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

In the [previous lesson](https://www.educative.io/courses/mastering-the-art-of-programming-in-python-3/iterables-in-python), we pondered over the decency of the `for` loop. Now let's unveil it and see the magic behind it.

# What is an iterator?

In Python, an __iterator__ is an object that implements the `__iter__` and `__next__` _dunder_ methods. 

> ⚙️ __Note__: Dunder methods are methods having two _prefix_ and _suffix_ underscores in the method name. They are also known as _magic_ methods. For example: `__init__`, `__len__`, `__repr__`, etc.

The `__iter__()` function returns an _iterator_ object that goes through each element of the given object. Whereas, the `__next__()` function returns the next item in the sequence.

Objects that support the `__iter__` and `__next__` methods automatically work with loops.

# Iterator from scratch
To create an iterator class, it must implement the `__iter__()` and `__next()` methods. Let's create an iterator that returns numbers.

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

Iterators in Python

What is an iterator?