
Numeric Python
Python Data Analysis with NumPy, Pandas, and Matplotlib
Bernd Klein(Author)
Hanser Publications (Publisher)
1st Edition
Published on 15. May 2026
Book
Hardback
572 pages
978-1-56990-495-4 (ISBN)
Description
- Numerical computing with NumPy arrays, dtypes, vectorized operations
- Data analysis using Pandas DataFrames, grouping, pivoting, and time series
- Scientific visualization with Matplotlib plots, layouts, and contour graphics
- Real-world data work: files, missing data, binning, and indexing
- Applied Python: image processing, probability, and practical projects
This book teaches the Python fundamentals required to solve numerical problems in data science and machine learning.
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.
WHAT'S INSIDE //
Numerical operations on multidimensional arrays/Broadcasting and universal functions (ufuncs)/Discrete & continuous plots/Bar charts, histograms, and contour plots/Series and DataFrames/Working with Excel, CSV, and JSON files/Handling missing data (NaN)/Data visualization techniques/Image processing funda mentals/Budget tracking and incomeexpenditure analysis
More details
Language
English
Place of publication
München
Germany
Product notice
Paperback (trade)
Unsewn / adhesive bound
Illustrations
In full color
Dimensions
Height: 236 mm
Width: 173 mm
Thickness: 37 mm
Weight
950 gr
ISBN-13
978-1-56990-495-4 (9781569904954)
Schweitzer Classification
Other editions
Additional editions

E-Book
05/2026
1st Edition
Hanser Publications
€59.99
Available for download

E-Book
05/2026
1st Edition
Hanser Publications
€59.99
Available for download
Person
Author
Bernd Klein is a computer scientist and founder of Bodenseo. He is the author of Einführung 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.
ISNI: 0000 0004 3497 9608
ISNI: 0000 0004 3497 9608