Thinking about getting started with data science or maybe just want a better way to handle your Python projects? Anaconda Python is a super popular choice, and for good reason. It bundles a lot of ...

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, ...

Abstract: Many works have recently proposed the use of Large Language Model (LLM) based agents for performing ‘repository level’ tasks, loosely defined as a set of tasks whose scopes are greater than ...

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 ...

What is Pip? Why Do You Need It? Pip is a package manager for Python. It allows you to install and manage hundreds of Python libraries listed in the Python Package ...

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 ...

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 ...

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 ...