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In today fast-paced financial landscape, harnessing the power of machine learning algorithms is a promessing approach for decision-making in the stock market. However, before diving into the realm of predictive analytics and algorithmic trading, one must first master the foundational step - acquiring reliable and comprehensive stock market data. In this introductory guide, we'll explore how to get started with fetching stock market data using Python, laying the groundwork for subsequent machine learning applications in finance.