• Jupyter Notebooks in VS Code
• Python Virtual Environments: A Primer
• The Python Tutorial
• Single and Double Underscores in Python Names. Throwaway variable _
• Iterators and Iterables in Python: Run Efficient Iterations
• The Walrus Operator: Python's Assignment Expressions
• How do I check if a variable exists? Assignment to None
• Short circuit evaluation
• LEGB rule for Python Scope
• A Python Quick Reference
• Python One-Liners: Syntax and Simplicity at Its Best
• Comprehensive Python Cheatsheet
• Python cheatsheet
• Ultimate Python Cheat Sheet: Practical Python For Everyday Tasks
• Async IO in Python: A Complete Walkthrough
• Context Managers and Python's with Statement
• Getters and Setters: Manage Attributes in Python - Great intro to Properties
• Primer on Python Decorators. Decorators may serve as great debugging tools. Also see The Python Decorator Handbook.
• How to Use Python Lambda Functions. The Pythonic way recommends replacing map(), filter() and functools.reduce() with generator expressions.
• Understanding Closures in Python: A Guide with Real-World Examples: Objects are data with methods attached, closures are functions with data attached.
• Higher Order Functions and Decorators and Closures
• Closured lexical environments are stored in the property __closure__ of a function
• Common Gotchas
• Raymond Hettinger's Beautiful Idiomatic Python
  • Video
  • Slides
  • Why does python use 'else' after for and while loops?
• Data Classes in Python 3.7+ (Guide)
• Python's .call() Method: Creating Callable Instances and Using call method to invoke class instance as a function
• The Python Standard Library
• The Python Language Reference
• Glossary
• Python Frequently Asked Questions
• PEP 8 – Style Guide for Python Code
• The Zen of Python : $ python3 -m this
• Python's assert: Debug and Test Your Code Like a Pro
• Python's unittest: Writing Unit Tests for Your Code
• Packaging Python Projects
• Machine Learning for Physicists
• Every dunder method in Python
• Built-in Functions
• Functional Programming in Python: When and How to Use It
• Monkey Patching
• Duck Typing in Python: Writing Flexible and Decoupled Code
• What Is the Python Global Interpreter Lock (GIL)?
• Memory Management in Python
• Great article on dynamic/heap memory vs local/stack memory: Note: allocate()/deallocate() in Fortran allocates/deallocates heap. Heap allocation actually requests more memory from OS, as and when needed. Stack is memory already allocated by OS when program is being launched/invoked. Python and Java allocates on its own, automatically, and deallocates using garbage collection. Fortran does similar with automatic variables. C requires explicit memory management, e.g. with malloc() and free().
• Python Wheels | Conda vs Pip
• TBA:
  • numpy
    • NumPy Tutorial: Your First Steps Into Data Science in Python
    • NumPy user guide
    • NumPy routines
  • matplotlib
    • Python Plotting With Matplotlib (Guide)
  • scikit-learn
  • keras /tensorflow / jax / pytorch / transformers
  • pandas
  • scipy