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.

python3.tar.gz

python3

python3-copy

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

Every language evolves by trying to cope up with the limitations hindering the way to efficiency. With every new stable version, some functionalities are deleted and added to ensure flexibility. 

In this lesson, you will come across a _container_ sequence that is still a part of Python 3: `Counter` (New in version $2.7$). Let's cover it in detail.

## `Counter` datatype

Every language evolves by trying to cope up with the limitations hindering the way to efficiency. With every new stable version, some functionalities are deleted and added to ensure flexibility. 

In this lesson, you will come across a _container_ sequence that is still a part of Python 3: `Counter` (New in version $2.7$). Let's cover it in detail.

# `Counter` datatype

Get introduced to the Counter data-type and its functionalities.

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

Counter: A High-Performance Container

`Counter` datatype