Become A Python Backend Engineer

All-in-one Python course for learning backend engineering with Python. This comprehensive course is designed for Python developers seeking proficiency in Python.

If you only want the resource, please peacefully unsubscribe when you recieve it
Agoro, Adegbenga. B

I strongly recommend exploring Mastering Backend as a resource for your personal and/or professional growth.

Agoro, Adegbenga. B . CTO, Crenet

Daniel Tinivella

The practical examples and hands-on exercises were particularly beneficial. They not only reinforced the theoretical concepts but also allowed me to apply them in real-world scenarios. The inclusion of best practices and common pitfalls added a practical dimension to the learning process.

Daniel Tinivella . Software Engineer, Globant

Eshan Shafeeq

The course is an excellent resource for beginners. Your explanations of the basics are clear, making it easy for newcomers to grasp. I particularly enjoyed the task management application; it's a practical example that helps solidify the concepts.

Eshan Shafeeq . Blockchain & Web3 Engineer, Cake Defi

1

Python Essential Concepts

This is a summarized module about Python syntax and concepts such as variables, data types, functions, Loops, lists, Tuples, control flow in Python, error handling, etc.

2

Advanced Python Concepts

This is a summarized module about Python's advanced concepts, such as OOP, Modules, Lambdas, Data Structures, Algorithms, Regex, Iterators, Decorators, etc.

3

Building Backend Systems

This module introduces you to building scalable and production-ready backend applications with Python. You will learn frameworks in Python, such as FastAPI, Django, and database ORM.

4

Logging and Caching

This module will teach you how to implement Logging and Caching in Python and Redis or Memcached for caching, respectively.

5

Building REST APIs

Learn how to build scalable and performant REST APIs in Python. Implement proper API design techniques and build production-ready backend systems.

6

GraphQL with Python

Learn how to use GraphQL with Python. Build GraphQL servers using Python. Build complex and scalable GraphQL servers in Python.

7

Testing In Python

This module is focused on Testing Python codes. You will learn to write Unit, Integration, and end-to-end testing in Python.

8

Dockerizing Python Applications

Learn how to containerize Python applications with Docker. Learn how Senior Python engineers dockerize their Python projects using Docker.

9

Deploying Python Applications

Learn how to deploy your Python applications to servers such as AWS, Digital Ocean, Azure, GCP, Heroku, etc.

10

Build Python Projects

Build over 10+ projects while learning Python. Build Your Own Wallet Engine in Python.

Agoro, Adegbenga. B

I strongly recommend exploring Mastering Backend as a resource for your personal and/or professional growth.

Agoro, Adegbenga. B . CTO, Crenet

Daniel Tinivella

The practical examples and hands-on exercises were particularly beneficial. They not only reinforced the theoretical concepts but also allowed me to apply them in real-world scenarios. The inclusion of best practices and common pitfalls added a practical dimension to the learning process.

Daniel Tinivella . Software Engineer, Globant

Eshan Shafeeq

The course is an excellent resource for beginners. Your explanations of the basics are clear, making it easy for newcomers to grasp. I particularly enjoyed the task management application; it's a practical example that helps solidify the concepts.

Eshan Shafeeq . Blockchain & Web3 Engineer, Cake Defi

Learn Essentials Python Concepts

Learn Essentials Python Concepts

Learn the essentials of Python, such as variables, data types, functions, control flow in Python, error handling, etc.

  • Learn Python Basics

  • Data Types

  • Functions

  • Lists, Tuples, Sets, Dictionaries

  • Error Handling

Learn Advanced Python Concepts

Learn advanced concepts, such as OOP, Modules, Lambdas, Data Structures, Algorithms, Regex, Iterators, Decorators, etc.

  • OOP → Classes, Inheritance, Methods, etc.

  • Modules

  • Package Managers

  • Iterators, Decorators, and Generators

  • Lambdas

  • Regex

  • Data Structures → Learn structures such as Arrays, Linked Lists, Heaps, Stacks, and Queues.

  • Algorithms → Learn algorithms such as Binary Search Trees, Recursion, and Sorting Algorithms.

Learn Advanced Python Concepts
Building Backend Systems with Node.js

Building Backend Systems with Node.js

This module will expose you to building scale backend systems with Node.js. You will learn frameworks in Python, such as FastAPI, Django, and database ORM.

  • Django

  • Flask

  • FastAPI

  • Database & ORMs in Python

  • Implement Logging in Python

  • Implementing Caching in Python

  • Build Advanced REST APIs Python

Learn Advanced Backend Engineering Concepts

Learn advanced backend engineering concepts in Python to help you build enterprise and production-ready Python Backend Systems.

  • Testing In Python: This is a summarized module about Testing Python codes. You will learn to write Unit, Integration, and end-to-end testing in Python.

  • GraphQL with Python: Learn how to use GraphQL with Python. Build GraphQL servers using Python. Build complex and scalable GraphQL servers in Python.

  • Containerizing Python Applications: Learn how to containerize Python applications with Docker. Learn how senior Python engineers dockerize their Python projects using Docker.

  • Deploying Python Applications: Learn how to deploy your Python applications to servers such as AWS, Digital Ocean, Azure, GCP, Heroku, etc.

  • Build Python Projects: Build over 10+ projects while learning Python. Build Your Wallet Engine in Python.

Learn Advanced Backend Engineering Concepts
Become A Python Backend Engineer

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