} + ] }, { "cell_type": "code", - "source": [ - "max(primes)" - ], + "execution_count": 117, + "metadata": {}, "outputs": [ { - "output_type": "execute_result", - "execution_count": 117, "data": { - "text/plain": "13" + "text/plain": [ + "13" + ] }, - "metadata": {} + "execution_count": 117, + "metadata": {}, + "output_type": "execute_result" } ], - "execution_count": 117, - "metadata": {} + "source": [ + "max(primes)" + ] }, { "cell_type": "code", - "source": [ - "min(primes)" - ], + "execution_count": 118, + "metadata": {}, "outputs": [ { - "output_type": "execute_result", - "execution_count": 118, "data": { - "text/plain": "2" + "text/plain": [ + "2" + ] }, - "metadata": {} + "execution_count": 118, + "metadata": {}, + "output_type": "execute_result" } ], - "execution_count": 118, - "metadata": {} + "source": [ + "min(primes)" + ] }, { "cell_type": "code", - "source": [ - "sum(primes)" - ], + "execution_count": 119, + "metadata": {}, "outputs": [ { - "output_type": "execute_result", - "execution_count": 119, "data": { - "text/plain": "249" + "text/plain": [ + "249" + ] }, - "metadata": {} + "execution_count": 119, + "metadata": {}, + "output_type": "execute_result" } ], - "execution_count": 119, - "metadata": {} + "source": [ + "sum(primes)" + ] }, { "cell_type": "code", - "source": [ - "[1,2,3] + [\"Hello\", 7]" - ], + "execution_count": 120, + "metadata": {}, "outputs": [ { - "output_type": "execute_result", - "execution_count": 120, "data": { - "text/plain": "[1, 2, 3, 'Hello', 7]" + "text/plain": [ + "[1, 2, 3, 'Hello', 7]" + ] }, - "metadata": {} + "execution_count": 120, + "metadata": {}, + "output_type": "execute_result" } ], - "execution_count": 120, - "metadata": {} + "source": [ + "[1,2,3] + [\"Hello\", 7]" + ] }, { "cell_type": "markdown", + "metadata": {}, "source": [ "#### Sets\n", "\n", "- Another built-in Python data type is the `set`, which stores an _un-ordered_ list of _unique_ items.\n", "- More on sets in DSCI 512." - ], - "metadata": {} + ] }, { "cell_type": "code", - "source": [ - "s = {2,3,5,11}\n", - "s" - ], + "execution_count": 121, + "metadata": {}, "outputs": [ { - "output_type": "execute_result", - "execution_count": 121, "data": { - "text/plain": "{2, 3, 5, 11}" + "text/plain": [ + "{2, 3, 5, 11}" + ] }, - "metadata": {} + "execution_count": 121, + "metadata": {}, + "output_type": "execute_result" } ], - "execution_count": 121, - "metadata": {} + "source": [ + "s = {2,3,5,11}\n", + "s" + ] }, { "cell_type": "code", - "source": [ - "{1,2,3} == {3,2,1}" - ], + "execution_count": 122, + "metadata": {}, "outputs": [ { - "output_type": "execute_result", - "execution_count": 122, "data": { - "text/plain": "True" + "text/plain": [ + "True" + ] }, - "metadata": {} + "execution_count": 122, + "metadata": {}, + "output_type": "execute_result" } ], - "execution_count": 122, - "metadata": {} + "source": [ + "{1,2,3} == {3,2,1}" + ] }, { "cell_type": "code", - "source": [ - "[1,2,3] == [3,2,1]" - ], + "execution_count": 123, + "metadata": {}, "outputs": [ { - "output_type": "execute_result", - "execution_count": 123, "data": { - "text/plain": "False" + "text/plain": [ + "False" + ] }, - "metadata": {} + "execution_count": 123, + "metadata": {}, + "output_type": "execute_result" } ], - "execution_count": 123, - "metadata": {} + "source": [ + "[1,2,3] == [3,2,1]" + ] }, { "cell_type": "code", - "source": [ - "s.add(2) # does nothing\n", - "s" - ], + "execution_count": 124, + "metadata": {}, "outputs": [ { - "output_type": "execute_result", - "execution_count": 124, "data": { - "text/plain": "{2, 3, 5, 11}" + "text/plain": [ + "{2, 3, 5, 11}" + ] }, - "metadata": {} + "execution_count": 124, + "metadata": {}, + "output_type": "execute_result" } ], - "execution_count": 124, - "metadata": {} + "source": [ + "s.add(2) # does nothing\n", + "s" + ] }, { "cell_type": "code", - "source": [ - "s[0]" - ], + "execution_count": 125, + "metadata": { + "tags": [ + "skip-execution" + ] + }, "outputs": [ { - "output_type": "error", "ename": "TypeError", "evalue": "'set' object is not subscriptable", + "output_type": "error", "traceback": [ "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", "\u001b[0;31mTypeError\u001b[0m Traceback (most recent call last)", @@ -1908,94 +2066,104 @@ ] } ], - "execution_count": 125, - "metadata": {} + "source": [ + "s[0]" + ] }, { "cell_type": "markdown", + "metadata": {}, "source": [ "Above: throws an error because elements are not ordered." - ], - "metadata": {} + ] }, { "cell_type": "markdown", + "metadata": {}, "source": [ "#### Mutable vs. Immutable Types\n", "\n", "- Strings and tuples are immutable types which means they cannot be modified. \n", "- Lists are mutable and we can assign new values for its various entries. \n", "- This is the main difference between lists and tuples." - ], - "metadata": {} + ] }, { "cell_type": "code", - "source": [ - "names_list = [\"Indiana\",\"Fang\",\"Linsey\"]\n", - "names_list" - ], + "execution_count": 126, + "metadata": {}, "outputs": [ { - "output_type": "execute_result", - "execution_count": 126, "data": { - "text/plain": "['Indiana', 'Fang', 'Linsey']" + "text/plain": [ + "['Indiana', 'Fang', 'Linsey']" + ] }, - "metadata": {} + "execution_count": 126, + "metadata": {}, + "output_type": "execute_result" } ], - "execution_count": 126, - "metadata": {} + "source": [ + "names_list = [\"Indiana\",\"Fang\",\"Linsey\"]\n", + "names_list" + ] }, { "cell_type": "code", - "source": [ - "names_list[0] = \"Cool guy\"\n", - "names_list" - ], + "execution_count": 128, + "metadata": {}, "outputs": [ { - "output_type": "execute_result", - "execution_count": 128, "data": { - "text/plain": "['Cool guy', 'Fang', 'Linsey']" + "text/plain": [ + "['Cool guy', 'Fang', 'Linsey']" + ] }, - "metadata": {} + "execution_count": 128, + "metadata": {}, + "output_type": "execute_result" } ], - "execution_count": 128, - "metadata": {} + "source": [ + "names_list[0] = \"Cool guy\"\n", + "names_list" + ] }, { "cell_type": "code", - "source": [ - "names_tuple = (\"Indiana\",\"Fang\",\"Linsey\")\n", - "names_tuple" - ], + "execution_count": 129, + "metadata": {}, "outputs": [ { - "output_type": "execute_result", - "execution_count": 129, "data": { - "text/plain": "('Indiana', 'Fang', 'Linsey')" + "text/plain": [ + "('Indiana', 'Fang', 'Linsey')" + ] }, - "metadata": {} + "execution_count": 129, + "metadata": {}, + "output_type": "execute_result" } ], - "execution_count": 129, - "metadata": {} + "source": [ + "names_tuple = (\"Indiana\",\"Fang\",\"Linsey\")\n", + "names_tuple" + ] }, { "cell_type": "code", - "source": [ - "names_tuple[0] = \"Not cool guy\"" - ], + "execution_count": 130, + "metadata": { + "tags": [ + "skip-execution" + ] + }, "outputs": [ { - "output_type": "error", "ename": "TypeError", "evalue": "'tuple' object does not support item assignment", + "output_type": "error", "traceback": [ "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", "\u001b[0;31mTypeError\u001b[0m Traceback (most recent call last)", @@ -2004,35 +2172,39 @@ ] } ], - "execution_count": 130, - "metadata": {} + "source": [ + "names_tuple[0] = \"Not cool guy\"" + ] }, { "cell_type": "markdown", + "metadata": {}, "source": [ "Same goes for strings. Once defined we cannot modifiy the characters of the string." - ], - "metadata": {} + ] }, { "cell_type": "code", + "execution_count": 131, + "metadata": {}, + "outputs": [], "source": [ "my_name = \"Mike\"" - ], - "outputs": [], - "execution_count": 131, - "metadata": {} + ] }, { "cell_type": "code", - "source": [ - "my_name[-1] = 'q'" - ], + "execution_count": 132, + "metadata": { + "tags": [ + "skip-execution" + ] + }, "outputs": [ { - "output_type": "error", "ename": "TypeError", "evalue": "'str' object does not support item assignment", + "output_type": "error", "traceback": [ "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", "\u001b[0;31mTypeError\u001b[0m Traceback (most recent call last)", @@ -2041,28 +2213,32 @@ ] } ], - "execution_count": 132, - "metadata": {} + "source": [ + "my_name[-1] = 'q'" + ] }, { "cell_type": "code", + "execution_count": 137, + "metadata": {}, + "outputs": [], "source": [ "x = ([1,2,3],5)" - ], - "outputs": [], - "execution_count": 137, - "metadata": {} + ] }, { "cell_type": "code", - "source": [ - "x[1] = 7" - ], + "execution_count": 138, + "metadata": { + "tags": [ + "skip-execution" + ] + }, "outputs": [ { - "output_type": "error", "ename": "TypeError", "evalue": "'tuple' object does not support item assignment", + "output_type": "error", "traceback": [ "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", "\u001b[0;31mTypeError\u001b[0m Traceback (most recent call last)", @@ -2071,355 +2247,400 @@ ] } ], - "execution_count": 138, - "metadata": {} + "source": [ + "x[1] = 7" + ] }, { "cell_type": "code", - "source": [ - "x" - ], + "execution_count": 139, + "metadata": {}, "outputs": [ { - "output_type": "execute_result", - "execution_count": 139, "data": { - "text/plain": "([1, 2, 3], 5)" + "text/plain": [ + "([1, 2, 3], 5)" + ] }, - "metadata": {} + "execution_count": 139, + "metadata": {}, + "output_type": "execute_result" } ], - "execution_count": 139, - "metadata": {} + "source": [ + "x" + ] }, { "cell_type": "code", + "execution_count": 140, + "metadata": {}, + "outputs": [], "source": [ "x[0][1] = 4" - ], - "outputs": [], - "execution_count": 140, - "metadata": {} + ] }, { "cell_type": "code", - "source": [ - "x" - ], + "execution_count": 141, + "metadata": {}, "outputs": [ { - "output_type": "execute_result", - "execution_count": 141, "data": { - "text/plain": "([1, 4, 3], 5)" + "text/plain": [ + "([1, 4, 3], 5)" + ] }, - "metadata": {} + "execution_count": 141, + "metadata": {}, + "output_type": "execute_result" } ], - "execution_count": 141, - "metadata": {} + "source": [ + "x" + ] }, { "cell_type": "markdown", + "metadata": {}, "source": [ "## Break (5 min)" - ], - "metadata": {} + ] }, { "cell_type": "markdown", + "metadata": {}, "source": [ "## String Methods (5 min)\n", "\n", "- There are various useful string methods in Python.\n", "- MDS-CL students will soon be the experts we can go to for help!" - ], - "metadata": {} + ] }, { "cell_type": "code", - "source": [ - "all_caps = \"HOW ARE YOU TODAY?