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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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

Chained operations can be tricky sometimes. Let’s check them out!

print((False == False) in [False]) # makes sense

print(False == (False in [False])) # makes sense

print(False == False in [False]) # now what?


print(True is False == False)

print(False is False is False)


print(1 > 0 < 1)

print((1 > 0) < 1)

print(1 > (0 < 1))

# Explanation

As per the [documentation](https://docs.python.org/2/reference/expressions.html#comparisons)

> Formally, if a, b, c, ..., y, z are expressions and op1, op2, ..., opN are comparison operators, then a op1 b op2 c ... y opN z is equivalent to a op1 b and b op2 c and ... y opN z, except that each expression is evaluated at most once.

Let’s say the chained expression is:

```py
3 < (2+3) <  8 
```
Then the middle expression, i.e. `2+3`, is evaluated only once, instead of getting evaluated twice (as the statement expands to `3 < (2+3)` and `(2+3) < 8)`.



Introduction

Slippery Slopes

Strain Your Brain!

Appearances Are Deceptive!

The Hidden Treasures!

Miscellaneous

Contributions & Acknowledgements

Be Careful With Chained Operations

Explanation