Quarto mod4

_quarto.yml

@@ -79,6 +79,31 @@ website:
           - text: '   12.1. Exercises'
             href: modules/module1/module1-32-practicing_bar_charts.qmd
           - href: modules/module1/module1-34-what_did_we_just_learn.qmd
+      - section: "**M4. Python Without the \"Eek\" (Basic Python)**"
+        contents:
+          - href: modules/module4/module4-00-module_learning_outcomes.qmd
+          - href: modules/module4/module4-01-python_data_types.qmd
+          - text: '   1.1. Exercises'
+            href: modules/module4/module4-02-name_that_data_type.qmd
+          - href: modules/module4/module4-05-python_data_structures:_lists_tuples_and_sets.qmd
+          - text: '   2.1. Exercises'
+            href: modules/module4/module4-06-name_that_data_structure.qmd
+          - href: modules/module4/module4-10-python_data_structures:_dictionaries.qmd
+          - text: '   3.1. Exercises'
+            href: modules/module4/module4-11-dictionary_questions.qmd
+          - href: modules/module4/module4-14-dataframes_series_and_column_dtypes.qmd
+          - text: '   4.1. Exercises'
+            href: modules/module4/module4-15-name_that_type_dtype.qmd
+          - href: modules/module4/module4-18-python_operations.qmd
+          - text: '   5.1. Exercises'
+            href: modules/module4/module4-19-output_or_error_with_operations.qmd
+          - href: modules/module4/module4-21-operations_with_columns.qmd
+          - text: '   6.1. Exercises'
+            href: modules/module4/module4-22-whats_that_output_with_column_operations.qmd
+          - href: modules/module4/module4-23-splitting_a_column.qmd
+          - text: '   7.1. Exercises'
+            href: modules/module4/module4-24-practice_operations_with_dataframe_columns.qmd
+          - href: modules/module4/module4-25-what_did_we_just_learn.qmd
 
 # Since we are declaring options for two formats here (html and revealjs)
 # each qmd file needs to include a yaml block including which format to use for that file.

