Best Places to Learn Python Online in 2026

For anyone who wants to learn Python online, it can be a bit overwhelming.

The frustrating thing is that despite having a ton of options, very few of them fit your needs. When I was a beginner who wanted to learn Python, I wanted:

• An interactive platform
• that didn't assume prior knowledge
• that would give me something at the end that I could put on a portfolio
• didn't cost too much
• where I could learn on my own time
• and had some kind of community element

There were very few places that met all my criteria.

Of course, other folks learning Python online might want different things, like being able to read a textbook or taking some kind of high-octane Python Bootcamp. You might want to get a Python certification, or maybe you need to only look at free online courses.

My point is that everyone wants something slightly different, so it's tough to put together a list of truly "best" places to learn Python online.

Instead, I'm making a list of some great Python options, and giving you enough information to make up your mind.

I will also assume that you are a beginner coder, who isn't interested in shortcuts or "the easy way" (which doesn't exist), and that you want to get a full-time job at the end of learning Python. I will also assume you don't have ten thousand dollars or four years to spend on a degree or Bootcamp.

Interactive Coding Platforms

Let’s start with my favorite way to learn: interactive coding platforms. I love interactive, self-taught platforms because they’re engaging while still being affordable, unlike bootcamps.

In this section, I’ll offer a brief description of each platform, how much it costs, how long it’ll take to teach you Python, what its benefits are, the cons, and an example lesson you might learn.

Boot.dev

Why not start with the best? Boot.dev is the best way to follow a Python and Go back-end course curriculum the addictive way. It’s got a fantasy theme, you learn Python accompanied by Boots the Bear, and it’s designed to get you hooked on the fast, easy process of building Python code.

With an active community and a focus on getting a job, Boot.dev is one of the best places to learn Python online, especially for beginners.

Price

Boot.dev costs $59/month or $399/year. You can try the first few chapters with full interactivity and read all the course material in free mode. Paying for a membership unlocks the graded lessons, quizzes, hints, solutions, and certificates.

How long does it take to learn Python here?

This is hugely dependent on your situation. Boot.dev estimates that their backend career path takes around 12 months.

Quick math time: at current prices, the annual membership costs less than seven individual months ($399 versus $413).

Benefits

Boot.dev is one of the more reasonably priced places to learn Python online. It also has more engagement than other self-paced online courses thanks to the weird gamer theme and active Discord community.

Cons

It’s geared toward backend developers. If you only are interested in the frontend, or you’re just learning Python for a fun hobby rather than as a career move, this might be more than you need.

Sample task

Here’s an example of an assignment you might receive on Boot.dev’s Learn Python course.

car_size = 4
truck_size = 5
is_smaller = # calculate is_smaller here

Codecademy

Codecademy is like the vanilla coding platform, which I say as a compliment. It’s a comprehensive and structured way to learn Python online. Designed for beginners with little to no coding experience, Codecademy offers a gamified learning experience that makes learning to code fun and engaging.

There’s a range of courses available, including Python. You can get in on either a basic free version or a paid version that unlocks additional content and features.

Price

As I mentioned, there’s a very basic free plan where you can get your feet wet with Python. Beyond that, you can choose the Plus plan to get more courses and quizzes. The Pro plan comes with professional certifications, technical interview prep, code challenges, and assessments.

Plus costs $34.99 a month, or $17.49 when billed annually. Pro costs $59.99 monthly, or $29.99 when billed annually.

Duration to learn Python

Again, this is very contingent upon your personal style and learning speed. But because it’s a platform designed with beginners in mind, and thanks to its aggressive gamification style, you can consider yourself a basic Pythonista in 25 hours, which could be just a few weeks.

Benefits

Codecademy is great for beginners who want a structured and engaging way to learn Python. It’s user-friendly – learners can access the courses from any device with an internet connection. Codecademy also offers a supportive community of learners and mentors to help answer questions and provide feedback.

Cons

Once you’re no longer a beginner, Codecademy loses its shine. I also found it more like Duolingo for learning a language * very gamified, but at the cost of imparting actual understanding and meaning. Depending on your tastes, that may appeal to you or not.

FreeCodeCamp

FreeCodeCamp is, as you’d guess from the name, a free and flexible way to learn Python. It offers practical experience and real-world learning projects to help you learn Python online. Their entire mission is to try to get as many Pythonistas out in the world, as fully empowered to code.

Price

Free to use. Learners can access all the courses and resources without so much as paying a penny.

Duration to learn Python

There’s a lot of material to dive into, but it’s broken down into certifications and projects. How long it takes depends on how much of the broader curriculum you follow and how much time you spend building those projects.

Pros

It’s free! And there’s tons of material to dive into.

Cons

This is a much less interactive format than the other two, with more lectures and less guidance when you get stuck. It’s better for people who are determined to be self-taught.

