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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

## What is meta-programming?

The potential of a code to be able to manipulate itself is called __meta-programming__. Sounds mystical, right?

In Pythonic terms, creating _functions_ and _classes_ to manipulate code by modifying the existing code, or generating code is meta-programming.

As far as meta-programming via functions is concerned, we had already covered it when we discussed [decorators](https://www.educative.io/courses/mastering-the-art-of-programming-in-python-3/decorators) in the first half of the course. Python also supports meta-programming for classes by introducing _meta-classes_.


## Type of an object

In Python, everything has a _type_. You can check the type by using the built-in function `type()`. When we create an integer variable, we are creating an object of `int` class. The same goes for any custom class:

# What is meta-programming?

The potential of a code to be able to manipulate itself is called __meta-programming__. Sounds mystical, right?

In Pythonic terms, creating _functions_ and _classes_ to manipulate code by modifying the existing code, or generating code is meta-programming.

As far as meta-programming via functions is concerned, we had already covered it when we discussed [decorators](https://www.educative.io/courses/mastering-the-art-of-programming-in-python-3/decorators) in the first half of the course. Python also supports meta-programming for classes by introducing _meta-classes_.


# Type of an object

In Python, everything has a _type_. You can check the type by using the built-in function `type()`. When we create an integer variable, we are creating an object of `int` class. The same goes for any custom class:

Learn about meta-programming and type() function in this lesson.

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

Introduction to Meta-Programming

What is meta-programming?

Type of an object