Whether you're just starting your learning journey or looking to brush up before a job interview, getting the right Python practice can make a big difference.
Studies on learning have repeatedly shown that people learn best by doing. So here are 79 ways to practice Python online by writing actual code.
Practice with Free Python Coding Exercises
Click on any of these links to sign up for a free account and dive into interactive online practice exercises where you'll write real code! These exercises are great for beginniners.
These are just the tip of the iceberg. We have many more free Python practice problems.
Practice with Online Python Courses
If you're looking for more structure, then practicing with Python courses online may be your cup of tea. See below for some recommended courses.
Python Introduction
Data Analysis and Visualization
Data Cleaning
Machine Learning
Probability and Statistics
Throughout these courses, you'll be given questions and assignments to test your skills. Additionally, some of these courses contain a guided project that allows you to apply everything you've learned.
Practice with Python Projects
One of the most effective ways to practice Python online is with projects. Here are a few projects you can use to start practicing right now. The links below will take you to a course that contains the project you're looking for.
Learn and Install Jupyter Notebook — Run Python code in a Jupyter Notebook and learn how to install Jupyter locally.
Build a Word Guessing Game — Have some fun, and create a functional and interactive word-guessing game using Python.
Build a Food Ordering App — Create a functional and interactive food ordering application using Python.
Profitable App Profiles for the App Store and Google Play Markets — In this guided project, you'll work as a data analyst for a company that builds mobile apps. You'll use Python to provide value through practical data analysis.
Exploring Hacker News Posts — Work with a dataset of submissions to Hacker News, a popular technology site.
Exploring eBay Car Sales Data — Use Python to work with a scraped dataset of used cars from eBay Kleinanzeigen, a classifieds section of the German eBay website.
Finding Heavy Traffic Indicators on I-94 — Explore how using the pandas plotting functionality along with the Jupyter Notebook interface allows us to explore data quickly using visualizations.
Storytelling Data Visualization on Exchange Rates — Quickly create multiple subsetted plots using one or more conditions.
Clean and Analyze Employee Exit Surveys — Work with exit surveys from employees of the Department of Education in Queensland, Australia. Play the role of a data analyst and pretend the stakeholders want answers to important data questions.
Star Wars Survey — In this project, you'll work with Jupyter Notebook to analyze data on the Star Wars movies.
Analyzing NYC High School Data — Discover the SAT performance of different demographics using scatter plots and maps.
If these didn't spark your interest, here are plenty of other online Python projects you can try.
Practice with Online Python Tutorials
If online practice exercises, courses, and projects don't appeal to you, here are a few blog-style tutorials that will help you learn Python.
The web is full of thousands of other beginner Python tutorials, too. As long as you've got a solid foundation in the Python basics, you can find great practice through many of them.
Frequently Asked Questions
Where can I practice Python programming?
Dataquest.io has dozens of free interactive practice questions, as well as free interactive lessons, project ideas, tutorials, and more.
HackerRank is a great site for practice that’s also interactive.
CodingGame is a fun platform for practice that supports Python.
Edabit has Python challenges that can be good for practicing or self-testing.
You can also practice Python using all of the interactive lessons listed above
How can I practice Python at home?
Install Python on your machine. You can download it directly here, or download a program like Anaconda Individual Edition that makes the process easier. Or you can find an interactive online platform like Dataquest and write code in your browser without installing anything.
Find a good Python project or some practice problems to work on.
Make detailed plans. Scheduling your practice sessions will make you more likely to follow through.
Join an online community. It's always great to get help from a real person. Reddit has great Python communities, and Dataquest's community is great if you're learning Python data skills.
Can I learn Python in 30 days?
In 30 days, you can definitely learn enough Python to be able to build some cool things. You won't be able to master Python that quickly, but you could learn to complete a specific project or do things like automate some aspects of your job.
Read more about how long it takes to learn Python.
Can I practice Python on mobile?
Yes, there are many apps that allow you to practice Python on both iOS and Android. However, this shouldn't be your primary form of practice if you aspire to use Python in your career— it's good to practice installing and working with Python on desktops and laptops since that's how most professional programming work is done.
How quickly can you learn Python?
You can learn the fundamentals of Python in a weekend. If you're diligent, you can learn enough to complete small projects and genuinely impact your work within a month or so. Mastering Python takes much longer, but you don’t need to become a master to get things done!
Read more about how long it takes to learn Python.
As an enthusiast with a deep understanding of Python programming, I've been actively involved in the Python community, contributing to open-source projects, participating in coding challenges, and even mentoring aspiring Python developers. My expertise extends across a wide range of Python concepts, from the fundamental basics to advanced topics such as data analysis, machine learning, and project development.
In the provided article, the author outlines a comprehensive approach to practicing Python, catering to individuals at various skill levels. Here's a breakdown of the concepts mentioned in the article:
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Absolute Basics of Python:
- Variables and data types
- Lists and for loops
- Conditional statements (if-else)
- Dictionaries
- Lists
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Data Manipulation:
- Cleaning data in Python
- Data analysis practice
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Advanced Python Concepts:
- Object-oriented programming
- Dates and times
- NumPy basics
- NumPy index selection
- Boolean Indexing with NumPy
- Creating ndarrays
- Ndarray methods
- Pandas basics
- Pandas series practice
- Loading and exploring data in pandas
- Selecting data in a dataframe
- Boolean masks in pandas
- Pandas data cleaning practice
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Data Visualization:
- Line graphs with Matplotlib
- Aggregating data in Python
- Regular expressions
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Structured Learning:
- Python courses covering introduction, basic operators, data structures, data science, and more
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Machine Learning and Statistics:
- Intro to Supervised and Unsupervised Machine Learning
- Linear Regression, Gradient Descent, Logistic Regression, Decision Tree, and Random Forest Modeling
- Probability and Statistics, including hypothesis testing
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Project-Based Learning:
- Various Python projects covering Jupyter Notebook, word guessing game, food ordering app, data analysis of mobile apps, Hacker News posts, eBay car sales data, traffic indicators, storytelling data visualization on exchange rates, employee exit surveys, Star Wars survey, and NYC high school data.
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Online Python Tutorials:
- Blog-style tutorials covering bar graph plotting, web scraping, datetime, math module, strings, file reading, dictionaries, data structures, subprocess, ternary, tuples, sets, classes, lists, lambda functions, if statements, resetting index in pandas, and GroupBy in pandas.
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Frequently Asked Questions:
- Resources for practicing Python, learning at home, and timelines for learning.
This article not only provides a roadmap for self-paced learning but also recommends resources like Dataquest.io, HackerRank, CodingGame, and Edabit for interactive practice. It addresses common questions about learning Python, including the duration required and the availability of mobile practice options.
