A software engineer and book author with many years of experience, I have dedicated my career to the art of automation. A software engineer and book author with many years of experience, I have ...

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 ...

Optical Character Recognition (OCR) is a powerful technology that converts images of text into machine-readable content. With the growing need for automation in data extraction, OCR tools have become ...

Now that we’ve seen how to read data from a file, and how to generate some descriptive statistics for the data, it makes sense that we should address visual presentation of data. For this we will use ...

We’re just going to cover the basics here. Why? Because Matplotlib has thousands of features and it has excellent documentation. So we’re just going to dip a toe in the waters.

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 ...