Python3 interpreter

Commands for installing any version of python 3.x and creating/managing virtual environments in a standard location.

PowerShell advanced functions for enabling different versions of Python.

PowerShell wrapper around Python for .NET to invoke Python from PowerShell

PowerShell DSC Resource for Python Package management (pip)

PowerShell module for interacting with Python on Windows

Powershell DSC Configuration Script for installing Python versions 3.4.3, 3.4.2, 2.7.9, and 2.7.10 on Windows

Automatic virtual environment activation for https://github.com/np-8/venvlink

Select a Python distribution to use within a PowerShell environment.

The module PSVirtualEnv is a set of powershell extensions to Ian Bickings virtualenv tool in python. The module includes wrappers for creating and deleting virtual environments and otherwise managing your development workflow, making it easier to work on more than one project at a time without introducing conflicts in their dependencies.

The module PSPocs is a set of powershell extensions to papis, a highly extensible command-line based bibliography and document manager.

Python tab completion.The data of completion comes from json,and you can modify the json file to change the completion as required. For more information, please visit the project: https://github.com/abgox/PS-completions

Automates the workflow of setting up and using a development environment. - Create templates to perform operations like set environment variables, IDE workspace settings, etc. - Create aliases specific to the project to script routine operations - Easily switch between development environments

Handy tool to encrypt and decrypt files on the fly as well as perform password hashing

Creates shell (PowerShell, Bash, CMD) scripts to launch the given Python/PowerShell file without typing an extension.

Convenient cmdlets and aliases which wrap `python3`.

Easily run perl/python/js script under powershell/windows

This script simulates a team of AI-powered Agents with RAG, each with a unique role in executing a Python project. User input is processed by one AI specialist, who performs their task and passes the result to the next AI Agent. This process continues until all tasks are completed, leveraging AI to enhance efficiency and accuracy in project executi... More info