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Overview

Cleaning & Reshaping Data

1. Date & String Processing
2. Untidy & Relational Data

Writing & Debugging Code

3. Best Practices for Python Projects
4. Squashing Bugs with Python’s Debugging Tools

Data Visualization & Analysis

5. Next-level Data Visualization

Thinking in Python

6. Iterator & Generator Crash Course

Retired Workshops

Slicing & Dicing Data with pandas
Making Python Projects & Environments Reproducible

Back Matter

References
Acknowledgements

Repository
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Best Practices for Python Projects

3. Best Practices for Python Projects#

Important

This chapter is planned for a future iteration of the workshop.

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4. Squashing Bugs with Python’s Debugging Tools

By Nick Ulle

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