\"\n", - "print(all_caps)" - ], + "execution_count": 142, + "metadata": {}, "outputs": [ { - "output_type": "stream", "name": "stdout", + "output_type": "stream", "text": [ "HOW ARE YOU TODAY?\n" ] } ], - "execution_count": 142, - "metadata": {} + "source": [ + "all_caps = \"HOW ARE YOU TODAY?\"\n", + "print(all_caps)" + ] }, { "cell_type": "code", - "source": [ - "new_str = all_caps.lower()\n", - "new_str" - ], + "execution_count": 145, + "metadata": {}, "outputs": [ { - "output_type": "execute_result", - "execution_count": 145, "data": { - "text/plain": "'how are you today?'" + "text/plain": [ + "'how are you today?'" + ] }, - "metadata": {} + "execution_count": 145, + "metadata": {}, + "output_type": "execute_result" } ], - "execution_count": 145, - "metadata": {} + "source": [ + "new_str = all_caps.lower()\n", + "new_str" + ] }, { "cell_type": "markdown", + "metadata": {}, "source": [ "Note that the method lower doesn't change the original string but rather returns a new one.\n" - ], - "metadata": {} + ] }, { "cell_type": "code", - "source": [ - "all_caps" - ], + "execution_count": 146, + "metadata": {}, "outputs": [ { - "output_type": "execute_result", - "execution_count": 146, "data": { - "text/plain": "'HOW ARE YOU TODAY?'" + "text/plain": [ + "'HOW ARE YOU TODAY?'" + ] }, - "metadata": {} + "execution_count": 146, + "metadata": {}, + "output_type": "execute_result" } ], - "execution_count": 146, - "metadata": {} + "source": [ + "all_caps" + ] }, { "cell_type": "markdown", + "metadata": {}, "source": [ "There are *many* string methods. Check out the [documentation](https://docs.python.org/3/library/stdtypes.html#string-methods)." - ], - "metadata": {} + ] }, { "cell_type": "code", - "source": [ - "all_caps.split()" - ], + "execution_count": 147, + "metadata": {}, "outputs": [ { - "output_type": "execute_result", - "execution_count": 147, "data": { - "text/plain": "['HOW', 'ARE', 'YOU', 'TODAY?']" + "text/plain": [ + "['HOW', 'ARE', 'YOU', 'TODAY?']" + ] }, - "metadata": {} + "execution_count": 147, + "metadata": {}, + "output_type": "execute_result" } ], - "execution_count": 147, - "metadata": {} + "source": [ + "all_caps.split()" + ] }, { "cell_type": "code", - "source": [ - "all_caps.count(\"O\")" - ], + "execution_count": 148, + "metadata": {}, "outputs": [ { - "output_type": "execute_result", - "execution_count": 148, "data": { - "text/plain": "3" + "text/plain": [ + "3" + ] }, - "metadata": {} + "execution_count": 148, + "metadata": {}, + "output_type": "execute_result" } ], - "execution_count": 148, - "metadata": {} - }, + "source": [ + "all_caps.count(\"O\")" + ] + }, { "cell_type": "markdown", + "metadata": {}, "source": [ "One can explicitly cast a string to a list:" - ], - "metadata": {} + ] }, { "cell_type": "code", - "source": [ - "caps_list = list(all_caps)\n", - "caps_list" - ], - "outputs": [ - { - "output_type": "execute_result", - "execution_count": 151, - "data": { - "text/plain": "['H',\n 'O',\n 'W',\n ' ',\n 'A',\n 'R',\n 'E',\n ' ',\n 'Y',\n 'O',\n 'U',\n ' ',\n 'T',\n 'O',\n 'D',\n 'A',\n 'Y',\n '?']" + "execution_count": 151, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "['H',\n", + " 'O',\n", + " 'W',\n", + " ' ',\n", + " 'A',\n", + " 'R',\n", + " 'E',\n", + " ' ',\n", + " 'Y',\n", + " 'O',\n", + " 'U',\n", + " ' ',\n", + " 'T',\n", + " 'O',\n", + " 'D',\n", + " 'A',\n", + " 'Y',\n", + " '?']" + ] }, - "metadata": {} + "execution_count": 151, + "metadata": {}, + "output_type": "execute_result" } ], - "execution_count": 151, - "metadata": {} + "source": [ + "caps_list = list(all_caps)\n", + "caps_list" + ] }, { "cell_type": "code", - "source": [ - "len(all_caps)" - ], + "execution_count": 152, + "metadata": {}, "outputs": [ { - "output_type": "execute_result", - "execution_count": 152, "data": { - "text/plain": "18" + "text/plain": [ + "18" + ] }, - "metadata": {} + "execution_count": 152, + "metadata": {}, + "output_type": "execute_result" } ], - "execution_count": 152, - "metadata": {} + "source": [ + "len(all_caps)" + ] }, { "cell_type": "code", - "source": [ - "len(caps_list)" - ], + "execution_count": 153, + "metadata": {}, "outputs": [ { - "output_type": "execute_result", - "execution_count": 153, "data": { - "text/plain": "18" + "text/plain": [ + "18" + ] }, - "metadata": {} + "execution_count": 153, + "metadata": {}, + "output_type": "execute_result" } ], - "execution_count": 153, - "metadata": {} + "source": [ + "len(caps_list)" + ] }, { "cell_type": "markdown", + "metadata": {}, "source": [ "### String formatting\n", "\n", "- Python has ways of creating strings by \"filling in the blanks\" and formatting them nicely. \n", "- There are a few ways of doing this. See [here](https://realpython.com/python-string-formatting/) and [here](https://stackoverflow.com/questions/5082452/string-formatting-vs-format) for some discussion." - ], - "metadata": {} + ] }, { "cell_type": "markdown", + "metadata": {}, "source": [ "Old formatting style (borrowed from the C programming language):" - ], - "metadata": {} + ] }, { "cell_type": "code", + "execution_count": 154, + "metadata": {}, + "outputs": [], "source": [ "template = \"Hello, my name is %s. I am %.2f years old.