PREFACE
Financial markets are complex systems involving many participants, interconnected entities, as well as models, methods and technologies. In recent years, the financial sector has experienced an “explosion” due to the catastrophic growth in information volumes. Classical methods of financial data analysis need to gain competitive ground. Therefore, financial analysts increasingly use IT technologies, particularly Python programming tools, for quick decision-making and profit generation.
Python, a high-level programming language, has become a staple in various fields, including finance. Its straightforward syntax, vast user community, and extensive range of libraries and tools make it a practical and powerful tool for financial data analysis. ...
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