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The Best Online Courses for Learning Python Web Development in 2024

We spent several hundred hours meticulously testing and reviewing several dozen Python courses from various vendors around the web. Here are the absolute best online Python courses available right now.

Updated: January 5, 2024

Our Top Pick

Full Stack Developer Nanodegree

Full Stack Developer Nanodegree


By Various

πŸ’° $$$$$ ($249 / month) πŸ•— 4 months at 10-15 hours per week
πŸ‘©β€πŸ’» Videos| Readings| Quizzes| Exercises| Solo Projects

Bottom Line

The best self-paced Python course money can buy. It's expensive, but well worth the cost for the quality of instruction and the quality of feedback on your work. The emphasis on practice exercises and real-world hands-on projects are standout features.

This Course Is Great For

  • Hands-on Learning
  • Frequent Practice
  • Graded Portfolio Projects

Completing this path will teach you full stack development using Python, Flask, and PostgreSQL for the backend, and HTML, CSS, and vanilla JavaScript for the frontend.

The content consists of videos, readings, quizzes, hands-on exercises, and projects. You'll spend a lot of time practicing and developing skills, both by coding in the browser and on your own system.

Udacity's active learning environment is stellar.

Udacity's projects are the standout feature. They're based on real world situations, and are designed to test your mastery of each course's major skills. You'll build four portfolio-ready projects in the course, each one increasing in complexity, moving from building a front end to deploying an app to the cloud. Each project is graded by humans, who provide personalized feedback.

Another cool feature is Udacity’s classroom app has integrated ChatGPT, so you can get instant help on each course. Additionally, you can get 24/7 technical support from a network of mentors.

Runner Up

CS50 Web Development with Python and JavaScript

CS50 Web Development with Python and JavaScript


By Brian Yu

πŸ’° free (certificate for $199) πŸ•— 30-40 hours
πŸ‘©β€πŸ’» Videos| Projects

Bottom Line

The gold standard for online courses provides the best way for programmers to learn basic Python and how to build web apps with Django and PostgreSQL.

This Course Is Great For

  • Novice Programmers
  • Lectures & Homework

This course is quite rigorous, just what you'd expect from Harvard. Each module of the course contains one video lecture supplemented by detailed lecture notes and a project. You'll need the lecture notes as reference when completing the projects. But you’ll have to use supplemental resources from around the web as well, particularly the Python and Django documentation. The course is largely about teaching you how to learn to code with Python, and a major component of that is hunting for information around the web.

We absolutely love the rigor of the projects. The projects are mostly building full-featured clones of well-known websites.

The Python project is Design a front-end for Google Search, Google Image Search, and Google Advanced Search. The Django project is to Design a Wikipedia-like online encyclopedia, containing an entry page, index, search functionality, CRUD authoring, a random page, and a markdown converter. The SQL, Models, and Migrations project is Design an eBay-like e-commerce auction site that will allow users to post auction listings, place bids on listings, comment on those listings, and add listings to a β€œwatchlist.”

Each project assignment includes specs that your deliverable needs to meet in order to receive credit. If submitting your project for credit, you’ll also need to record a 5-minute screencast demonstrating the functionality of your project.

CS50 also includes one of the most robust and active communities around an online course. There are tens of thousands of active members on the Discord, and if you have a question, you typically don't have to wait long to get a solid answer.

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How We Picked and Tested

Course Selection

Our initial research involved spending hours reading hundreds of reviews of various course options, and perusing forums for recommendations and user preferences. From this research, we narrowed down to a list of 12 highly-rated candidate courses.

Evaluation Criteria

We graded the candidate courses against the following criteria:

  1. Outcomes: The course needs to cover the essentials for someone to start working with Python in a professional capacity or on a professional-grade project. That means covering the right topics and not going beyond the scope of the course objectives.
  2. Learning Features: Real skill development happens with fingers on keys, not from passively watching. We looked for courses with more than just polished videos; exercises and projects were essential.
  3. Real World Application: A great course teaches you enough to work on a production application. We looked for examples and best practices from professional experience, not just basic examples of how something works on a toy application.
  4. Support and Community: Learning is better together! We looked for courses with thriving communities and rapid, helpful support for learners.
  5. Value for Money: Many of our recommendations are free courses. But where there's a cost, it should be justified by the quality of the experience and the outcomes.

