Python is popular in algorithmic trading due to its simplicity, flexibility, and robust ecosystem. Python's extensive libraries and frameworks, such as Pandas for data manipulation, NumPy for numerical calculations, and matplotlib for data visualization, along with powerful tools for backtesting like Backtrader and QuantConnect, make it ideal for developing and testing trading strategies.