Example task

Which code is indented correctly to print "Yes" if x = 0 and y = 10?

if 0 == x:
if y == 10:
print("Yes")

if 0 == x:
    if y == 10:
    print("Yes")

if 0 == x:
if y == 10:
    print("Yes")

if 0 == x:
    if y == 10:
        print("Yes")

Massive Open Online Courses

While those were all interactive platforms that are specifically geared to programming, you can also learn Python online on Massive Open Online Courses, which serve as places where people can upload courses for you to take.

In this section, I’ll describe each, give its cost, and explain the pros and cons.

Udemy

Udemy is home to a huge number of courses on a wide range of topics, including Python. Many courses on Udemy are taught by industry professionals, and the platform offers a mix of free and paid courses.

Price

The cost of Udemy courses varies widely, depending on the course and the instructor. While some courses are free, others can be pricey. However, Udemy frequently offers discounts and promotions, which can make courses more affordable.

Benefits

On Udemy, you can choose from a huge variety of courses and instructors available. With thousands of courses on Python alone, you can choose a course that best fits your needs and learning style. Truly spoiled for choice.

Cons

That being said, the quality of the courses can vary. Some courses are taught by industry professionals and offer valuable insights, but anyone can upload a course to Udemy.

Plus, some courses may not be updated regularly, which means the material may be outdated or no longer relevant. Finally, you don’t get any interactivity or community, so it’s tough to get feedback or support when you need it.

edX and Coursera

Now, in contrast, edX and Coursera host Python courses from universities, technology companies, and independent instructors. If you choose one of their university courses, you’re getting taught by real professors, for real colleges.

Price

Access rules vary. Some courses can be audited for free, while graded assignments, longer programs, and certificates usually require payment. You might not get the quizzes or a certificate when you audit a course, but you’ll still have the knowledge that you learned through the course itself.

Benefits

College courses mean you’re getting taught by people whose job it is to teach. You also get a syllabus with a defined start and finish.

Cons

These courses can be much more expensive than Udemy, with a more limited selection. Video-heavy courses still require you to practice outside the lectures.

Video tutorials

Let’s take a look at some of the places you can learn Python with plain, free, video tutorials found on YouTube.

Pros

The pros are that these have a huge amount of social proof. You can see exactly how many people viewed the Python video, and students often leave their thoughts in the comments. Of course, most of these video tutorials are free.

Cons

They aren’t especially interactive, though some do offer code-along sessions. They’re also not created by professionals in many cases. They may be too short, or too boring, to teach you much. And they require a lot of self-discipline to complete in any meaningful way.

Best video tutorials to learn Python

• Corey Shafer's Python Series - In-depth and comprehensive Python tutorials covering everything from basic syntax to advanced topics like web scraping and Django.
• Sentdex - Python programming tutorials that cover a wide range of topics including data analysis, machine learning, and web development.
• Pretty Printed - Short and easy-to-follow Python tutorials with a focus on practical applications and projects.
• Programming with Mosh - A comprehensive Python course that covers everything from the basics to advanced topics like data structures, algorithms, and GUI programming.

Text-based tutorials

What if you prefer to read? Text-based tutorials are a great option for any burgeoning Pythonistas who prefer reading over watching videos.

Pros

There are a plethora of free resources available online that provide detailed and comprehensive Python tutorials in written form.

These tutorials cover everything from the basics of Python syntax and data structures to more advanced topics like web scraping, data analysis, and machine learning. Many of these resources also provide practical examples and exercises to help reinforce the concepts learned.

Cons

I can’t say that I have ever learned a brand new skill just by reading a blog. I think text-based tutorials are very useful for introductions, background reading, and very specific, niche tutorials on how to do certain things. But there’s no community or engagement.

Best text-based online tutorials for learning Python

• The official Python tutorial - Python's own guide to its syntax and standard library. It’s dry, but it’s comprehensive.
• Real Python - A comprehensive online platform for learning Python with a wide range of tutorials, articles, and video courses. Text-focused, but with bonus bits that make it a joy to learn with.
• PyLessons - A popular text-based resource for learning Python online, offering free and comprehensive tutorials that cover a wide range of topics, from basic syntax to advanced topics like machine learning and data analysis.

Books

What if you prefer to read not just a blog post or a how-to guide, but a whole-ass completed thought?

I think books are one of the best ways to learn because they are a complete, full, mindfully designed creation. I talk about this in my article about the top 11 computer science books.

Pros

It’s truly self-paced learning, which is both good and bad. The cost is typically good, and you might find some free textbooks out there too. I also love that books are complete. They’re not a series of blog posts; books are structured and designed to be a comprehensive resource that covers all the key concepts and topics.

This is helpful for beginners who may feel overwhelmed by the amount of information available online.