data/cereal2.csv

@@ -0,0 +1,78 @@
+name,mfr_type,type,calories,protein,fat,sodium,fiber,carbo,sugars,potass,vitamins,shelf,weight,cups,rating
+100% Bran,N-Cold,Cold,70,4,1,130,10,5,6,280,25,3,1,0.33,68.402973
+100% Natural Bran,Q-Cold,Cold,120,3,5,15,2,8,8,135,0,3,1,1,33.983679
+All-Bran,K-Cold,Cold,70,4,1,260,9,7,5,320,25,3,1,0.33,59.425505
+All-Bran with Extra Fiber,K-Cold,Cold,50,4,0,140,14,8,0,330,25,3,1,0.5,93.704912
+Almond Delight,R-Cold,Cold,110,2,2,200,1,14,8,1,25,3,1,0.75,34.384843
+Apple Cinnamon Cheerios,G-Cold,Cold,110,2,2,180,1.5,10.5,10,70,25,1,1,0.75,29.509541
+Apple Jacks,K-Cold,Cold,110,2,0,125,1,11,14,30,25,2,1,1,33.174094
+Basic 4,G-Cold,Cold,130,3,2,210,2,18,8,100,25,3,1.33,0.75,37.038562
+Bran Chex,R-Cold,Cold,90,2,1,200,4,15,6,125,25,1,1,0.67,49.120253
+Bran Flakes,P-Cold,Cold,90,3,0,210,5,13,5,190,25,3,1,0.67,53.313813
+Cap'n'Crunch,Q-Cold,Cold,120,1,2,220,0,12,12,35,25,2,1,0.75,18.042851
+Cheerios,G-Cold,Cold,110,6,2,290,2,17,1,105,25,1,1,1.25,50.764999
+Cinnamon Toast Crunch,G-Cold,Cold,120,1,3,210,0,13,9,45,25,2,1,0.75,19.823573
+Clusters,G-Cold,Cold,110,3,2,140,2,13,7,105,25,3,1,0.5,40.400208
+Cocoa Puffs,G-Cold,Cold,110,1,1,180,0,12,13,55,25,2,1,1,22.736446
+Corn Chex,R-Cold,Cold,110,2,0,280,0,22,3,25,25,1,1,1,41.445019
+Corn Flakes,K-Cold,Cold,100,2,0,290,1,21,2,35,25,1,1,1,45.863324
+Corn Pops,K-Cold,Cold,110,1,0,90,1,13,12,20,25,2,1,1,35.782791
+Count Chocula,G-Cold,Cold,110,1,1,180,0,12,13,65,25,2,1,1,22.396513
+Cracklin' Oat Bran,K-Cold,Cold,110,3,3,140,4,10,7,160,25,3,1,0.5,40.448772
+Cream of Wheat (Quick),N-Hot,Hot,100,3,0,80,1,21,0,1,0,2,1,1,64.533816
+Crispix,K-Cold,Cold,110,2,0,220,1,21,3,30,25,3,1,1,46.895644
+Crispy Wheat & Raisins,G-Cold,Cold,100,2,1,140,2,11,10,120,25,3,1,0.75,36.176196
+Double Chex,R-Cold,Cold,100,2,0,190,1,18,5,80,25,3,1,0.75,44.330856
+Froot Loops,K-Cold,Cold,110,2,1,125,1,11,13,30,25,2,1,1,32.207582
+Frosted Flakes,K-Cold,Cold,110,1,0,200,1,14,11,25,25,1,1,0.75,31.435973
+Frosted Mini-Wheats,K-Cold,Cold,100,3,0,0,3,14,7,100,25,2,1,0.8,58.345141
+Fruit & Fibre Dates; Walnuts; and Oats,P-Cold,Cold,120,3,2,160,5,12,10,200,25,3,1.25,0.67,40.917047
+Fruitful Bran,K-Cold,Cold,120,3,0,240,5,14,12,190,25,3,1.33,0.67,41.015492
+Fruity Pebbles,P-Cold,Cold,110,1,1,135,0,13,12,25,25,2,1,0.75,28.025765
+Golden Crisp,P-Cold,Cold,100,2,0,45,0,11,15,40,25,1,1,0.88,35.252444
+Golden Grahams,G-Cold,Cold,110,1,1,280,0,15,9,45,25,2,1,0.75,23.804043
+Grape Nuts Flakes,P-Cold,Cold,100,3,1,140,3,15,5,85,25,3,1,0.88,52.076897
+Grape-Nuts,P-Cold,Cold,110,3,0,170,3,17,3,90,25,3,1,0.25,53.371007
+Great Grains Pecan,P-Cold,Cold,120,3,3,75,3,13,4,100,25,3,1,0.33,45.811716
+Honey Graham Ohs,Q-Cold,Cold,120,1,2,220,1,12,11,45,25,2,1,1,21.871292
+Honey Nut Cheerios,G-Cold,Cold,110,3,1,250,1.5,11.5,10,90,25,1,1,0.75,31.072217
+Honey-comb,P-Cold,Cold,110,1,0,180,0,14,11,35,25,1,1,1.33,28.742414
+Just Right Crunchy  Nuggets,K-Cold,Cold,110,2,1,170,1,17,6,60,100,3,1,1,36.523683
+Just Right Fruit & Nut,K-Cold,Cold,140,3,1,170,2,20,9,95,100,3,1.3,0.75,36.471512
+Kix,G-Cold,Cold,110,2,1,260,0,21,3,40,25,2,1,1.5,39.241114
+Life,Q-Cold,Cold,100,4,2,150,2,12,6,95,25,2,1,0.67,45.328074
+Lucky Charms,G-Cold,Cold,110,2,1,180,0,12,12,55,25,2,1,1,26.734515
+Maypo,A-Hot,Hot,100,4,1,0,0,16,3,95,25,2,1,1,54.850917
+Muesli Raisins; Dates; & Almonds,R-Cold,Cold,150,4,3,95,3,16,11,170,25,3,1,1,37.136863
+Muesli Raisins; Peaches; & Pecans,R-Cold,Cold,150,4,3,150,3,16,11,170,25,3,1,1,34.139765
+Mueslix Crispy Blend,K-Cold,Cold,160,3,2,150,3,17,13,160,25,3,1.5,0.67,30.313351
+Multi-Grain Cheerios,G-Cold,Cold,100,2,1,220,2,15,6,90,25,1,1,1,40.105965
+Nut&Honey Crunch,K-Cold,Cold,120,2,1,190,0,15,9,40,25,2,1,0.67,29.924285
+Nutri-Grain Almond-Raisin,K-Cold,Cold,140,3,2,220,3,21,7,130,25,3,1.33,0.67,40.69232
+Nutri-grain Wheat,K-Cold,Cold,90,3,0,170,3,18,2,90,25,3,1,1,59.642837
+Oatmeal Raisin Crisp,G-Cold,Cold,130,3,2,170,1.5,13.5,10,120,25,3,1.25,0.5,30.450843
+Post Nat. Raisin Bran,P-Cold,Cold,120,3,1,200,6,11,14,260,25,3,1.33,0.67,37.840594
+Product 19,K-Cold,Cold,100,3,0,320,1,20,3,45,100,3,1,1,41.50354
+Puffed Rice,Q-Cold,Cold,50,1,0,0,0,13,0,15,0,3,0.5,1,60.756112
+Puffed Wheat,Q-Cold,Cold,50,2,0,0,1,10,0,50,0,3,0.5,1,63.005645
+Quaker Oat Squares,Q-Cold,Cold,100,4,1,135,2,14,6,110,25,3,1,0.5,49.511874
+Quaker Oatmeal,Q-Hot,Hot,100,5,2,0,2.7,1,1,110,0,1,1,0.67,50.828392
+Raisin Bran,K-Cold,Cold,120,3,1,210,5,14,12,240,25,2,1.33,0.75,39.259197
+Raisin Nut Bran,G-Cold,Cold,100,3,2,140,2.5,10.5,8,140,25,3,1,0.5,39.7034
+Raisin Squares,K-Cold,Cold,90,2,0,0,2,15,6,110,25,3,1,0.5,55.333142
+Rice Chex,R-Cold,Cold,110,1,0,240,0,23,2,30,25,1,1,1.13,41.998933
+Rice Krispies,K-Cold,Cold,110,2,0,290,0,22,3,35,25,1,1,1,40.560159
+Shredded Wheat,N-Cold,Cold,80,2,0,0,3,16,0,95,0,1,0.83,1,68.235885
+Shredded Wheat 'n'Bran,N-Cold,Cold,90,3,0,0,4,19,0,140,0,1,1,0.67,74.472949
+Shredded Wheat spoon size,N-Cold,Cold,90,3,0,0,3,20,0,120,0,1,1,0.67,72.801787
+Smacks,K-Cold,Cold,110,2,1,70,1,9,15,40,25,2,1,0.75,31.230054
+Special K,K-Cold,Cold,110,6,0,230,1,16,3,55,25,1,1,1,53.131324
+Strawberry Fruit Wheats,N-Cold,Cold,90,2,0,15,3,15,5,90,25,2,1,1,59.363993
+Total Corn Flakes,G-Cold,Cold,110,2,1,200,0,21,3,35,100,3,1,1,38.839746
+Total Raisin Bran,G-Cold,Cold,140,3,1,190,4,15,14,230,100,3,1.5,1,28.592785
+Total Whole Grain,G-Cold,Cold,100,3,1,200,3,16,3,110,100,3,1,1,46.658844
+Triples,G-Cold,Cold,110,2,1,250,0,21,3,60,25,3,1,0.75,39.106174
+Trix,G-Cold,Cold,110,1,1,140,0,13,12,25,25,2,1,1,27.753301
+Wheat Chex,R-Cold,Cold,100,3,1,230,3,17,3,115,25,1,1,0.67,49.787445
+Wheaties,G-Cold,Cold,100,3,1,200,3,17,3,110,25,1,1,1,51.592193
+Wheaties Honey Gold,G-Cold,Cold,110,2,1,200,1,16,8,60,25,1,1,0.75,36.187559

