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Practical Data Science in Python

Duke IDS Classes

PDS I (IDS 540)
PDS II (IDS 541)
PDS (MIDS) (IDS 720)

Setting Up Your Environment

Setting Up Python and conda
Validate Python Install
Setting Up VS Code
Augmenting Your Command Line
Jupyter Notebooks
VS Code, R, and Jupyter

Command Line

Command Line Basics
Advanced Command Line
Git and Github

Numpy

Vectors
Subsetting Vectors
- Modifying Subsets of Vectors
- Recap
Views and Copies
Matrices
Arrays
Random numbers

Pandas

Welcome to Pandas
Indexes
Views and Copies in Pandas
- Views and Copies in pandas
- The View/Copy Headache in pandas without Copy on Write
Reading Data
- Binary Data
Data Cleaning
Data Manipulations

Data Visualization

Matplotlib Fundamentals
Different Types of Plots
Advanced Matplotlib
Seaborn Objects and GoG
- Seaborn Object Recipes
- From Seaborn to Matplotlib

Big Data & Performance

What is Big Data?
Big Data Strategies
Parquet
Object dtypes
Solving Performance Issues
Parallel Computing
Distributed Computing with dask

Geospatial Analysis

What is GIS?
Installing Geopandas
GIS with Geopandas
Mapping with Geopandas
Merging Spatial Data Sets
Spatial Projections
Managing Projections in Geopandas
Spatial Data

Practical Skills and Concepts

Debugging
- Debugging Python in VS Code
Defensive Programming
Workflow Management
Getting Help Online
Python: Variables vs. Objects
- Python vs. R: Important Differences To Be Aware Of
Backwards Design
Numbers in Computers
Writing Good Jupyter Notebooks
Reviewing Code on Github
conda Environments

Statistical Modelling

Inference vs. Prediction Data Science
Linear Regression in Python
Categorical Variables, Indicator Variables and Linear Regression
Pulling Back the Curtain: Pandas to Numpy with patsy
OPTIONAL: Beyond The Basic Model

Professional Advice

Duke Data Science Electives
So You’re Thinking About a PhD
Getting Involved in Research
Public Interest DS Jobs
How To Buy A Computer
chatGPT and You
Ergonomics and Adaptive Tech

Miscellaneous

Running Python in the VS Code Interactive Window
Understanding and Managing Python Packages
Combining numbers and text into strings: f-strings

Repository
Open issue

.ipynb

Writing Good Jupyter Notebooks

Writing Good Jupyter Notebooks#

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By Kyle Bradbury & Nick Eubank

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