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Textbook in PDF format

This comprehensive e-book offers 100 hands-on exercises in Python for data analysis and visualization.
Each exercise is accompanied by detailed explanations and visual results, making it an ideal resource for both beginners and experienced programmers.
The book covers a wide range of topics, including data manipulation, statistical analysis, and various visualization techniques.
Readers will learn how to use popular Python libraries such as Pandas, NumPy, Matplotlib, and Seaborn to process and present data effectively.
The practical approach ensures that users can immediately apply their newfound skills to real-world data science projects.
With step-by-step instructions and clear examples, this guide helps readers build a strong foundation in Python-based data analysis and visualization.
Whether you're a student, data scientist, or business analyst, this e-book will enhance your ability to extract insights and create compelling visual representations of data