This will be a beginning Python course that will use basketball statistics to learn Python. There will likely be 3 (maybe more) courses in total.

• Absolute Beginner (8-12 hours)

  • Beginning Python for Basketball
  • Beginning SQL for Basketball
  • Resources for next steps

• Hands On! Using Python - Becoming an Intermediate Basketball Data Scientist

  • Building Models in Notebooks
  • Go through many libraries
    • Pandas
    • Numpy
    • Sklearn
    • Seaborn
    • Matplotlib
  • Regression
  • Classifiction
  • Clustering

• Hands on Data Science - Deploying Basketball Models using Python, Sklearn, Docker, and Flask

• Interactive Dashboards and

1. Python Fundamentals
2. Python Standard Library
3. Pandas
4. Numpy
5. Seaborn
6. Matplotlib
7. Dash (or Panel) Dashboard (Live Updating)
8. Interact Plots with Plotly
9. Docker
10. Flask RESTful APIs
11. Sklearn
12. Regression Modeling
13. Classification Modeling
14. Clustering
15. Keras & Tensorflow
16. Neural Networks
    • Computer Vision
    • NLP
17. SQL Databases
    • ANSI-2014 SQL
    • SQLite
    • Postgres
    • (Optional for Windows users) SQL Server
18. ElasticSearch
19. Linux (Bash, Zsh)
20. AWS
21. PyTest
22. CI/CD
23. Vagrant (VMs)

1. Number Operations
2. String Operations
3. Bool Operations
   • True, False, Bool, and, or, not
4. Complex, Bytes will be left to learner to pursue on their own

1. Lists
2. Dictionaries
3. Sets
4. Tuples
5. Collections library

• List Comprehensions
• Dictionary Comprehensions

• range
• yield
• next
• Other noteworthy Generator objects in the Python space

• Assignment vs Comparison
• ==, !=, >, <, <>, ><, >=, <=

• format, %, and f-strings

Further Resources

• PyFormat
• Python String Formatting Docs
• Python 3's f-Strings: An Improved String Formatting Syntax (Guide)

• re

Want More Python? Recommended Books:

• Python Standard Library
• Python Cookbook (Beazley)
• Fluent Python (Ramalho)
• Effective Python (1st and 2nd ed; Brett Slatkin)

Want more Pandas? Recommended Books:

Want more Machine Learning? Recommended Books:

• Geron
• Grus
• Raschka