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Learn Python 3: Comprehensive Programming Guide

Master Python 3.11+ from basics to advanced architecture. Learn OOP, concurrency, and tooling to build scalable, professional-grade applications.

238 Lessons

3 Projects

16h

Updated yesterday

Join 2.9 million developers at

LEARNING OBJECTIVES

A deep understanding of modern Python 3.11+ syntax and the underlying object model
The ability to structure scalable applications using object-oriented principles and modular design
Proficiency in functional programming tools, including comprehensions, generators, and decorators
Hands-on experience with file I/O, API interactions, and database management
A working knowledge of concurrency, threading, and asynchronous programming patterns
The skills to write robust, testable code using exception handling and unit testing frameworks
Familiarity with packaging, versioning, and distributing professional Python projects

Learning Roadmap

238 Lessons3 Projects22 Quizzes

Get Started

Master Python 3.11+ to build robust applications and enhance programming skills.

Introduction

Orientation and First Code

Explore Python’s enduring relevance, programming basics, and the importance of documentation.

Your First Program

Comments and Documentation

Quiz: Orientation and First Code

Variables, Types, and Expressions

13 Lessons

Master variables, types, strings, operators, and user input for effective Python programming.

Flow Control

12 Lessons

Master conditional logic and loop structures in Python for dynamic programming.

Data Collections

13 Lessons

Explore Python's data structures: lists, tuples, dictionaries, and sets for effective data management.

Functions and Scope

13 Lessons

Master function creation, variable scope, and closures for effective Python programming.

Comprehensions and Functional Tools

13 Lessons

Master efficient data processing in Python using comprehensions and functional tools.

The "QuickCart" Inventory Manager

Project

The Python Object Model

12 Lessons

Explore Python's object model, focusing on identity, mutability, and behavior for effective coding.

Organizing Code with Modules

10 Lessons

Master code organization, module creation, and utilize Python's standard library effectively.

10.

Creating and Using Classes

13 Lessons

Explore class design in Python, focusing on encapsulation, attributes, and methods for effective object management.

11.

Object Relationships and Data Model

12 Lessons

Explore software design principles, focusing on composition, inheritance, and data management in Python.

12.

Error Handling and Debugging

13 Lessons

Master error handling and debugging in Python through exceptions, logging, and custom solutions.

13.

Testing and Code Quality

11 Lessons

Master automated testing techniques in Python, enhancing code reliability and quality.

14.

Working with Files

12 Lessons

Master file handling in Python, covering text, binary, and JSON operations.

15.

Iterators and Generators

11 Lessons

Master efficient data processing in Python using iterators and generators.

BiblioTech: The Robust Library Manager

Project

16.

Working with Data and APIs

11 Lessons

Master web communication, HTTP requests, and SQLite for resilient data management.

17.

Managing Packages and Environments

8 Lessons

Master package organization, configuration management, and virtual environments in Python.

18.

Parallel and Concurrent Programming

11 Lessons

Explore concurrency and parallelism in Python for efficient task management and performance.

19.

Asynchronous Programming

12 Lessons

Explore asynchronous programming in Python, focusing on efficient I/O operations and task management.

20.

Advanced Functions and Decorators

11 Lessons

Master higher-order functions, decorators, and context managers for efficient Python programming.

21.

Introspection and Type-Level Metaprogramming

11 Lessons

Explore Python's dynamic capabilities, including introspection, metaclasses, and secure execution.

22.

Building and Distributing Applications

11 Lessons

Master CLI tools, project structuring, packaging, versioning, and Python's extensive libraries.

FactStorm CLI

Project

23.

Wrapping Up

Get an overview of what have been learned, and what's next you can do.

Conclusion

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 course is your roadmap to mastering Python 3.11+ concepts, progressing from basic scripts to building more complex applications. You’ll cover material that goes beyond syntax to emphasize practical development concepts, including clarity, efficiency, and software architecture. You will start with foundations, including variables, flow control, and collections, before diving into functional programming and Python’s object-oriented system. You will learn to structure maintainable code using modules and classes. As the course progresses, you will work with core development skills such as error handling, unit testing, and file management. The course concludes with advanced topics, such as concurrency, asynchronous programming, and metaprogramming. By the end, you will be able to write clean, idiomatic code and design efficient Python applications.

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