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Learning programming doesn't have to be complicated, overly technical, or detached from real life. In *The Quick Guide to Data Science: Python Made Easy*, you'll discover how to develop a solid foundation in Python in a practical, clear, and accessible way, understanding the essential concepts that underpin programming logic and task automation. Throughout the book, you'll learn about variables, data types, conditions, loops, functions, lists, dictionaries, and simple applications that show how Python can be used to organize information, automate processes, and support analysis in everyday professional life. Ideal for beginners, students, analysts, managers, professionals in career transition, and readers who want to enter the world of programming without intimidation, this volume presents an objective and progressive journey to transform curiosity into practical competence.
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