Essential AI Tools and Libraries - Installation Guide for Python, Git, C++, FFmpeg, CUDA, and PyTorch

Dive into a comprehensive tutorial on installing and configuring essential AI tools and libraries for Windows 10. Learn how to set up Python, Git, Visual Studio C++ Compile tools, FFmpeg, CUDA, and PyTorch. Master the command-line interface, manage environment variables, and create virtual environments. Explore Git commands, install Stable Diffusion Web UI, and troubleshoot common installation errors. Gain insights on working with multiple Python versions, managing PyTorch installations with different CUDA versions, and optimizing your development environment for AI applications. Perfect for beginners and experienced developers looking to streamline their AI development workflow.

Introduction of what you will learn in Essential AI Tools and Libraries A Guide
What is command line interface cmd and how to open it
How to check and verify your default installed Python
How to verify whether Git is installed or not
How open and edit your environment path and why it is extremely important
How to edit system environment variables
How to install Python on Windows
What configuration and settings you need when installing Python for AI applications
How to see where the system is finding my installed default Python
How to install Git on Windows
How to properly install Visual Studio C++ Compile tools to solve C++ 14.0 or greater is required
InsightFace install error and how we will fix it
How to disable pip cache or purge to redownload and fix erroneous pip files download or corrupted pip cache
How to install Git Large which is necessary for Git LFS
How to check if FFmpeg is installed and set on Windows
How to install and setup FFmpeg on Windows
How to add downloaded FFmpeg exes to the system environment variables path
How will system look system variables path with which order, which Python version will get used
How to verify if your FFmpeg setup is working correctly or not
How to install CUDA Toolkit libraries on Windows
How to find other and previous CUDA Toolkit versions
Where CUDA Toolkit libraries path are added in System Environment Variables path
All about Git commands such as checkout, clone, pull, stash, pop
How to install Automatic1111 Stable Diffusion Web UI properly
How to open a CMD in that current drive directly
How to do a git clone to download the Automatic1111 Web UI or any GitHub repository
How to do a git checkout to switch different branches such as dev branch
Explanation of different branches in GitHub repository, example Automatic1111 repo
How to do git pull to update and verify latest version of a repo
How to switch back to main / master branch
When and how to use git stash and git stash pop commands
How to fix please commit your changes or stash them before you merge error
How to get back your modified file after git pull and overwrite
Python virtual environment / venv operations
How to start installation of Automatic1111 SD Web UI after git clone
How to activate any Python virtual environment / venv, example venv of Automatic1111 Web UI
How to install latest PyTorch / Torch version to Automatic1111 SD Web UI
How to uninstall any library from a VENV
How to list specific versions of any Python library to install any specific version from list
How to install specific version of PyTorch with GPU and CUDA
How to fix PyTorch / Torch with only CPU support installation
How to install older versions of PyTorch with previous CUDA and GPU
How to list certain CUDA version compatible PyTorch / Torch versions
If you are not able to find your specific version library it is due to your Python version
How to compose a virtual environment / VENV with Python
How to install different Python versions at the same time
How to copy file path directly in Windows
How to use second installed Python version
How to generate specific Python version having virtual environment / VENV
How to change your default Python version
How to install runpodctl or any exe to your system cmd