I find having all this information laid out in a logical, organized way for you to digest is the best way to build a framework of knowledge. Everything else you learn can be slotted into the framework you build with books.

Cons

Of course, self-paced is a double-edged sword. You need bucketloads of self-motivation to learn Python by reading a book online. You also have to love reading.

A Byte of Python

This book really takes the cake. It is incredibly thorough, well-written, and specifically targeted at those who are first learning to code. Even experienced programmers will enjoy this read and gain some knowledge. It's easy to feel frustrated with the learning process, but this book has helped so many people, from curious kids to people looking to change careers.

Swaroop truly composed one of the best resources for learning Python. They claim that "if all you know about computers is how to save text files, then this is the book for you." It includes all of the basics like data types, data structures, OOP, I/O, exceptions, the standard Python library, and basic Python setup. The book even includes a problem-solving section, which is great, since thinking about how to code is just as important as the actual coding.

This book is a condensed, free resource to double-check your doubts, learn about Python-specific data structures and how best to use them, and pick up some of the more classic CS curriculum, like input/output and exceptions.

Automate the Boring Stuff

Python is great for writing automation programs, and I often think that can be one of the most motivating reasons to start coding with Python: to eliminate the boring parts of your job!

A simple script which does in seconds what would've taken hours is very inspiring when it comes to learning to code.

Al Sweigart makes programming with Python very approachable. The book is free, and the author has several other books that dig deeper into different parts of Python and its uses. The first part of the book covers Python basics, while the rest walks you through very useful and practical examples of ways you can use Python to make your life easier, like updating, renaming, and moving files and folders in large batches or crawling the web.

These very cool programming challenges really are quite practical. The book walks you through in great detail any libraries or tools you need to download, like openpyxl.

More Python books

Here are some of my Python book faves. I’ve hyperlinked to physical books, but you can find many of these online.

• Python for Everybody - Offers an intro to Informatics-oriented programming using Python. There’s a focus on using Python to solve data analysis problems common in the world of Informatics.
• Python Crash Course - A fast-paced and project-based book that covers the fundamentals of Python programming and advanced topics like web development, data visualization, and game development.
• Learning Python - A comprehensive book that covers the basics of Python programming, object-oriented programming, and advanced topics like network programming and web services.
• Head First Python - A visually engaging book that uses a hands-on approach and real-world examples to teach Python programming concepts.
• Learn Python the Hard Way - A popular book (that comes with an online course) that takes a project-based approach to teaching Python with a focus on practical programming skills.

Blogs

Blogs have got a bit of a bad rap, but they're one of the best resources for learning Python because they come from a place of pure, unadulterated passion for Python. The real Pythonistas write blogs.

With most of their content available to the public, blogs are probably the resource I interact with most frequently. I think almost all developers would admit they are deeply grateful for the programming knowledge strangers have graciously shared on the internet ...and AI has slurped up to train on.

More than just specific help with a certain exception, programming blogs are wonderful publications that can include everything from an innovative use of existing technology and how-to guides to walkthroughs of the basics with elaborate examples.

Here are my top three favorite Python blogs.

Full Stack Python

This blog has been active since 2012, and over the years, it's produced a plethora of informative material. It's got tons of very cool application examples, like learning pandas by exploring COVID-19 data and creating cool visuals using open source visualization libraries, and important concepts like how to monitor web applications.

In addition to inspiring tutorials, Full Stack Python also has plenty of blog posts covering basics like basic data types. If you're looking to dive deep on a certain topic, Full Stack Python can help inform you too. They have a wide variety of in-depth technical guides. Though the examples are very specific, which means less may be applicable to your current problem or interests, if you find one that fits what you're looking for, these posts are very informative.

Finxter

Finxter is great when you're having trouble wrapping your head around some of the more elusive computer science concepts in the context of Python, like what static class variables and methods are in Python.

Finxter is a great intermediate blog to spend time combing through. Once you've grasped the basics of programming, there are a lot of basic tasks, like how to call an element from a NumPy array, which may go just a little over your head, and it's nice to have a wealth of examples to turn to on Finxter to walk you through how to accomplish your current coding goal.

You'll also find lots of cool compilations of additional resources that are helpful to the average Python programmer on Finxter, including what they call cheat sheets, which are like condensed syntax or behavior study guides.

There are also cool application posts like how to sample a random number from a probability distribution and super useful basics like how to initialize a dictionary with keys.

Python Software Foundation

Having the added bonus of being the blog of the official Python foundation, this blog targets a more advanced or fanatical audience. Dig in here if you're looking to find out the intricacies behind recent updates and releases. They also have a really detailed beginner's guide to Python and other cool insider resources.

Here you'll find lots of interesting Python-specific tidbits in terms of what goes into the Python standard library, explanations of the latest releases of tools like pip and what their implications are. It is quite technical and advanced, so this blog is less useful for the casual reader.