\"" - ], - "outputs": [], - "execution_count": 154, - "metadata": {} + ] }, { "cell_type": "code", - "source": [ - "template % (\"Newborn Baby\", 4/12)" - ], + "execution_count": 155, + "metadata": {}, "outputs": [ { - "output_type": "execute_result", - "execution_count": 155, "data": { - "text/plain": "'Hello, my name is Newborn Baby. I am 0.33 years old.'" + "text/plain": [ + "'Hello, my name is Newborn Baby. I am 0.33 years old.'" + ] }, - "metadata": {} + "execution_count": 155, + "metadata": {}, + "output_type": "execute_result" } ], - "execution_count": 155, - "metadata": {} + "source": [ + "template % (\"Newborn Baby\", 4/12)" + ] }, { "cell_type": "markdown", + "metadata": {}, "source": [ "New formatting style (see [documentation](https://docs.python.org/3/library/stdtypes.html#str.format)):" - ], - "metadata": {} + ] }, { "cell_type": "code", + "execution_count": 156, + "metadata": {}, + "outputs": [], "source": [ "template_new = \"Hello, my name is {}. I am {:.2f} years old.\"" - ], - "outputs": [], - "execution_count": 156, - "metadata": {} + ] }, { "cell_type": "code", - "source": [ - "template_new.format('Newborn Baby', 4/12)" - ], + "execution_count": 157, + "metadata": {}, "outputs": [ { - "output_type": "execute_result", - "execution_count": 157, "data": { - "text/plain": "'Hello, my name is Newborn Baby. I am 0.33 years old.'" + "text/plain": [ + "'Hello, my name is Newborn Baby. I am 0.33 years old.'" + ] }, - "metadata": {} + "execution_count": 157, + "metadata": {}, + "output_type": "execute_result" } ], - "execution_count": 157, - "metadata": {} + "source": [ + "template_new.format('Newborn Baby', 4/12)" + ] }, { "cell_type": "markdown", + "metadata": {}, "source": [ "Newer formatting style (see [here](https://realpython.com/python-f-strings/#f-strings-a-new-and-improved-way-to-format-strings-in-python)) - note the `f` before the start of the string:" - ], - "metadata": {} + ] }, { "cell_type": "code", - "source": [ - "name = \"Newborn Baby\"\n", - "age = 4/12\n", - "template_new = f'Hello, my name is {name}. I am {age:.2f} years old.'\n", - "template_new" - ], + "execution_count": 3, + "metadata": {}, "outputs": [ { - "output_type": "execute_result", - "execution_count": 3, "data": { - "text/plain": "'Hello, my name is Newborn Baby. I am 0.33 years old.'" + "text/plain": [ + "'Hello, my name is Newborn Baby. I am 0.33 years old.'" + ] }, - "metadata": {} + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" } ], - "execution_count": 3, - "metadata": {} + "source": [ + "name = \"Newborn Baby\"\n", + "age = 4/12\n", + "template_new = f'Hello, my name is {name}. I am {age:.2f} years old.'\n", + "template_new" + ] }, { "cell_type": "markdown", + "metadata": {}, "source": [ "## Dictionaries (10 min)\n", "\n", "A dictionary is a mapping between key-values pairs." - ], - "metadata": {} + ] }, { "cell_type": "code", + "execution_count": 158, + "metadata": {}, + "outputs": [], "source": [ "house = {'bedrooms': 3, 'bathrooms': 2, 'city': 'Vancouver', 'price': 2499999, 'date_sold': (1,3,2015)}\n", "\n", @@ -2429,197 +2650,231 @@ " 'price' : 699999, \n", " 'date_sold': (27,8,2011)\n", " }" - ], - "outputs": [], - "execution_count": 158, - "metadata": {} + ] }, { "cell_type": "markdown", + "metadata": {}, "source": [ "We can access a specific field of a dictionary with square brackets:" - ], - "metadata": {} + ] }, { "cell_type": "code", - "source": [ - "house['price']" - ], + "execution_count": 159, + "metadata": {}, "outputs": [ { - "output_type": "execute_result", - "execution_count": 159, "data": { - "text/plain": "2499999" + "text/plain": [ + "2499999" + ] }, - "metadata": {} + "execution_count": 159, + "metadata": {}, + "output_type": "execute_result" } ], - "execution_count": 159, - "metadata": {} + "source": [ + "house['price']" + ] }, { "cell_type": "code", - "source": [ - "condo['city']" - ], + "execution_count": 160, + "metadata": {}, "outputs": [ { - "output_type": "execute_result", - "execution_count": 160, "data": { - "text/plain": "'Burnaby'" + "text/plain": [ + "'Burnaby'" + ] }, - "metadata": {} + "execution_count": 160, + "metadata": {}, + "output_type": "execute_result" } ], - "execution_count": 160, - "metadata": {} + "source": [ + "condo['city']" + ] }, { "cell_type": "markdown", + "metadata": {}, "source": [ "We can also edit dictionaries (they are mutable):" - ], - "metadata": {} + ] }, { "cell_type": "code", - "source": [ - "condo['price'] = 5 # price already in the dict\n", - "condo" - ], + "execution_count": 162, + "metadata": {}, "outputs": [ { - "output_type": "execute_result", - "execution_count": 162, "data": { - "text/plain": "{'bedrooms': 2,\n 'bathrooms': 1,\n 'city': 'Burnaby',\n 'price': 5,\n 'date_sold': (27, 8, 2011)}" + "text/plain": [ + "{'bedrooms': 2,\n", + " 'bathrooms': 1,\n", + " 'city': 'Burnaby',\n", + " 'price': 5,\n", + " 'date_sold': (27, 8, 2011)}" + ] }, - "metadata": {} + "execution_count": 162, + "metadata": {}, + "output_type": "execute_result" } ], - "execution_count": 162, - "metadata": {} + "source": [ + "condo['price'] = 5 # price already in the dict\n", + "condo" + ] }, { "cell_type": "code", + "execution_count": 