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 ...

In this tutorial, we build an Advanced OCR AI Agent in Google Colab using EasyOCR, OpenCV, and Pillow, running fully offline with GPU acceleration. The agent includes a preprocessing pipeline with ...

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 ...

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 ...

In this tutorial, we will guide you through building an advanced financial data reporting tool on Google Colab by combining multiple Python libraries. You’ll learn how to scrape live financial 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 ...

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 ...

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 ...