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RMOTR Data Science Curriculum
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.gitignore

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sdist/
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var/
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wheels/
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pip-wheel-metadata/
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share/python-wheels/
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*.egg-info/
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.installed.cfg
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*.egg
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# Unit test / coverage reports
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htmlcov/
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.tox/
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.nox/
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.coverage
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.coverage.*
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.cache
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*.log
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local_settings.py
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db.sqlite3
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db.sqlite3-journal
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# Flask stuff:
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instance/
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# Jupyter Notebook
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.ipynb_checkpoints
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# IPython
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profile_default/
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ipython_config.py
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# pyenv
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.python-version
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# pipenv
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# According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
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# However, in case of collaboration, if having platform-specific dependencies or dependencies
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# having no cross-platform support, pipenv may install dependencies that don't work, or not
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# install all needed dependencies.
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#Pipfile.lock
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# celery beat schedule file
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celerybeat-schedule
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# mypy
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.mypy_cache/
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.dmypy.json
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dmypy.json
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# Pyre type checker
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.pyre/

Exercises.ipynb

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{
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"![rmotr](https://user-images.githubusercontent.com/7065401/52071918-bda15380-2562-11e9-828c-7f95297e4a82.png)\n",
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"<hr style=\"margin-bottom: 40px;\">\n",
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"\n",
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"# Exercises\n",
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"\n",
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"This is a quick demonstration of how exercises work on [Notebooks.ai](https://notebooks.ai)."
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"![green-divider](https://user-images.githubusercontent.com/7065401/52071924-c003ad80-2562-11e9-8297-1c6595f8a7ff.png)\n",
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"\n",
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"### Example 1: Solve the add function\n",
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"\n",
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"Complete the code of the function `add`, that receives 2 numbers and should return the sum of them:"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"def add(x, y):\n",
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" pass"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {
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"cell_type": "hint"
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},
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"source": [
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"You can use the `+` operator to sum numbers."
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"cell_type": "solution"
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},
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"outputs": [],
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"source": [
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"def add(x, y):\n",
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" return x + y"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"![purple-divider](https://user-images.githubusercontent.com/7065401/52071927-c1cd7100-2562-11e9-908a-dde91ba14e59.png)"
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.6.8"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 2
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}

README.md

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# Notebooks.ai - Sample Project
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### rmotr.com
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# Data Science with Python Course
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Join Notebooks.ai using this link: https://notebooks.ai/join
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This material is created for our [Data Science with Python Course](https://rmotr.com/data-science-python-course)

Tutorial.ipynb

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cryptos.xlsx

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utils.py

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