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Mastering the Art of Programming in Python 3

Learn advanced Python 3 techniques, explore built-in data structures, and delve into functional and object-oriented programming. Discover iterables, generators, and coroutines through projects.

4.5

63 Lessons

4 Projects

12h

Updated 2 weeks ago

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Learning Roadmap

63 Lessons2 Projects8 Quizzes

Introduction

Get familiar with advanced Python 3 features and practical programming techniques for proficiency.

What is This Course About?

Built-in Data Structures

Unpack the core of Python's built-in data structures for clean, efficient code.

List Comprehensions

Tuples

Challenge: Read the Line Segments

Namedtuple: An Extension of Tuple

Stacks and Queues

Challenge: Namedtuples, Stacks and Queues

Sets

Counter: A High-Performance Container

Dictionaries

Challenge: Sets, Counter and Dictionaries

Quiz: Built-in Data Structures

Functional Programming

9 Lessons

Master the steps to leverage first-class functions, decorators, closures, and anonymous functions in Python.

Project I: Data Science with Data Structures

2 Lessons

Apply your skills to process and analyze datasets using Python for real-world data science tasks.

Data science with Data Structures

Project

Project I Review

3 Lessons

Solve problems in data analysis, task automation, and dataset refinement using Python programming.

Object-Oriented Idioms

12 Lessons

See how it works in object references, copying, methods, exceptions, and operator overloading in Python.

Iterables and Generators

11 Lessons

Build on concepts of iterables, iterators, generators, and context managers to enhance Python fluency.

Coroutines

5 Lessons

Learn how to use Python coroutines for asynchronous programming and exception handling.

Project II: Build Your Own Matrix Module

Get started with building a Matrix module in Python using object-oriented programming.

Matrix with Python

Build Your Own Matrix Library

Project

10.

Project II Review

2 Lessons

Work your way through implementing matrix operations with Python, including addition, multiplication, and coroutines.

Build Data-centric Dashboards Using Dash

Project

Premium

11.

Meta-Programming

5 Lessons

Enhance your skills in metaprogramming with dynamic classes, custom metaclasses, and performance tracking.

12.

The End

Take a look at key Python programming topics and further learning paths.

Conclusion

Time Series Analysis and Visualization Using Python and Plotly

Project

Premium

Certificate of Completion

Showcase your accomplishment by sharing your certificate of completion.

Developed by MAANG Engineers

Every Educative lesson is designed by a team of ex-MAANG software engineers and PhD computer science educators, and developed in consultation with developers and data scientists working at Meta, Google, and more. Our mission is to get you hands-on with the necessary skills to stay ahead in a constantly changing industry. No video, no fluff. Just interactive, project-based learning with personalized feedback that adapts to your goals and experience.

ABOUT THIS COURSE

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.

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