163, + "metadata": {}, + "outputs": [], "source": [ "condo['flooring'] = \"wood\"" - ], - "outputs": [], - "execution_count": 163, - "metadata": {} + ] }, { "cell_type": "code", - "source": [ - "condo" - ], + "execution_count": 164, + "metadata": {}, "outputs": [ { - "output_type": "execute_result", - "execution_count": 164, "data": { - "text/plain": "{'bedrooms': 2,\n 'bathrooms': 1,\n 'city': 'Burnaby',\n 'price': 5,\n 'date_sold': (27, 8, 2011),\n 'flooring': 'wood'}" + "text/plain": [ + "{'bedrooms': 2,\n", + " 'bathrooms': 1,\n", + " 'city': 'Burnaby',\n", + " 'price': 5,\n", + " 'date_sold': (27, 8, 2011),\n", + " 'flooring': 'wood'}" + ] }, - "metadata": {} + "execution_count": 164, + "metadata": {}, + "output_type": "execute_result" } ], - "execution_count": 164, - "metadata": {} + "source": [ + "condo" + ] }, { "cell_type": "markdown", + "metadata": {}, "source": [ "We can delete fields entirely (though I rarely use this):" - ], - "metadata": {} + ] }, { "cell_type": "code", + "execution_count": 165, + "metadata": {}, + "outputs": [], "source": [ "del condo[\"city\"]" - ], - "outputs": [], - "execution_count": 165, - "metadata": {} + ] }, { "cell_type": "code", - "source": [ - "condo" - ], + "execution_count": 166, + "metadata": {}, "outputs": [ { - "output_type": "execute_result", - "execution_count": 166, "data": { - "text/plain": "{'bedrooms': 2,\n 'bathrooms': 1,\n 'price': 5,\n 'date_sold': (27, 8, 2011),\n 'flooring': 'wood'}" + "text/plain": [ + "{'bedrooms': 2,\n", + " 'bathrooms': 1,\n", + " 'price': 5,\n", + " 'date_sold': (27, 8, 2011),\n", + " 'flooring': 'wood'}" + ] }, - "metadata": {} + "execution_count": 166, + "metadata": {}, + "output_type": "execute_result" } ], - "execution_count": 166, - "metadata": {} + "source": [ + "condo" + ] }, { "cell_type": "code", + "execution_count": 167, + "metadata": {}, + "outputs": [], "source": [ "condo[5] = 443345" - ], - "outputs": [], - "execution_count": 167, - "metadata": {} + ] }, { "cell_type": "code", - "source": [ - "condo" - ], + "execution_count": 168, + "metadata": {}, "outputs": [ { - "output_type": "execute_result", - "execution_count": 168, "data": { - "text/plain": "{'bedrooms': 2,\n 'bathrooms': 1,\n 'price': 5,\n 'date_sold': (27, 8, 2011),\n 'flooring': 'wood',\n 5: 443345}" + "text/plain": [ + "{'bedrooms': 2,\n", + " 'bathrooms': 1,\n", + " 'price': 5,\n", + " 'date_sold': (27, 8, 2011),\n", + " 'flooring': 'wood',\n", + " 5: 443345}" + ] }, - "metadata": {} + "execution_count": 168, + "metadata": {}, + "output_type": "execute_result" } ], - "execution_count": 168, - "metadata": {} + "source": [ + "condo" + ] }, { "cell_type": "code", - "source": [ - "condo[(1,2,3)] = 777\n", - "condo" - ], + "execution_count": 169, + "metadata": {}, "outputs": [ { - "output_type": "execute_result", - "execution_count": 169, "data": { - "text/plain": "{'bedrooms': 2,\n 'bathrooms': 1,\n 'price': 5,\n 'date_sold': (27, 8, 2011),\n 'flooring': 'wood',\n 5: 443345,\n (1, 2, 3): 777}" + "text/plain": [ + "{'bedrooms': 2,\n", + " 'bathrooms': 1,\n", + " 'price': 5,\n", + " 'date_sold': (27, 8, 2011),\n", + " 'flooring': 'wood',\n", + " 5: 443345,\n", + " (1, 2, 3): 777}" + ] }, - "metadata": {} + "execution_count": 169, + "metadata": {}, + "output_type": "execute_result" } ], - "execution_count": 169, - "metadata": {} + "source": [ + "condo[(1,2,3)] = 777\n", + "condo" + ] }, { "cell_type": "code", - "source": [ - "condo[\"nothere\"]" - ], + "execution_count": 170, + "metadata": {}, "outputs": [ { - "output_type": "error", "ename": "KeyError", "evalue": "'nothere'", + "output_type": "error", "traceback": [ "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", "\u001b[0;31mKeyError\u001b[0m Traceback (most recent call last)", @@ -2628,121 +2883,129 @@ ] } ], - "execution_count": 170, - "metadata": {} + "source": [ + "condo[\"nothere\"]" + ] }, { "cell_type": "markdown", + "metadata": {}, "source": [ "A sometimes useful trick about default values:" - ], - "metadata": {} + ] }, { "cell_type": "code", - "source": [ - "condo[\"bedrooms\"]" - ], + "execution_count": 171, + "metadata": {}, "outputs": [ { - "output_type": "execute_result", - "execution_count": 171, "data": { - "text/plain": "2" + "text/plain": [ + "2" + ] }, - "metadata": {} + "execution_count": 171, + "metadata": {}, + "output_type": "execute_result" } ], - "execution_count": 171, - "metadata": {} + "source": [ + "condo[\"bedrooms\"]" + ] }, { "cell_type": "markdown", + "metadata": {}, "source": [ "is shorthand for" - ], - "metadata": {} + ] }, { "cell_type": "code", - "source": [ - "condo.get(\"bedrooms\")" - ], + "execution_count": 172, + "metadata": {}, "outputs": [ { - "output_type": "execute_result", - "execution_count": 172, "data": { - "text/plain": "2" + "text/plain": [ + "2" + ] }, - "metadata": {} + "execution_count": 172, + "metadata": {}, + "output_type": "execute_result" } ], - "execution_count": 172, - "metadata": {} + "source": [ + "condo.get(\"bedrooms\")" + ] }, { "cell_type": "markdown", + "metadata": {}, "source": [ "With this syntax you can also use default values:" - ], - "metadata": {} + ] }, { "cell_type": "code", - "source": [ - "condo.get(\"bedrooms\", \"unknown\")" - ], + "execution_count": 173, + "metadata": {}, "outputs": [ { - "output_type": "execute_result", - "execution_count": 173, "data": { - "text/plain": "2" + "text/plain": [ + "2" + ] }, - "metadata": {} + "execution_count": 173, + "metadata": {}, + "output_type": "execute_result" } ], - "execution_count": 173, - "metadata": {} + "source": [ + "condo.get(\"bedrooms\", \"unknown\")" + ] }, { "cell_type": "code", - "source": [ - "condo.get(\"fireplaces\", \"unknown\")" - ], + "execution_count": 174, + "metadata": {}, "outputs": [ { - "output_type": "execute_result", - "execution_count": 174, "data": { - "text/plain": "'unknown'" + "text/plain": [ + "'unknown'" + ] }, - "metadata": {} + "execution_count": 174, + "metadata": {}, + "output_type": "execute_result" } ], - "execution_count": 174, - "metadata": {} + "source": [ + "condo.get(\"fireplaces\", \"unknown\")" + ] }, { "cell_type": "markdown", + "metadata": {}, "source": [ "- A common operation is finding the maximum dictionary key by value.\n", "- There are a few ways to do this, see [this StackOverflow page](https://stackoverflow.com/questions/268272/getting-key-with-maximum-value-in-dictionary).\n", "- One way of doing it:" - ], - "metadata": {} + ] }, { "cell_type": "code", - "source": [ - "max(word_lengths, key=word_lengths.get)" - ], + "execution_count": 175, + "metadata": {}, "outputs": [ { - "output_type": "error", "ename": "NameError", "evalue": "name 'word_lengths' is not defined", + "output_type": "error", "traceback": [ "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", "\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)", @@ -2751,212 +3014,243 @@ ] } ], - "execution_count": 175, - "metadata": {} + "source": [ + "max(word_lengths, key=word_lengths.get)" + ] }, { "cell_type": "markdown", + "metadata": {}, "source": [ "We saw `word_lengths.get` above - it is saying that we should call this function on each key of the dict to decide how to sort." - ], - "metadata": {} + ] }, { "cell_type": "markdown", + "metadata": {}, "source": [ "### Empties" - ], - "metadata": {} + ] }, { "cell_type": "code", - "source": [ - "lst = list() # empty list\n", - "lst" - ], + "execution_count": 176, + "metadata": {}, "outputs": [ { - "output_type": "execute_result", - "execution_count": 176, "data": { - "text/plain": "[]" + "text/plain": [ + "[]" + ] }, - "metadata": {} + "execution_count": 176, + "metadata": {}, + "output_type": "execute_result" } ], - "execution_count": 176, - "metadata": {} + "source": [ + "lst = list() # empty list\n", + "lst" + ] }, { "cell_type": "code", - "source": [ - "lst = [] # empty list\n", - "lst" - ], + "execution_count": 177, + "metadata": {}, "outputs": [ { - "output_type": "execute_result", - "execution_count": 177, "data": { - "text/plain": "[]" + "text/plain": [ + "[]" + ] }, - "metadata": {} + "execution_count": 177, + "metadata": {}, + "output_type": "execute_result" } ], - "execution_count": 177, - "metadata": {} + "source": [ + "lst = [] # empty list\n", + "lst" + ] }, { "cell_type": "code", - "source": [ - "tup = tuple() # empty tuple\n", - "tup" - ], + "execution_count": 178, + "metadata": {}, "outputs": [ { - "output_type": "execute_result", - "execution_count": 178, "data": { - "text/plain": "()" + "text/plain": [ + "()" + ] }, - "metadata": {} + "execution_count": 178, + "metadata": {}, + "output_type": "execute_result" } ], - "execution_count": 178, - "metadata": {} + "source": [ + "tup = tuple() # empty tuple\n", + "tup" + ] }, { "cell_type": "code", - "source": [ - "tup = () # empty tuple\n", - "tup" - ], + "execution_count": 179, + "metadata": {}, "outputs": [ { - "output_type": "execute_result", - "execution_count": 179, "data": { - "text/plain": "()" + "text/plain": [ + "()" + ] }, - "metadata": {} + "execution_count": 179, + "metadata": {}, + "output_type": "execute_result" } ], - "execution_count": 179, - "metadata": {} + "source": [ + "tup = () # empty tuple\n", + "tup" + ] }, { "cell_type": "code", - "source": [ - "dic = dict() # empty dict\n", - "dic" - ], + "execution_count": 180, + "metadata": {}, "outputs": [ { - "output_type": "execute_result", - "execution_count": 180, "data": { - "text/plain": "{}" + "text/plain": [ + "{}" + ] }, - "metadata": {} + "execution_count": 180, + "metadata": {}, + "output_type": "execute_result" } ], - "execution_count": 180, - "metadata": {} + "source": [ + "dic = dict() # empty dict\n", + "dic" + ] }, { "cell_type": "code", - "source": [ - "dic = {} # empty dict\n", - "dic" - ], + "execution_count": 181, + "metadata": {}, "outputs": [ { - "output_type": "execute_result", - "execution_count": 181, "data": { - "text/plain": "{}" + "text/plain": [ + "{}" + ] }, - "metadata": {} + "execution_count": 181, + "metadata": {}, + "output_type": "execute_result" } ], - "execution_count": 181, - "metadata": {} + "source": [ + "dic = {} # empty dict\n", + "dic" + ] }, { "cell_type": "code", - "source": [ - "st = set() # emtpy set\n", - "st" - ], + "execution_count": 182, + "metadata": {}, "outputs": [ { - "output_type": "execute_result", - "execution_count": 182, "data": { - "text/plain": "set()" + "text/plain": [ + "set()" + ] }, - "metadata": {} + "execution_count": 182, + "metadata": {}, + "output_type": "execute_result" } ], - "execution_count": 182, - "metadata": {} + "source": [ + "st = set() # emtpy set\n", + "st" + ] }, { "cell_type": "code", - "source": [ - "st = {} # NOT an empty set!