Online communities

Let’s do a 180 and look at some online communities as a resource to learn Python online.

Pros

Much more engagement, lots of motivation, and companionship. These sites are often free or included in a low-cost membership.

Cons

Not a huge amount of structure. These are good in combination with one or more of the other resources I mention in this list but aren’t a good way to learn Python in isolation.

Best online communities for learning Python

Sometimes, the best resources for learning Python come from real people, not resources at all. Reading books, blogs, and watching videos can all be great ways of learning to code with Python, but sometimes it's nice to join others on this journey. Reach out to join a community of Pythonistas to help you keep your motivation up, get one-on-one coding or career advice, and make some friends with a common interest in coding with Python.

Having a community to turn to to proudly show off your latest prototype, be inspired by the work of others, or get some debugging help can make the coding learning journey more pleasant.

Real Python

They've got lots of free tutorials, from basics to super specific, advanced topics. One thing I really like about Real Python's content is that they've organized their free tutorials into "learning paths," so while the giant list of topics may feel overwhelming, you can read through them in chunks by picking a few learning paths.

They have tons of quizzes, mostly focused on Python fundamentals. A lot of them line up with one of their learning paths. It's a great way to validate your knowledge acquisition, and they're free!

You do have to become a paid member to access true community aspects, like office hours and their Slack. Even if you decide the paid route isn't for you, their free content is really valuable.

PySlackers

PySlackers is an open Slack community, and beginners and experts alike are welcome to join.

PySlackers has a very cool assortment of resources covering algorithms, Python essentials, and frameworks like Django, Flask, and FastAPI. They've also got a great collection when it comes to testing, which is such a critical part of the software development cycle.

On top of sharing resources, PySlackers also has a collection of community projects ranging from an asynchronous bot framework, an async Slack API library, and their own website. Open source communities like PySlackers with ongoing projects are great ways to get your feet wet, write some code, get feedback, and learn from others in the community.

The official Python community

Python's official community has a vast collection of sub-communities focused on different goals or technical interests. This collection includes a bunch of chat rooms, Discord servers, newsletters, LinkedIn groups, conferences, and more. In addition to useful resources, Python.org also has specific sub-communities based on region, topic, tech stack, and more. They also have official forums.

More Python communities

• Learn Python subreddit - A community where beginners can ask questions and get help with Python exercises and projects.
• Python subreddit - A popular online community for Python enthusiasts and learners. Features discussions, Q&A, and news related to Python programming.
• Stack Overflow - An online community for programmers of all levels. Offers a wealth of information and resources on Python programming through questions and answers, tutorials, and forums.

Coding challenge platforms

What about places where you can test your mettle? I love improving my Python skills with some real stakes. These coding challenge platforms aren’t just a place for you to passively learn – you’ll get real interview questions, compete in actual competitions, and show off in front of other coders.

Pros

Coding challenge platforms give you practical, engaging ways to learn and practice Python skills, offering real-world scenarios and opportunities for collaboration and competition. Plus, you’re in public, so you can’t slack off.

Cons

But they may not offer the same depth of content or guidance as other learning resources like books or courses. Plus, the competitive nature can be a bit of a turn-off for some Python learners.

The best coding challenge platforms to test your Python skills online

• StrataScratch - Provides a collection of real-world SQL and Python interview questions for users to practice with.
• Kaggle - Offers a range of Python challenges, including competitions that involve real-world datasets and problems.
• HackerRank - An online platform for coding tests, offering a range of Python challenges and competitions.
• Codewars - A community-driven platform that offers a range of coding challenges, including Python challenges of varying difficulty levels.

Industry resources

Sometimes it’s nice to do things yourself. Other times it’s nice to let a well-funded corporation with a lot of talent and resources guide you. Maybe learning Python online is one of those times.

If you’re struggling to get to grips with the vast amount of info available online, use a corporate guide to get started.

Pros

Especially Microsoft and Google have a vested interest in teaching the next generation of people to use Python. That means that their resources are likely to be great, and they’re 100% free.

Cons

These are designed for people learning Python for Microsoft or Google jobs. Python is Python is Python, but these will leave out some interesting parts because they’re especially geared toward Microsoft and Google’s interests. Plus, I find these to be more boring than e.g. Programming with Mosh.

The best online corporate tools to learn Python

• Google’s Python class - A free class for people with some programming experience, including text, videos, and code exercises.
• Microsoft Learn's Python module - A short introduction with examples and exercises that you can use before moving to a larger course or project.

Final thoughts on the best places to learn Python

This isn’t intended to be the definitive answer. Think of this more like a signpost. Have a look at these online resources and communities, and decide which one works best for you. Ultimately, it’ll be a combination of:

• Time
• Money
• Willpower
• Interest
• Learning style

I recommend you try a few of each, and select a combination of resources to learn Python online that works best for you.