Python tutorials

The surprising way to save memory with BytesIO

If you need a file-like object that stores bytes in memory in Python, chances are you you’re using Pytho’s built-in io.BytesIO(). And since you’re already using an in-memory object, if your data is big enough you probably should try to save memory when reading that data back out. After all, it’s better not to have two copies of all the data in memory when only one will suffice. In this article we’ll cover: A quick intro to BytesIO. The memory […]

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Creating a Scalable Flask Web Application From Scratch

Flask is a powerful and flexible micro web framework for Python, ideal for both small and large web projects. It provides a straightforward way to get a web application up and running, with all the features that you need to get started. Over the course of this video course, you’ll explore the process of creating a boilerplate for a Flask web project. This boilerplate will serve as a great starting point for any scalable Flask web app that you wish […]

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Faster pip installs: caching, bytecode compilation, and uv

Installing your Python application’s dependencies can be surprisingly slow. Whether you’re running tests in CI, building a Docker image, or installing an application, downloading and installing dependencies can take a while. So how do you speed up installation with pip? In this article I’ll cover: Avoiding the slow path of installing from source. The package cache. Bytecode compilation and how it interacts with installation and startup speed. Using uv, a faster replacement for pip, and why it’s not always as […]

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Quiz: How to Deal With Missing Data in Polars

Interactive Quiz ⋅ 10 QuestionsBy Ian Eyre Share In this quiz, you’ll test your understanding of How to Deal With Missing Data in Polars. By working through the questions, you’ll review your understanding of dealing with null values in Polars and also expand on what you learned in the tutorial. You’ll need to do some research outside of the tutorial to answer all the questions. Embrace this challenge and let it take you on a learning journey. The quiz contains […]

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How to Deal With Missing Data in Polars

Efficiently handling missing data in Polars is essential for keeping your datasets clean during analysis. Polars provides powerful tools to identify, replace, and remove null values, ensuring seamless data processing. This tutorial covers practical techniques for managing missing data and highlights Polars’ capabilities to enhance your data analysis workflow. By following along, you’ll gain hands-on experience with these techniques and learn how to ensure your datasets are accurate and reliable. By the end of this tutorial, you’ll understand that: Polars […]

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Exploring Python’s tuple Data Type With Examples

In Python, a tuple is a built-in data type that allows you to create immutable sequences of values. The values or items in a tuple can be of any type. This makes tuples pretty useful in those situations where you need to store heterogeneous data, like that in a database record, for example. Through this tutorial, you’ll dive deep into Python tuples and get a solid understanding of their key features and use cases. This knowledge will allow you to […]

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Catching memory leaks with your test suite

Resource leaks are an unpleasant type of bug. Little by little your program uses more memory, or more file descriptors, or some other limited resource. Everything seems fine—until you run, and now your program is dead. In many cases you can catch these sort of bugs in advance, by tweaking your test suite. Or, after you’ve discovered such a bug, you can use your test suite to identify what is causing it. In this article we’ll cover: An example of […]

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Building Dictionary Comprehensions in Python

Dictionary comprehensions are a concise and quick way to create, transform, and filter dictionaries in Python. They can significantly enhance your code’s conciseness and readability compared to using regular for loops to process your dictionaries. Understanding dictionary comprehensions is crucial for you as a Python developer because they’re a Pythonic tool for dictionary manipulation and can be a valuable addition to your programming toolkit. In this video course, you’ll learn how to: Create dictionaries using dictionary comprehensions Transform existing dictionaries […]

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Ways to Start Interacting With Python

There are multiple ways of interacting with Python, and each can be useful for different scenarios. You can quickly explore functionality in Python’s interactive mode using the built-in Read-Eval-Print Loop (REPL), or you can write larger applications to a script file using an editor or Integrated Development Environment (IDE). In this video course, you’ll learn how to: Use Python interactively by typing code directly into the interpreter Execute code contained in a script file from the command line Work within […]

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Learn From 2024’s Most Popular Python Tutorials and Courses

As we welcome 2025, it’s the perfect time to reflect on the exciting advancements the Python community made in 2024. Python 3.13 stood out as a milestone release, introducing ground-breaking experimental features like free threading and a just-in-time (JIT) compiler, both designed to boost performance. The REPL also received an upgrade, with a modern redesign that enhances the coding experience for developers of all levels. These updates, along with other cool new features, have reinforced Python’s reputation as a continually […]

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