modules/module1/slides/module1_29.qmd

@@ -105,6 +105,7 @@ If we did instead use double square brackets with `pd.value_counts()`, we would
 ## Saving a dataframe
 
 ```{python}
+# | eval: false
 mfr_freq.to_csv('data/mfr_frequency.csv', index=False)
 ```
 

modules/module4/module4-00-module_learning_outcomes.qmd

@@ -0,0 +1,29 @@
+---
+format:
+  html:
+    page-layout: full
+---
+
+# 0. Module Learning Outcomes
+
+::: {.panel-tabset .nav-pills}
+
+## Video
+
+<iframe
+    class="video"
+    src="https://www.youtube.com/embed/2CGO4TWm0O4?start=0&end=35&rel=0" 
+    title="Module 4 Video - Module Learning Outcomes"
+    frameborder="0"
+    allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture"
+    allowfullscreen
+></iframe>
+
+## Slides
+
+<iframe
+    class="slide-deck"
+    src="slides/module4_00.html"
+></iframe>
+
+:::

modules/module4/module4-01-python_data_types.qmd

@@ -0,0 +1,29 @@
+---
+format:
+  html:
+    page-layout: full
+---
+
+# 1. Python Data Types
+
+::: {.panel-tabset .nav-pills}
+
+## Video
+
+<iframe
+    class="video"
+    src="https://www.youtube.com/embed/WCWi1R2CQsY?start=4696&end=5195&rel=0" 
+    title="Module 4 Video - Python Data Types"
+    frameborder="0"
+    allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture"
+    allowfullscreen
+></iframe>
+
+## Slides
+
+<iframe
+    class="slide-deck"
+    src="slides/module4_01.html"
+></iframe>
+
+:::