Python Stock Tracker: Modules, Fundamentals, and CLI Flags with argparse

1. 1Split a large Python file into smaller modules to improve readability and maintainability
2. 2Implement caching fundamentals to store and retrieve data efficiently
3. 3Use the argparse library to add command line flags and parse user input
4. 4Configure the stock tracker to fetch and display real-time data
5. 5Test the application with different CLI flags and inputs to ensure its functionality

This tutorial is beneficial for software engineers and data analysts who want to improve their Python skills and build a stock tracker application. It can be used by a team to develop a scalable and maintainable project

💡 Splitting code into modules and using caching can significantly improve the performance and maintainability of a Python application

Build a Python stock tracker with modular code, caching, and CLI flags using argparse!