\n", - "type(st)" - ], + "execution_count": 183, + "metadata": {}, "outputs": [ { - "output_type": "execute_result", - "execution_count": 183, "data": { - "text/plain": "dict" + "text/plain": [ + "dict" + ] }, - "metadata": {} + "execution_count": 183, + "metadata": {}, + "output_type": "execute_result" } ], - "execution_count": 183, - "metadata": {} + "source": [ + "st = {} # NOT an empty set!\n", + "type(st)" + ] }, { "cell_type": "code", - "source": [ - "st = {1}\n", - "type(st)" - ], + "execution_count": 184, + "metadata": {}, "outputs": [ { - "output_type": "execute_result", - "execution_count": 184, "data": { - "text/plain": "set" + "text/plain": [ + "set" + ] }, - "metadata": {} + "execution_count": 184, + "metadata": {}, + "output_type": "execute_result" } ], - "execution_count": 184, - "metadata": {} + "source": [ + "st = {1}\n", + "type(st)" + ] }, { "cell_type": "markdown", + "metadata": {}, "source": [ "## Conditionals (10 min)" - ], - "metadata": {} + ] }, { "cell_type": "markdown", + "metadata": {}, "source": [ "- [Conditional statements](https://docs.python.org/3/tutorial/controlflow.html) allow us to write programs where only certain blocks of code are executed depending on the state of the program. \n", "- Let's look at some examples and take note of the keywords, syntax and indentation. \n", "- Check out the [Python documentation](https://docs.python.org/3/tutorial/controlflow.html) and [Think Python (Chapter 5)](http://greenteapress.com/thinkpython/html/thinkpython006.html) for more information about conditional execution." - ], - "metadata": {} + ] }, { "cell_type": "code", + "execution_count": 189, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "What's your name?mike\n", + "That's my name too!\n" + ] + } + ], "source": [ "name = input(\"What's your name?\")\n", "\n", @@ -2968,40 +3262,31 @@ " print(\"Hello {}! That's a cool name.\".format(name))\n", "\n", " print('Nice to meet you!')" - ], - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "What's your name?mike\n", - "That's my name too!\n" - ] - } - ], - "execution_count": 189, - "metadata": {} + ] }, { "cell_type": "code", - "source": [ - "bool(None)" - ], + "execution_count": 190, + "metadata": {}, "outputs": [ { - "output_type": "execute_result", - "execution_count": 190, "data": { - "text/plain": "False" + "text/plain": [ + "False" + ] }, - "metadata": {} + "execution_count": 190, + "metadata": {}, + "output_type": "execute_result" } ], - "execution_count": 190, - "metadata": {} + "source": [ + "bool(None)" + ] }, { "cell_type": "markdown", + "metadata": {}, "source": [ "The main points to notice:\n", "\n", @@ -3013,18 +3298,31 @@ "* `elif` lets us check several conditions\n", "* `else` lets us evaluate a default block if all other conditions are `False`\n", "* the end of the entire `if` statement is where the indentation returns to the same level as the first `if` keyword" - ], - "metadata": {} + ] }, { "cell_type": "markdown", + "metadata": {}, "source": [ "If statements can also be **nested** inside of one another:" - ], - "metadata": {} + ] }, { "cell_type": "code", + "execution_count": 192, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "What's your name?supersam\n", + "Hello supersam! That's a cool name.\n", + "Do you have superpowers?\n", + "Nice to meet you!\n" + ] + } + ], "source": [ "name = input(\"What's your name?\")\n", "\n", @@ -3038,127 +3336,117 @@ " print(\"Do you have superpowers?\")\n", "\n", "print('Nice to meet you!')" - ], - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "What's your name?supersam\n", - "Hello supersam! That's a cool name.\n", - "Do you have superpowers?\n", - "Nice to meet you!\n" - ] - } - ], - "execution_count": 192, - "metadata": {} + ] }, { "cell_type": "markdown", + "metadata": {}, "source": [ "### Inline if/else" - ], - "metadata": {} + ] }, { "cell_type": "code", - "source": [ - "words = [\"the\", \"list\", \"of\", \"words\"]\n", - "\n", - "x = \"long list\" if len(words) > 10 else \"short list\"\n", - "x" - ], - "outputs": [ - { - "output_type": "execute_result", - "execution_count": 193, - "data": { - "text/plain": "'short list'" - }, - "metadata": {} - } - ], "execution_count": 193, "metadata": { "collapsed": false, "jupyter": { "outputs_hidden": false } - } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "'short list'" + ] + }, + "execution_count": 193, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "words = [\"the\", \"list\", \"of\", \"words\"]\n", + "\n", + "x = \"long list\" if len(words) > 10 else \"short list\"\n", + "x" + ] }, { "cell_type": "code", + "execution_count": 194, + "metadata": {}, + "outputs": [], "source": [ "if len(words) > 10:\n", " x = \"long list\"\n", "else:\n", " x = \"short list\"" - ], - "outputs": [], - "execution_count": 