Suppose a Jupyter Notebook client (for example, a tab in Google Chrome or Visual Studio Code) provides a JavaScript object whose methods you want to call from its corresponding Python kernel. For ...

Abstract: We present mpi4py.futures, a lightweight, asynchronous task execution framework targeting the Python programming language and using the Message Passing Interface (MPI) for interprocess ...

There’s lots to do in this edition of the Python Report: Do more than one thing with Python’s async. Do the math faster in Python with NumPy. Do Python in Visual Studio Code, and do it the right way ...

In many AI applications today, performance is a big deal. You may have noticed that while working with Large Language Models (LLMs), a lot of time is spent waiting—waiting for an API response, waiting ...

Community driven content discussing all aspects of software development from DevOps to design patterns. Ready to develop your first AWS Lambda function in Python? It really couldn’t be easier. The AWS ...

Microsoft is betting big on AI. Starting with integrating Bing with ChatGPT, it has implemented AI capabilities in its products. Microsoft Designer is a new product from Microsoft with AI capabilities ...

Getting input from users is one of the first skills every Python programmer learns. Whether you’re building a console app, validating numeric data, or collecting values in a GUI, Python’s input() ...

If you’re new to Python, one of the first things you’ll encounter is variables and data types. Understanding how Python handles data is essential for writing clean, efficient, and bug-free programs.

What if you could create your very own personal AI assistant—one that could research, analyze, and even interact with tools—all from scratch? It might sound like a task reserved for seasoned ...

Dana Miranda is a Certified Educator in Personal Finance, creator of the Healthy Rich newsletter and author of You Don't Need a Budget: Stop Worrying about Debt, Spend without Shame, and Manage Money ...

In this tutorial, we guide users through building a robust, production-ready Python SDK. It begins by showing how to install and configure essential asynchronous HTTP libraries (aiohttp, nest-asyncio) ...