Last month brought exciting performance news for Python! The Python 3.15 alphas showed JIT compiler speed gains of up to 7–8% on some platforms, while pandas released version 3.0, delivering the most significant performance improvements in years. The Python Software Foundation also received considerable investments in Python security and launched the 2026 Python Developers Survey, and PyTorch 2.10 deprecated TorchScript. Time to dive into the biggest Python news from the past month! Python Releases and PEP Highlights Last month brought […]

The idea of attending a Python conference can feel intimidating. You might wonder if you know enough, if you’ll fit in, or if it’s worth your time and money. In this guide, you’ll learn about the different types of Python conferences, what they actually offer, who they’re for, and how attending one can support your learning, confidence, and connection to the wider Python community. Prerequisites This guide is for all Python users who want to grow their Python knowledge, get […]

This video course will teach you how to use Gemini CLI to bring Google’s AI-powered coding assistance directly into your terminal. After you authenticate with your Google account, this tool will be ready to help you analyze code, identify bugs, and suggest fixes—all without leaving your familiar development environment. Imagine debugging code without switching between your console and browser, or picture getting instant explanations for unfamiliar projects. Like other command-line AI assistants, Google’s Gemini CLI brings AI-powered coding assistance directly […]

The terminal provides Python developers with direct control over their operating system through text commands. Instead of clicking through menus, you type commands to navigate folders, run scripts, install packages, and manage version control. This command-line approach is faster and more flexible than graphical interfaces for many development tasks. This tutorial walks through the fundamentals of terminal usage on Windows, Linux, and macOS. The examples cover file system navigation, creating files and folders, managing packages with pip, and tracking code […]

In Python, a callable is any object that you can call using a pair of parentheses and, optionally, a series of arguments. Functions, classes, and methods are all common examples of callables in Python. Besides these, you can also create custom classes that produce callable instances. To do this, you can add the .__call__() special method to your class. Instances of a class with a .__call__() method behave like functions, providing a flexible and handy way to add functionality to […]