Python For Beginners: Tutorials and Hands-On Exercises

We have put together many resources on our website for programmers learning Python, especially those whose first language is Python. Many of these are complete tutorials with exercises to help you practice what you’ve learned.

Python for Beginner Resources on This Site

Tools and First Steps for Writing Python Code

  • Jupyter Notebook: A Complete Introduction
    We love Jupyter Notebook because it lets us share code with our readers. It’s also a widely used tool, especially in the Data Science community. We recommend getting to know this tool because many of our tutorials come with free Jupyter Notebook exercises you can use and run. You can use it online or install it locally.
  • Thonny: The Most Beginner Friendly Python IDE
    For beginners looking for an IDE that has good basic features and an absolutely no-hassle install process, Thonny is a great choice.
  • PyCharm vs. VS Code: Which Is Better and Why?
    If you feel you need a more dedicated IDE than Jupyter Notebook, I’ve had great success with Both PyCharm (which comes in a free community edition) and VS Code. Of the two, PyCharm is a dedicated Python IDE, so there’s less setup involved to get it to work out of the box with Python.

Python Beginner Tutorials and Exercises

  • Boolean Expressions in Python (Tutorial with Exercises)
    This tutorial is about expressions that are either true or false, branching, and making decisions. You learn all about if statements, Boolean (True/False) expressions using comparison operators, combing and extending Boolean operations with and, or and not.
  • Python Lists for Beginners: A Complete Lesson with Exercises
    The list is one of the most heavily used and flexible of the Python collections classes. In this lesson, you’ll understand how to use li, create them dynamically using either loops or list comprehensions, and use the most heavily used of Python’s iteration control flow structures, the for loop. You’ll also learn about how to use Python’s range function and Python’s powerful slicing mechanism, a powerful syntax for getting a subset of the list.
  • Python Dictionaries for Beginners: A Complete Lesson with Exercises
    Once you’ve tackled lists, you’re ready to move on to the other workhorse collection class that’s built into Python: the dictionary. You’ll learn about how to create dictionaries and append values, how dictionaries optimize lookup performance, what to do about missing values, and how to implement counters using a related class, defaultdict.
  • Python Classes: Tutorial With Exercises
    In Python, everything you deal with — even number literals — are objects. At some point, however, we want to go beyond the classes that Python itself provides and start creating our own custom classes and objects. This article introduces you to object-oriented concepts and best practices and how to implement them in Python.
  • What Is a Python Package?
    Have you ever been stumped by a ModuleNotFoundError? Not anymore! Learning to import modules and packages is crucial to getting you past “Hello World.” This article clears up the confusion around packages and modules. You’ll learn how Python finds packages, the right way to create virtual environments and install packages, and even how to create your own packages.

General Beginner Programming Topics

  • How to Learn to Program
    You may have many questions and doubts if you’re new to programming. Am I too old to start programming? (By the way, I was thirty when I began, which led to a successful 30+ year career). Can you do it on your own? What should you think about first?
  • Learn Basic Command Line Skills and Rock Your Workflow
    No matter if you’re learning Python, Java, JavaScript, or whatever this week’s special flavor may bring us, being able to get around and customize the command line will make your work easier and more fun. This post teaches you all the basics.
  • How to Practice Python
    Python is a relatively easy language to learn for experienced developers, but we strongly recommend studying the language in-depth and lots of practice for newcomers to programming! But as with many good habits, sometimes we have good intentions, but we don’t follow through. This article offers many tips for building your Python practice habit and is based on recent research about habit formation.

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