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python3

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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

Python is not only a programming language anymore. Data scientists use Python as a tool for analyzing and visualizing data to extract the information that they require. Python has many advanced libraries for this purpose that make tasks relatively efficient and straightforward. 

>  __Note:__ We have many courses on our platform that teach data science with Python. Later on, if you wish to begin learning data science with Python, [Data Science for Non-Programmers](https://www.educative.io/courses/data-science-for-non-programmers) is one of the goto courses on Educative.

Get introduced to the resources required for our first project.

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

Reading a Dataset with Data Structures