The best first Python course for true beginners
Python for Everybody is the right first course for someone who has never written code and wants a calm, well-paced foundation. Dr. Charles Severance explains each idea slowly, the five courses stay short, and every lesson is free on py4e.com, with a paid Coursera subscription only for the certificate. It stops at the basics plus web data and SQLite, so it will not make you job-ready alone. If you already code a little, or you want a big project portfolio, pick 100 Days of Code or CS50's Python course instead.
What we liked
- Charles Severance's teaching is patient and assumes zero background
- Every lecture, the textbook and autograded exercises are free at py4e.com
- Five short courses (about 79 hours in total) keep momentum high
- Covers web data, JSON, APIs and SQLite, which most intro courses skip
- Capstone lets you retrieve, store and visualize a real data set
What we didn't
- Uses a narrow slice of Python: no classes in depth, no pandas, no testing
- Capstone is light compared with a portfolio project
- Some lecture footage and examples look dated
- A Coursera certificate needs a paid subscription
Who it's for
Take it if you…
- have never programmed and want a course that does not rush you
- tried a faster course before and got lost after loops
- want Python for data work and need the basics of files, web data and SQL first
- prefer to learn free and pay only if you want the certificate
Skip it if you…
- already write basic Python and want harder problems
- need data science libraries such as pandas and NumPy right away
- want a large portfolio of finished apps to show employers
What you'll learn: the 5 courses
- Programming for Everybody (Getting Started with Python)Installing Python, variables, expressions, conditionals, functions and loops.~17 hrs
- Python Data StructuresStrings, files, lists, dictionaries and tuples, the core tools for handling data.~20 hrs
- Using Python to Access Web DataRegular expressions, sockets, HTTP, parsing HTML, XML and JSON, and calling web APIs.~19 hrs
- Using Databases with PythonObject basics, SQL and SQLite, relational data modeling and many-to-many tables.~14 hrs
- Capstone: Retrieving, Processing, and Visualizing Data with PythonPull a real data set, store it in a database, clean it and visualize the result.~9 hrs
Skills you'll practise
Python for Everybody is the best first Python course for someone who has never written code. It is a five-course beginner specialization from the University of Michigan on Coursera, taught by Charles Severance (known to learners as Dr. Chuck). Coursera lists about 79 hours of material, or roughly two months at 10 hours a week. Every lecture, the textbook and autograded exercises are free on py4e.com under a Creative Commons license, and Coursera lets you preview the first module before paying. It is the wrong pick if you already know the basics or need pandas next week.
The specialization teaches core Python, then points it at real data: files, web pages, JSON APIs and SQLite databases. That last third is what sets it apart from most intro courses. For the wider field, see our best Python courses ranking and the Python subject hub.
Is Python for Everybody worth it in 2026?
Yes, for complete beginners. It is the most forgiving serious Python course on Coursera, the full material is free on py4e.com, and it covers web data and SQL that rival intro courses leave out. It is not worth paying for if you can already write loops and functions.
The value comes from pace. Severance spends real time on the moments where beginners usually quit: the first loop, the first dictionary, the first file that will not open. The exercises are small and autograded, so you get quick feedback without a heavy project hanging over you.
The cost of that gentleness is depth. The course never teaches pandas, testing, virtual environments or larger program design. Think of it as a strong first floor. You still need a second course to build anything an employer would notice.
When the answer flips
- You already code a little: skip to CS50’s Introduction to Programming with Python for harder problem sets and unit testing.
- You learn by building: 100 Days of Code gives you a project every day and a bigger portfolio.
- You need Python for data jobs fast: IBM’s Python for Data Science, AI & Development reaches pandas and NumPy in about 25 hours.
- You work in IT support: Google IT Automation with Python aims Python at servers, Git and troubleshooting.
Take Python for Everybody if you are starting from zero. Learn it free on py4e.com, pay Coursera only if you want the certificate, then move to a project-based or data-focused course.
How much does Python for Everybody cost?
