Recently, we wrote a detailed tutorial on how to build your own AI chatbot with ChatGPT API. And for that project, we used Python and Pip to run several essential libraries. So if you are also getting ...

Python developers often need to install and manage third-party libraries. The most reliable way to do this is with pip, Python’s official package manager. To avoid package conflicts and system errors, ...

Python libraries are pre-written collections of code designed to simplify programming by providing ready-made functions for specific tasks. They eliminate the need to write repetitive code and cover ...

Visual Studio Code (VSCode) is a powerful, free source-code editor that makes it easy to write and run Python code. This guide will walk you through setting up VSCode for Python development, step by ...

Learning something new can feel overwhelming, especially when it comes to programming. Maybe you’ve always wanted to dip your toes into coding but felt intimidated by the jargon or unsure where to ...

Jupyter Notebooks are a powerful open-source tool that allows users to create and share documents that contain live code, equations, visualizations, and narrative text. They are widely used in data ...

Matplotlib is a feature-rich module for producing a wide array of graphs, plots, charts, images, and animations. Since Matplotlib is not part of the Python core libraries (like the math and csv ...

So, you want to write programs in Python. Yay! Python is a great first language for learning how to write computer programs. If you’ve had some experience with other languages, you’ll no doubt find ...

The default Python install on Windows 11 comes packed with a variety of helpful tools and features. After a you successfully install Python on Windows, you should test out Python's built-in REPL tools ...

Quantum computing, a revolutionary paradigm, promises to solve problems that are computationally infeasible for classical systems. By leveraging the peculiar principles of quantum ...

It's not hard to write a Python package that can be installed into an interpreter or virtual environment with pip. This video shows a simple example of how to lay out a project's source code and set ...

basemap does not "pip install" cleanly under Python 3.13. Might be related to some of the pinned upper versions of package dependencies? This environment had numpy 1.26.4 installed (so not a numpy 2.0 ...