Delve into Python's hidden mechanisms and discover essential tools and tricks to avoid common mistakes. Gain insights into Python hacks and improve your programming skills effortlessly.

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python2.3

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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

<h2>1.</h2>

Since we are talking operators, there's also the `@` operator for matrix multiplication (don't worry, this time it's for real).

import numpy as np
print(np.array([2, 2, 2]) @ np.array([7, 8, 8]))

<h3>Explanation</h3>

The `@` operator was added in Python 3.5, keeping the scientific community in mind. Any object can overload the `__matmul__` magic method to define behavior for this operator.

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<h2>2.</h2>

From Python 3.8 onwards, you can use a typical f-string syntax like `f'{some_var=}` for quick debugging. 

> ⚠️ The following code is meant for **Python 3.8** specifically.

some_string = "ftwpython"
print(f'{some_string=}')


<h2>3. </h2>

Python uses $2$ bytes for local variable storage in functions. In theory, this means that only $65536$ variables can be defined in a function. However, Python has a handy solution built in that can be used to store more than $2^{16}$ variable names. The following code demonstrates what happens in the stack when more than $65536$ local variables are defined (warning: this code prints around $2^{18}$ lines of text, so be prepared!):

> The execution time is limited to 3 seconds.   

Introduction

Slippery Slopes

Strain Your Brain!

Appearances Are Deceptive!

The Hidden Treasures!

Miscellaneous

Contributions & Acknowledgements

More of These

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Explanation

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