194, - "metadata": {} + ] }, { "cell_type": "code", - "source": [ - "x" - ], + "execution_count": 195, + "metadata": {}, "outputs": [ { - "output_type": "execute_result", - "execution_count": 195, "data": { - "text/plain": "'short list'" + "text/plain": [ + "'short list'" + ] }, - "metadata": {} + "execution_count": 195, + "metadata": {}, + "output_type": "execute_result" } ], - "execution_count": 195, - "metadata": {} + "source": [ + "x" + ] }, { "cell_type": "markdown", + "metadata": {}, "source": [ "#### (optional) short-circruiting" - ], - "metadata": {} + ] }, { "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], "source": [ "BLAH # not defined" - ], - "outputs": [], - "execution_count": null, - "metadata": {} + ] }, { "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], "source": [ "True or BLAH" - ], - "outputs": [], - "execution_count": null, - "metadata": {} + ] }, { "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], "source": [ "True and BLAH" - ], - "outputs": [], - "execution_count": null, - "metadata": {} + ] }, { "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], "source": [ "False and BLAH" - ], - "outputs": [], - "execution_count": null, - "metadata": {} + ] } ], "metadata": { @@ -3168,23 +3456,23 @@ "name": "python3" }, "language_info": { - "name": "python", - "version": "3.8.3", - "mimetype": "text/x-python", "codemirror_mode": { "name": "ipython", "version": 3 }, - "pygments_lexer": "ipython3", + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", "nbconvert_exporter": "python", - "file_extension": ".py" + "pygments_lexer": "ipython3", + "version": "3.8.3" }, - "toc-showmarkdowntxt": false, - "toc-showtags": false, "nteract": { "version": "0.27.0" - } + }, + "toc-showmarkdowntxt": false, + "toc-showtags": false }, "nbformat": 4, "nbformat_minor": 4 -} \ No newline at end of file +} diff --git a/notes/setup/install_macOS.md b/notes/setup/install_macOS.md index 202de36..c13ce3a 100644 --- a/notes/setup/install_macOS.md +++ b/notes/setup/install_macOS.md @@ -40,7 +40,7 @@ Once you have completed these installation instructions, make sure to follow the - [UBC Student Email](#ubc-student-email) - [Web browser](#web-browser) - [Zoom](#zoom) -- [GitHub.com account](#github) +- [GitHub.com account](#github-account) - [Microsoft Office](#microsoft-office) - [Visual Studio Code](#visual-studio-code) - [Terminal](#terminal) @@ -74,7 +74,7 @@ You can ensure you have the latest version of Zoom by clicking "Check for Update Please note that if you have been relying on the "web version" of Zoom that works only in a browser, this will not work for this course! Please make sure to download the Zoom desktop client for your operating system to fully participate in the course. ``` -## GitHub.com account +## GitHub account Sign up for a free account at [GitHub.com](https://github.com/) if you don't have one already. Your GitHub username is important, here's how to find your username: @@ -335,7 +335,7 @@ This is a bit tricky, so please make sure you follow these directions carefully. ```{figure} setup_images/repo.png --- -name: PAT +name: PAT_mac --- Personal Access Token settings ``` diff --git a/notes/setup/install_ubuntu.md b/notes/setup/install_ubuntu.md index de0261b..a31b7a7 100644 --- a/notes/setup/install_ubuntu.md +++ b/notes/setup/install_ubuntu.md @@ -30,8 +30,6 @@ These instructions will walk you through installing the required software stack - [UBC Student Email](#ubc-student-email) - [Web browser](#web-browser) -- [LastPass password manager](#lastpass-password-manager) -- [Slack](#slack) - [Visual Studio Code](#visual-studio-code) - [GitHub](#github) - [Git](#git) @@ -259,7 +257,7 @@ or go to the terminal from which you launched JupyterLab and hold `Ctrl` while p R is another programming language that we will be using a lot in the MDS program. We will use R both in Jupyter notebooks and in RStudio. -#### R +### R The version of R available in the default Ubuntu repositories (`3.6.*`) is older than the one we use in MDS (`4.*`). To obtain the latest R `4.*` packages, we need to add a new repository which is maintained directly by the r-project. To do this, first add the key for this repository by typing the following: diff --git a/notes/setup/install_windows.md b/notes/setup/install_windows.md index ece6d4b..d71ea8d 100644 --- a/notes/setup/install_windows.md +++ b/notes/setup/install_windows.md @@ -365,7 +365,7 @@ This is a bit tricky, so please make sure you follow these directions carefully. ```{figure} setup_images/repo.png --- -name: PAT +name: PAT_windows --- Personal Access Token settings ``` diff --git a/notes/setup/setup_images/extract-make-path.png b/notes/setup/setup_images/extract-make-path.png new file mode 100644 index 0000000000000000000000000000000000000000..8b0009783a6609fe2cc07d1700b52497e67f1f53 GIT binary patch literal 14920 zcmeHuXIPWl6Q>0PL5iYaq3RXXis;G!aQKXlEXt;C`A=E@fKn01{0-*%tDj;15 z5Tqm^Laq`(=^;RbAOVsPFeDHH$tHmREzj1{4>baf70HZnz@wT*D5}D{_oe) zS8UUim8ugmWqhRT5AXC(BM|d9-pgEh{hNxx%0xJM%xwh#a&pQqT}wN6b8rI$UI_=& z7m&1yBaUtAy99(K70vGNNH{LwcxFV7bO)H 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