This article explains how to install a specific branch of a GitHub repository using pip, particularly focusing on the ‘devel’ branch, which is typically used for development purposes rather than stable releases.
This article introduces the FISH shell, a user-friendly interactive shell designed to improve the command line experience. It highlights its installation on MacOS and basic usage.
This article discusses MarkItDown, a tool specifically designed to effortlessly convert docx and pptx files into markdown format. It highlights various Python libraries that serve as dependencies for this conversion process, enabling users to handle documents and multimedia content effectively.
The article discusses the issue of permission errors when attempting to install packages from GitHub while using the apache/airflow:2.10.2 Docker image. It presents a solution that involves temporarily switching to the root user to install ‘git’ and then reverting to the airflow user for further installations.
This article discusses the benefits of using TypedDict in Python for enhancing code clarity when storing complex data. It highlights how TypedDict helps developers by providing suggestions through their IDE, while also noting its limitations regarding strict type enforcement.
This article introduces commitollama, an alternative to GitHub Copilot designed for generating commit messages using local LLMs, ensuring privacy for confidential projects. It outlines the installation process for the commitollama extension in VSCode and necessary setup steps to start using it effectively.
This article covers using Ollama with OpenCommit for generating commit messages locally. It includes an overview of running Ollama in a Docker container, instructions for using the Ollama CLI, and how to combine Ollama with OpenCommit for generating commit messages.
This article provides a step-by-step guide on how to install Go on macOS and configure the system’s PATH variable to include Go binaries.
This article introduces psutil, an open-source Python package that provides system information about CPU, memory, disks, and networks. It covers the installation of psutil and demonstrates useful functions for monitoring CPU and memory usage, as well as how to integrate it into Python code using decorators.
Building your own Python package is beneficial for maintaining large projects, as it helps manage code that is otherwise scattered across directories.