Название: Numeric Python: Python Data Analysis with NumPy, Pandas, and Matplotlib
Автор: Bernd Klein
Издательство: Hanser
Год: 2026
Страниц: 576
Язык: английский
Формат: pdf (true)
Размер: 19.2 MB
This book teaches the Python fundamentals required to solve numerical problems in Data Science and Machine Learning. Python is a general-purpose programming language used in a wide variety of fields – such as system administration, web development, computational linguistics, and, as already mentioned, numerical programming, where speed and memory usage are critical. Pure Python – that is, without optimized libraries – is not competitive with specialized tools like MATLAB or R for demanding numerical tasks. The performance of the algorithms used is of utmost importance in numerical applications. For this reason, Python relies on its powerful modules: NumPy, SciPy, Matplotlib, and Pandas. As a result, Python is now one of the leading languages in numerical programming – and is often more efficient than MATLAB or R. 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.