Python Quantitative Finance & Stock Analysis Course (Pandas, NumPy, SciPy) 🐍 - Python Package Guide: Create, Publish & Install a Custom Stock Analysis Library with Pip | Part 14 📦

@MattMacarty ## 🐍 Python Packaging Guide: Create, Publish & Install a Custom Stock Analysis Library with Pip | Part 14 Welcome to **Part 14**—the final video in the Python Stock Analysis Course! This video is all about **deploying your code**! We will take all the functions and classes developed throughout this series and structure them into a formal **Python package**. This is a critical skill for any serious developer, allowing you to install your code using `pip` for use in any project environment. You will learn the necessary file structure and how to create the configuration files that tell Python and `pip` how to handle your code, preparing it for local installation or eventual publication on the Python Package Index (PyPI). ### 🎯 Key Learning Outcomes: 1. **Package Directory Structure:** Learn how to organize your source code files (`.py`) into the correct hierarchy, including the parent folder,