The full course is free on py4e.com. Coursera ended free auditing in August 2025, so on Coursera you can preview the first module and then need a monthly subscription that ends when you cancel, so finishing faster costs less.
Coursera bills specializations monthly. Comparable programs were listed at $49 a month in the US in October 2026, and Coursera Plus costs $59 a month or $399 a year for the whole catalog. Financial aid is available for learners who qualify. Check the official specialization page for the price in your region before you start a trial.
| Route | What you get | Approximate cost |
|---|---|---|
| Preview on Coursera | First module only, including its graded items | $0 |
| py4e.com | Lectures, free textbook, autograded exercises, badges | $0 |
| Subscription, 10 hrs/week | Graded work plus a shareable certificate in about 2 months | About $98 at $49/month |
| Subscription, 20 hrs/week | Same certificate in about 1 month | About $49 |
| Coursera Plus annual | This plus other courses for a year | $399 |
If you plan to take two or more Coursera programs in a year, the annual plan usually wins. Our guide to whether Coursera Plus is worth it runs the break-even math, and current Coursera deals lists any discounts.
How hard is Python for Everybody?
It is one of the easiest real programming courses available. No prior experience is required, the math stays at arithmetic, and the first course moves slowly enough that most adults with 5 to 10 hours a week can keep up.
The difficulty rises in course three. Regular expressions, sockets and parsing XML and JSON ask more of you than loops did. Course four adds SQL joins and many-to-many tables, which is often the first time beginners model data on purpose. Learners who stall usually stall there, so plan extra time for those two courses.
The capstone asks for less than its name suggests. You pick a data source, retrieve it, store it and draw a simple visualization. It proves you can join the pieces together, but it will not fill a portfolio on its own.
Python for Everybody vs alternatives
Python for Everybody wins on gentleness and price. The alternatives win on depth, project volume or job focus. Choose based on where you are now, not on which course has the biggest name.
| Course | Best for | Length | Cost | Main trade-off |
|---|---|---|---|---|
| Python for Everybody | Total beginners | ~79 hours | Free on py4e.com; Coursera subscription for certificate | Stops at the basics |
| CS50 Python (Harvard) | Beginners who want rigor | ~10 weeks | Free, free CS50 certificate | Harder problem sets |
| 100 Days of Code | Project-driven learners | 100 days, ~57 hrs video | One-off Udemy price | Long and uneven later on |
| Python 3 Programming | P4E graduates | Five courses | Coursera subscription; first module preview free | Assumes the basics |
A common path is Python for Everybody first, then the University of Michigan’s own follow-on, Python 3 Programming, or a free project track such as freeCodeCamp Scientific Computing with Python. If you are weighing platforms rather than courses, read our Coursera review.
What can you do after Python for Everybody?
You can write small scripts that read files, call a web API, store results in SQLite and print a summary. That is enough to automate personal tasks, but not enough on its own for a developer or data job.
For a data career, follow it with SQL practice and pandas, then a certificate such as the Google Data Analytics Professional Certificate or IBM Data Science. Our data analyst career page maps the route. For software roles, build three or four projects of your own and look at the software engineer path.
Python for Everybody FAQ
Is Python for Everybody free?
The material is. py4e.com hosts the lectures, textbook and autograded exercises free. On Coursera you can preview the first module, then need a subscription or financial aid for full access and the certificate. You only pay if you want the Coursera certificate.
How long does Python for Everybody take?
Coursera lists about 79 hours across five courses, or roughly two months at 10 hours a week. Learners with more time often finish in four to six weeks.
Who teaches Python for Everybody?
Charles Russell Severance of the University of Michigan School of Information. He also wrote the free textbook, Python for Everybody, used throughout.
Is the Python for Everybody certificate worth anything to employers?
It shows you finished a structured beginner program from a known university, which helps on LinkedIn. It does not carry university credit, and employers will care more about projects you build afterwards.
Should I take Python for Everybody or CS50 Python?
Take Python for Everybody if you have never coded and want a gentle pace. Take CS50 Python if you want harder problems, unit testing and object-oriented programming, and you can handle some frustration.