Topic 05

Python Essentials

Lecture Material

• Python Basics: html, notebook

  • Practice Activity - Python Basics: html, notebook

• Loops & Functions: html, notebook

  • Practice Activity - Loops & Functions: html, notebook

• Unit Tests & Classes: html, notebook

  • Practice Activity - Unit Tests & Classes: html, notebook

• Style Guides, Scripts, Imports: html, notebook

  • Additional Script File - Style Guides, Scripts, Imports: wallet.py

  • Data Folder - Style Guides, Scripts, Imports: data.zip

• Introduction to Numpy: html, notebook

• Numpy: html, notebook

  • Practice Activity - Numpy: html, notebook

• Pandas: html, notebook

• Data Wrangling: html, notebook

  • Practice Activity - Data Wrangling: html, notebook

• Advanced Data Wrangling: html, notebook

  • Practice Activity - Advanced Data Wrangling: html, notebook

Problem Set

• In group (up to 3 members) you must submit GradeScope Questions about Array programming with NumPy paper (Check the Course Canvas page) and the Advanced Data Wrangling Practice Activity (link and notebook above).

Recommended Readings

• Python Programming for Data Science

• Python Data Science Handbook (PDSH)

Additional Resources

• Python documentation

• Think Python: How to Think Like a Computer Scientist

• A Whirlwind Tour of Python (WTP)

• Python for Data Analysis

• Array programming with NumPy paper

• Pandas Tutor

• Learning Data Science

• Kaggle Learn Python Tutorials

• Research Software Engineering with Python

• Introduction to Cultural Analytics & Python

• Python for Data Science

• Coding for Economists