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

# Overview
In this course, we covered the following topics:

+ _Data structures_
+ _Functional programming_
+ _Class and its objects_
+ _Operator overloading_
+ _Iterators_
+ _Generators_
+ _Coroutines_
+ _Metaprogramming_

# Credits

There are _two_ major sources of inspiration behind this course:
+ [Fluent Python](https://www.oreilly.com/library/view/fluent-python/9781491946237/) by __Luciano Ramalho__
+ [Python Tricks: A Buffet of Awesome Python Features](https://www.amazon.in/Python-Tricks-Buffet-Awesome-Features-ebook/dp/B0785Q7GSY) by __Dan Bader__


# What's next?

Here's a list of a few courses that you can explore further, depending on your interest in gaining expertise in Python:
+ Data science:
  + [Predictive Data Analysis with Python](https://www.educative.io/courses/predictive-data-analysis-with-python)
  + [Python Data Analysis and Visualization
](https://www.educative.io/courses/python-data-analysis-and-visualization)
  + [Data Analysis & Processing with Pandas](https://www.educative.io/courses/data-analysis-processing-with-pandas)
+ Development and engineering:
  + [Flask: Develop Web Applications in Python](https://www.educative.io/courses/flask-develop-web-applications-in-python)
  + [Python for Scientists and Engineers
](https://www.educative.io/courses/python-for-scientists-and-engineers)
  + [Python Regular Expressions with Data Scraping Projects](https://www.educative.io/courses/python-regular-expressions-with-data-scraping-projects)
+ Coding interviews and algorithms:
  + [Data Structures and Algorithms in Python
](https://www.educative.io/courses/ds-and-algorithms-in-python)
  + [Recursion for Coding Interviews in Python](https://www.educative.io/courses/recursion-for-coding-interviews-in-python)
  + [Algorithms for Coding Interviews in Python](https://www.educative.io/courses/algorithms-coding-interviews-python)

But that's not it. There's much more you can explore at [Educative](https://www.educative.io/explore).

___
We at __Educative__ hope that this course was a good learning experience for you. Thank you for following it!

Your feedback, comments, concerns, and questions are always welcome. Drop us an email or a comment on the community forum.

We are looking forward to hearing from you! 🙂

Concluding the course with an overview and credits.

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

Conclusion

Overview

Credits