From this thorough research and testing, we're confident this is the single best guide to Python courses available.

Another Great Option

Python, Flask, and SQLAlchemy

Python, Flask, and SQLAlchemy

App Academy Open

By Various Authors

πŸ’° Free πŸ•— 40 hours
πŸ‘©β€πŸ’» Readings| Quizzes| Exercises| Solo Projects

Bottom Line

Solid free option for learning professional-grade Python web development.

This Course Is Great For

  • Novice Programmers
  • Learning Without Videos
  • Frequent Practice

With App Academy Open, you have free access to the curriculum used in App Academy’s Full Stack Software Engineering program. In the program, the curriculum is supplemented by live instruction, with practice projects designed for pair programming. Here, you’re on your own to work through the material, but the organization of material and the frequent practice are similar.

The material is a collection of text-based explanations of core concepts, with frequent quizzes to check for understanding. Each section is supplemented by short projects where you apply your knowledge in a real world setting. And ultimately, the material culminates in a robust capstone project.

Unfortunately, with this free curriculum, you don’t get feedback on your capstone project, and if you get stuck at any point, you’ll need to go hunting for help. App Academy Open does have a Discord community, but your mileage may vary, especially since the Python curriculum comes late in the program, as one of the more advanced sections.

Another Great Option

Build Python Web Apps with Flask Skill Path

Build Python Web Apps with Flask Skill Path


By Various Authors

πŸ’° $$ πŸ•— 10 weeks at 10 hours per week
πŸ‘©β€πŸ’» Readings| Coding Challenges| Quizzes| Guided Projects| Solo Projects

Bottom Line

A solid option for learning to build web applications with Python and Flask, with engaging hands-on practice and a few challenging projects.

This Course Is Great For

  • Hands-on learning
  • Getting Started Quickly
  • Projects

In this path, you will learn how to code in Python, design and access databases, create interactive web applications with Flask, and deploy your apps to the cloud.

The course begins by covering some Python essentials before spending the majority of the time covering particular features of working with Flask.

Much of what’s covered in the Learn Python 3 course is included in the Introduction to Python and Introduction to Python Data Structures and Loops courses.

The path also includes a capstone project where you build a fully-featured Flask app. This is a completely open-ended project, where you get to decide the scenario and topic of the site. The instructor merely provides some basic requirements, like collecting user data with forms, storing data in a database, authenticating users, and deploying the app to the web.

Another Great Option

Become a Flask Developer

Become a Flask Developer


By Harsh Jain

πŸ’° $$$ (subscription required) πŸ•— 18 hours
πŸ‘©β€πŸ’» Readings| Coding Challenges| Quizzes| Assessments

Bottom Line

Great option if you want to learn without videos, and curate your own Python and Flask learning path from a disparate set of materials.

This Course Is Great For

  • Getting Up to Speed Quickly
  • Ongoing Reference
  • Learning by Doing

Educative's courses combine a variety of learning formats, including readings, quizzes, in-browser coding challenges, and in-browser playgrounds where you can run and test code.

We found the challenges to be decent practice, though limited in scope. They're typically enough to check for understanding of a concept, and tend to increase in difficulty as you get further in the course.

We also like that unlike Codecademy, you're in charge of navigating the course and marking sections complete. You can skip around, preview sections, and if you feel confident you already know the material, you can mark lessons or even entire modules complete.

Another Great Option

Scientific Computing with Python Certification

Scientific Computing with Python Certification


By Dr. Charles Severance & Others

πŸ’° Free πŸ•— 30 hours
πŸ‘©β€πŸ’» Videos| Exercises| Quizzes

Bottom Line

Dr. Chuck's excellent "Python for Everybody" course with autograded coding problems.

This Course Is Great For

  • Beginners
  • Expert-led Learning
  • Frequent Practice

This course takes the core materials from Dr. Chuck's Python for Everybody course and adds some solo coding projects to the end.

