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.github/workflows
.github/workflows
 
 
.ipynb_checkpoints
.ipynb_checkpoints
 
 
Datasets
Datasets
 
 
Variable_expressions_statements-R_files/execute-results
Variable_expressions_statements-R_files/execute-results
 
 
_book
_book
 
 
renv
renv
 
 
test_file_files/libs
test_file_files/libs
 
 
.Rprofile
.Rprofile
 
 
.gitignore
.gitignore
 
 
Assignment 1 (control flow) FA2022.ipynb
Assignment 1 (control flow) FA2022.ipynb
 
 
Assignment 1 (control flow).ipynb
Assignment 1 (control flow).ipynb
 
 
Assignment 2 (control flow).ipynb
Assignment 2 (control flow).ipynb
 
 
Assignment 2 (functions) - Copy.ipynb
Assignment 2 (functions) - Copy.ipynb
 
 
Assignment 2 (functions) Fall 2022.ipynb
Assignment 2 (functions) Fall 2022.ipynb
 
 
Assignment 2 (functions).ipynb
Assignment 2 (functions).ipynb
 
 
Assignment 4 (classes).ipynb
Assignment 4 (classes).ipynb
 
 
Assignment B template.ipynb
Assignment B template.ipynb
 
 
Assignment C (data structures).ipynb
Assignment C (data structures).ipynb
 
 
Assignment C.ipynb
Assignment C.ipynb
 
 
Assignment D.ipynb
Assignment D.ipynb
 
 
Chap 2 Reading data.ipynb
Chap 2 Reading data.ipynb
 
 
Control flow incomplete.ipynb
Control flow incomplete.ipynb
 
 
Control flow.ipynb
Control flow.ipynb
 
 
Data aggregation.ipynb
Data aggregation.ipynb
 
 
Data cleaning and preparation.ipynb
Data cleaning and preparation.ipynb
 
 
Data visualization.ipynb
Data visualization.ipynb
 
 
Data wrangling.ipynb
Data wrangling.ipynb
 
 
Datasets.ipynb
Datasets.ipynb
 
 
Github.ipynb
Github.ipynb
 
 
Introduction to Jupyter Notebooks and programming in python.ipynb
Introduction to Jupyter Notebooks and programming in python.ipynb
 
 
Introduction to Python and Jupyter Notebooks-Copy1.ipynb
Introduction to Python and Jupyter Notebooks-Copy1.ipynb
 
 
LICENSE.txt
LICENSE.txt
 
 
NU_Stat_logo.png
NU_Stat_logo.png
 
 
NumPy.ipynb
NumPy.ipynb
 
 
Pandas.ipynb
Pandas.ipynb
 
 
README.md
README.md
 
 
Variable_expressions_statements-R.ipynb
Variable_expressions_statements-R.ipynb
 
 
Variable_expressions_statements-R.qmd
Variable_expressions_statements-R.qmd
 
 
Variable_expressions_statements.ipynb
Variable_expressions_statements.ipynb
 
 
Variable_expressions_statements_with_solutions.ipynb
Variable_expressions_statements_with_solutions.ipynb
 
 
_quarto - Copy.yml
_quarto - Copy.yml
 
 
_quarto-complete_book.yml
_quarto-complete_book.yml
 
 
_quarto.yml
_quarto.yml
 
 
ass6_sol2.R
ass6_sol2.R
 
 
assignment5 - Copy.qmd
assignment5 - Copy.qmd
 
 
assignment5.qmd
assignment5.qmd
 
 
assignment5_old.qmd
assignment5_old.qmd
 
 
assignment5_v2.qmd
assignment5_v2.qmd
 
 
assignment6.qmd
assignment6.qmd
 
 
assignment6_copy.qmd
assignment6_copy.qmd
 
 
assignmentF.qmd
assignmentF.qmd
 
 
assignmentF_v2.qmd
assignmentF_v2.qmd
 
 
classes.ipynb
classes.ipynb
 
 
classes_incomplete.ipynb
classes_incomplete.ipynb
 
 
colorado.png
colorado.png
 
 
control_flow.html
control_flow.html
 
 
control_flow.qmd
control_flow.qmd
 
 
control_flow2.qmd
control_flow2.qmd
 
 
control_flow_noSol.qmd
control_flow_noSol.qmd
 
 
cover.png
cover.png
 
 
data_structures-complete.ipynb
data_structures-complete.ipynb
 
 
data_structures.ipynb
data_structures.ipynb
 
 
data_structures_old.ipynb
data_structures_old.ipynb
 
 
datatypes.png
datatypes.png
 
 
functions.qmd
functions.qmd
 
 
functions2.ipynb
functions2.ipynb
 
 
functions2_incomplete.ipynb
functions2_incomplete.ipynb
 
 
index.qmd
index.qmd
 
 
intro.qmd
intro.qmd
 
 
movie_data.json
movie_data.json
 
 
movie_ratings.csv
movie_ratings.csv
 
 
movies_sample_data.csv
movies_sample_data.csv
 
 
party_edited.csv
party_edited.csv
 
 
quarto_yml_spring2023.txt
quarto_yml_spring2023.txt
 
 
questions_test - Copy.json
questions_test - Copy.json
 
 
recursion.qmd
recursion.qmd
 
 
references.bib
references.bib
 
 
references.qmd
references.qmd
 
 
renv.lock
renv.lock
 
 
requirements.txt
requirements.txt
 
 
reserved_words.jpg
reserved_words.jpg
 
 
robjects.qmd
robjects.qmd
 
 
spotify_data.csv
spotify_data.csv
 
 
spotify_text.txt
spotify_text.txt
 
 
summary.qmd
summary.qmd
 
 
test_file.html
test_file.html
 
 
test_file.ipynb
test_file.ipynb
 
 
test_file.pdf
test_file.pdf
 
 
text.txt
text.txt
 
 

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DataScience_Intro_python

This is a free ebook for the course Data Science 1 with Python (STAT303-1), offered by the Department of Statistics and Data Science at Northwestern University

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Book for Introduction to Programming for Data Science (STAT 201)

nustat.github.io/Intro_to_programming_for_data_sci/

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