Python is one of the most preferred programming languages for algorithmic trading due to its simplicity, vast library ecosystem, and ease of use. For aspiring algo traders, learning Python opens up the ability to automate strategies, pull real-time data, analyze historical performance, and execute trades via broker APIs. In this module, beginners are introduced to Python basics including data types (integers, strings, floats), control structures (if-else, loops), functions, and object-oriented programming. Libraries like pandas and numpy are essential for data manipulation and analysis, while matplotlib and seaborn help with data visualization. You’ll also explore the basics of importing market data using libraries like yfinance or connecting with broker APIs like Zerodha's Kite Connect or Upstox. Practical examples include reading CSV files of historical trades, calculating moving averages, and creating basic signal generators. The goal is not to make you a full-fledged developer but to enable you to use Python as a tool for building and testing trading strategies. With consistent practice and real-world projects, Python can significantly enhance your edge in the market.