Dr. Chuck is a fantastic teacher. You can find his materials on a variety of platforms, but Python for Everybody is perhaps his greatest work: a free curriculum to learn Python from foundations to advanced topics. Here, FreeCodeCamp supplements the videos and quizzes with some robust coding challenges. While not necessarily real-world, the coding challenges will test the depth of your Python knowledge.

The course covers the essentials of working with Python, including some advanced topics like OOP, working with data from external APIs, and data visualization.

After taking this course, you’ll have a solid foundation of working with Python, and be ready to continue learning advanced web development topics in Python, including working with Flask, Django, and SQLAlchemy.

Why Learn Python

Python is a versatile, high-level programming language known for its simplicity and readability. It's widely used in web development for building backend systems, thanks to its extensive libraries and frameworks. Python's clean syntax and diverse ecosystem make it a powerful choice for fullstack developers to create efficient and scalable web applications.

Key Topics to Learn

To prepare for using Python professionally as a fullstack developer, focus on mastering these key topics:

  1. Python Fundamentals: Develop a strong understanding of Python syntax, data types, variables, functions, loops, and control flow.
  2. Object-Oriented Programming (OOP): Learn OOP concepts like classes, objects, inheritance, and polymorphism to create well-structured and reusable code.
  3. Web Frameworks: Explore web frameworks like Django and Flask. Django is a full-featured framework with built-in components for rapid development, while Flask is lightweight and flexible, allowing you to choose components as needed.
  4. Database Interaction: Learn how to work with databases using libraries like SQLAlchemy or Django's built-in ORM. Understand CRUD operations, database migrations, and data modeling.
  5. API Development: Gain proficiency in building RESTful APIs using frameworks like Flask-RESTful or Django Rest Framework to create backend services for your applications.
  6. Authentication and Authorization: Understand how to implement user authentication and authorization using libraries like Flask-Login or Django's authentication system.
  7. Testing and Debugging: Learn testing frameworks like unittest or pytest to ensure code quality. Develop debugging skills to identify and fix issues in your code.
  8. Version Control: Get comfortable with version control using Git. Understand how to manage code repositories, create branches, and collaborate effectively.
  9. Deployment and Hosting: Learn how to deploy Python applications using platforms like Heroku or AWS. Understand server configuration, deployment pipelines, and continuous integration.
  10. API Integration: Explore how to integrate external APIs into your Python applications for features like payment processing, mapping, social media sharing, etc.
  11. RESTful Architecture: Understand the principles of RESTful architecture, including designing resource endpoints, status codes, and handling different HTTP methods.

By mastering these topics, you'll be well-prepared to use Python professionally for backend web development. Practical application of these skills through projects and hands-on exercises will help solidify your knowledge and proficiency in Python.

Prerequisites for Learning Python

Python is generally regarded as an entry-level programming language. However, there are a few prerequisites that can greatly enhance your learning experience when starting to learn Python for web development:

  1. Basic Programming Knowledge: It's beneficial to have a fundamental understanding of programming concepts like variables, data types, loops, and conditional statements. Most of the courses listed above will assume some level of programming knowledge. If you're entirely new to programming, consider starting with a beginner's Python course to grasp these fundamentals.
  2. Basic Command Line Usage: Familiarity with using the command line or terminal is useful for running Python scripts, managing your development environment, and interacting with web development tools.

While not all of these prerequisites are strictly required, and can be learned alongside Python, having a foundational understanding of these concepts will significantly accelerate your learning process and enable you to grasp Python concepts more effectively.

After You Learn Python Fundamentals

Continue with more advanced topics with Python and Fullstack Development:

  1. Security: Learn best practices for securing your Python applications, including data validation, preventing common attacks (e.g., SQL injection), and using HTTPS.
  2. Performance Optimization: Learn strategies to optimize Python code for speed and efficiency, such as using caching, minimizing database queries, and optimizing algorithms.
  3. Concurrency and Asynchronous Programming: Familiarize yourself with asynchronous programming concepts and libraries like asyncio for handling I/O-bound tasks efficiently.
  4. Logging and Monitoring: Learn how to implement logging in your applications and monitor their performance using tools like logging libraries and application monitoring services.
  5. Deployment with AWS or Azure: Learn best practices for deploying Python web applications to the cloud.

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