You may have begun your Python journey interactively, exploring ideas within Jupyter Notebooks or through the Python REPL. While that’s great for quick experimentation and immediate feedback, you’ll likely find yourself saving code into .py files. However, as your codebase grows, your Python script structure efficiency becomes increasingly important. Transitioning from interactive environments to structured scripts helps promote readability, enabling better collaboration and more robust development practices. This tutorial transforms messy scripts into well-organized, shareable code. Along the way, you’ll […]

Interactive Quiz ⋅ 11 QuestionsBy Leodanis Pozo Ramos Share In this quiz, you’ll test your understanding of control flow structures in Python. Control flow dictates the order in which your code executes, letting you make choices, repeat work, and handle exceptions to build more flexible, reliable programs. For hands-on examples and a deeper dive, check out the tutorial Control Flow Structures in Python. The quiz contains 11 questions and there is no time limit. You’ll get 1 point for each […]

Python’s control flow structures allow you to dictate the order in which statements execute in your program. You can do this by using structures like conditionals, loops, and others. Normally, your code executes sequentially. You can modify this behavior using control flow structures that let you make decisions, run specific pieces of code in response to certain conditions, repeat a code block several times, and more. Knowing about control flow structures is a fundamental skill for you as a Python […]

The concept of scope rules how variables and names are looked up in your code. It determines the visibility of a variable within the code. The scope of a name or variable depends on the place in your code where you create that variable. The Python scope concept is generally presented using a rule known as the LEGB rule. The letters in the acronym LEGB stand for Local, Enclosing, Global, and Built-in scopes. This summarizes not only the Python scope […]

Interactive Quiz ⋅ 10 QuestionsBy Ian Eyre Share Why not challenge yourself and see how much you know about marimo notebooks? Working your way through this quiz is a great way to reinforce and build on what you learned in the Marimo: A Reactive, Reproducible Notebook tutorial. You could try answering the questions without reading the tutorial first, but you’d miss out on a great learning experience! The quiz contains 10 questions and there is no time limit. You’ll get […]

Marimo notebooks redefine the notebook experience by offering a reactive environment that addresses the limitations of traditional linear notebooks. With marimo, you can seamlessly reproduce and share content while benefiting from automatic cell updates and a correct execution order. Discover how marimo’s features make it an ideal tool for documenting research and learning activities. Before you can get started with marimo, you’ll need to install it. Fortunately, this is quick and easy to do: You use pip to install the […]

Interactive Quiz ⋅ 5 QuestionsBy Philipp Acsany Share In this quiz, you’ll test your understanding of Nested Loops in Python. Nested loops in Python involve placing one loop inside another, enabling iteration over multiple sequences or repeated actions. They’re particularly useful for handling multidimensional data, generating patterns, and performing repetitive tasks with multiple layers of iteration. The quiz contains 5 questions and there is no time limit. You’ll get 1 point for each correct answer. At the end of the […]

Nested loops in Python allow you to place one loop inside another, enabling you to perform repeated actions over multiple sequences. Understanding nested loops helps you write more efficient code, manage complex data structures, and avoid common pitfalls such as poor readability and performance issues. By the end of this tutorial, you’ll understand that: Nested loops in Python involve placing one loop inside another, enabling iteration over multiple sequences or repeated actions. Situations where nested loops are a good idea […]

You’ve likely interacted with large language models (LLMs), like the ones behind OpenAI’s ChatGPT, and experienced their remarkable ability to answer questions, summarize documents, write code, and much more. While LLMs are remarkable by themselves, with a little programming knowledge, you can leverage libraries like LangChain to create your own LLM-powered applications that can do just about anything. In this video course, you’ll learn how to: Use LangChain to build LLM-powered applications Create reusable instructions with prompt templates Create and […]