The first part focuses on NumPy as the foundation of numerical programming, covering arrays as the core data type, numerical operations, broadcasting, and universal functions, as well as statistics, probability, Boolean masking, and file handling.

The second part is devoted to data visualization with Matplotlib, ranging from core concepts to line, bar, histogram, and contour plots. The third part introduces Pandas, including Series and DataFrames, importing and exporting Excel, CSV, and JSON files, handling missing data, and visualization directly within Pandas.

The fourth part presents practical applications, including a household budget project, an incomeexpenditure analysis, and an introduction to image processing.

The book concludes with a fifth part containing solutions to the numerous exercises that accompany almost every one of the 33 chapters.

About the Author

Bernd Klein is a computer scientist and founder of Bodenseo. He is the author of Einf�hrung in Python, Numerisches Python, and Funktionale Programmierung mit Python, all published by Carl Hanser Verlag. He is a renowned Python instructor and has taught around 700 courses worldwide. His educational websites attract more than six million visitors each year.

"About this title" may belong to another edition of this title.

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