python.tar.gz

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SPA_Job

When you run code in Python, there’s a lot happening under the hood. This course sheds light on some of the interesting parts of Python you might be unaware of. 

As you progress through it, you’ll learn some tools and tricks that every Python programmer should know to avoid common mistakes. You can think of the course as a “Python hacks” handbook. 

Python basics are a prerequisite, but this is a beginner-level course. Each lesson is independent and after the first chapter, you can pick up from any lesson and you’ll be able to follow along comfortably.

Python FTW: Under the Hood

- We can’t use the “assignment expression” operator (a.k.a the walrus operator) at the top level without parenthesizing. Iterable unpacking isn’t supported either, so be careful when you see something like `(a := 6, 9)`.
- String interning and constant folding are some of the optimizations implemented for strings to improve efficiency.
- Integers from `-5` to `256` are pre-allocated in Python memory for faster access. Similar optimizations apply to other **immutable** objects, like empty tuples.
- The interactive interpreters (like IPython) have certain differences in design (like more global variables, different compile units, etc.), which can lead to different execution behavior compared to the compiled Python files.
- `0 <= x <= 100` is a more Pythonic way to write `0 <= x and x <= 100`. In general, `a op1 b op2 c op3 d..` is equivalent to `a op1 b and b op2 c and c op2 d ...` where `a`, `b`, `c` and `d` are any objects and `op1`, `op2`, `op3` are some operators.


Introduction

Slippery Slopes

Strain Your Brain!

Appearances Are Deceptive!

The Hidden Treasures!

Miscellaneous

Contributions & Acknowledgements

Quick Recap