Best Python Courses for Beginners
Python is the language most people are pointed to first, and for good reason: the syntax reads almost like English, and it stretches across data analysis, automation, scripting, and web work. This guide covers where to start with Python on Scrimba, how to judge a beginner course, and an honest take on what Scrimba does and does not do well for Python learners.
Where to start on Scrimba
On Scrimba, the clear starting point is Learn Python, a free beginner course rebuilt in August 2026 around three modules and three small apps. It assumes no prior programming, so you can sit down knowing nothing and finish with working code you wrote yourself.
One caveat to carry into it: the rebuild is shorter than the course it replaced (4.1 hrs against 5.6) and stops at functions and error handling, so dictionaries, file handling, and classes are not covered. The previous version (opens in a new tab) is still free and still teaches those, which makes it a decent second pass rather than a competitor.
Now the honest part. Scrimba is, first and foremost, a JavaScript and web-development platform. Its Python catalog is still narrow, so it is a genuinely good free starting point rather than a deep Python specialization. It has grown, though: alongside the course, Scrimba now ships free official Python docs (opens in a new tab), one part of a broader reference that also covers HTML, CSS, JavaScript, and how AI works, with a Beginner/Intermediate/Deep Dive level switcher that adjusts how deep each chapter goes, build-along projects, and a debugging section. That makes the free tier a more complete on-ramp than it used to be. If your goal is to find out whether programming clicks for you, or to pick up enough Python to be useful, this does that well. If you are aiming squarely at data science or backend Python as a career, treat Scrimba as the strong free first step and plan to move to a Python-focused resource afterward.
How to choose a Python course
A few things separate a good beginner course from a frustrating one.
- Interactivity. You learn a language by writing it, not by watching someone else type. Favor courses that make you code as you go rather than passively follow along.
- Real projects or challenges. Small builds and exercises force you to recall syntax instead of recognizing it, which is what actually moves knowledge into memory.
- Free first. There is no reason to pay before you know Python suits you. Start with a free course, confirm you enjoy it, and only then consider spending money.
- Honest scope. A beginner course should make you comfortable with the basics, not promise to make you job-ready in a weekend. Match the course's claims to where you actually are.
A sensible first path
If you are starting from zero, a low-friction path looks like this. Begin with the free Learn Python course and work through it slowly, redoing the interactive challenges until the syntax feels automatic, keeping the official docs (opens in a new tab) open to reread anything that does not land the first time. Resist the urge to rush ahead; the basics (variables, loops, functions, lists) are what everything else is built on. When the fundamentals feel solid, add dictionaries and file handling from the docs, since the course no longer teaches them and almost every Python tutorial you read next will assume them. The docs' build-along projects (from a beginner Mad Libs up to an advanced Inventory Manager) are a good way to prove you can apply the lot.
Once you can write small programs without constantly checking syntax, pick a direction based on what drew you to Python in the first place. If it was data or automation, your next stop is a Python-specialized platform, since that is beyond Scrimba's strength. If it was web development, Scrimba is suddenly an excellent home, and you can pivot toward its JavaScript and web courses where the catalog is deep. For people brand new to coding in general, the beginners track is a gentle place to get oriented first.
Free vs Pro
The Learn Python course is free, and you never have to pay to start or finish it. Scrimba Pro is a separate decision that unlocks structured career paths (which are JavaScript and web focused), coding challenges, a private Discord, and certificates. For learning Python basics, the free tier is all you need. If you later commit to the web side of Scrimba, see current plans (opens in a new tab) for what Pro costs in your region.
Yes. Its readable syntax and broad range of uses, from data to automation to web, make it one of the most beginner-friendly languages to start with.
Scrimba's free Learn Python course is a solid starting point, rebuilt in August 2026 around three projects and now taught by Treasure Porth. It is backed by free official docs (docs.scrimba.com) with adaptive depth, build-along projects, and a debugging section, which matter more since the rebuild dropped dictionaries, file handling, and classes. The platform is still JavaScript and web focused, so Python is a strong free on-ramp rather than a deep specialization.
No. The Learn Python course is free, though you need a free account to get past the preview lessons. Pro mainly unlocks the web-focused career paths, unlimited challenges, and Discord, none of which you need for Python basics. Certificates are listed as a Pro feature, so do not count on one from the free course without checking.
If you want data science or backend Python, move to a Python-specialized platform. If web development drew you in, lean into Scrimba's deeper JavaScript and web catalog.
Most beginners get comfortable with the fundamentals over a few weeks of regular practice. The free course is about 4.1 hours of content, but real fluency comes from rebuilding the projects and repeating the challenges.