Gain insights into advanced Python 3, learn the Pythonic Way, explore data structures, functional and object-oriented paradigms, and master iterables, generators, and coroutines through practical projects.

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This highly interactive and advanced course will give you insight into the most common Python tricks and tips. This course is for practicing Python programmers who are aiming for proficiency in Python 3. If you want to switch from Python 2 to Python 3, this is your go-to course. 

This course will help you learn the Pythonic Way of writing code and leveraging advanced robust features to become more proficient than the average developer. You’ll start by covering Python’s built-in data structures, and then you’ll move on to different programming paradigms like functional programming and object-oriented programming. 

In the latter half of the course, you’ll focus on iterables, generators, and coroutines. You’ll also have the opportunity to work on two projects to help strengthen what you learn. In all, this course is perfect for anyone who wants to become a confident and competent Pythonista by picking up the idioms and practical tips.

Mastering the Art of Programming in Python 3

# Problem statement
In this challenge, you need to square the factorials of the first `n` numbers. Implement the function `square_factorial` that takes `n` as a parameter. Write a _one-line_ implementation of this function using an __anonymous function__. To facilitate single-line implementation, you have to define another function `factorial` that computes the factorial of an integer. 

>💡 __Note__: There's a hint for you, check it out.

## Input
An integer
## Output
A list
## Sample input
```python3
5
```
## Sample output
```python3
[1, 1, 4, 36, 576]
```
Try to implement the function below. Do not forget to use the concepts taught in the previous lessons. Feel free to view the solution, after giving it a few shots. Good luck!

Introduction

Built-in Data Structures

Functional Programming

Project I: Data Science with Data Structures

Data science with Data Structures

Project I Review

Object-Oriented Idioms

Iterables and Generators

Coroutines

Project II: Build Your Own Matrix Module

Build Your Own Matrix Library

Project II Review

Meta-Programming

The End

Challenge: Square the Factorials

Problem statement