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, ...

In this tutorial, we begin by setting up a compact yet capable AI agent that runs smoothly, leveraging Hugging Face transformers. We integrate dialog generation, question‑answering, sentiment analysis ...

Google Colab is a really handy tool for anyone working with machine learning and data stuff. It’s free, it runs in the cloud, and it lets you use Python without a lot of fuss. Whether you’re just ...

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 ...

In this tutorial, we walk you through setting up a fully functional bot in Google Colab that leverages Anthropic’s Claude model alongside mem0 for seamless memory recall. Combining LangGraph’s ...

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 ...

Installing Python and related applications on a system without a network connection isn’t easy, but you can do it. Here’s how. The vast majority of modern software development revolves around one big ...

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 ...

I have been using Pip package manager to install and manage Python packages inside the isolated python virtual environments in my Debian Linux 11. After upgrading Debian 11 to Debian 12, the Pip ...