دانلود کتاب پایتون عددی – تحلیل داده‌های پایتون با NumPy، Pandas و Matplotlib

Data-driven methods have become a central force in contemporary software development. Concepts such as Big Data and Machine Learning now play a decisive role across research, industry, and applied engineering. As a result, both institutions and individual practitioners face a fundamental question: which programming language is best suited for data-oriented and numerical applications? In recent years, Python has consistently emerged as one of the most widely used programming languages in this domain. Its rapid development has established it as a core technology for data analysis, scientific computing, and artificial intelligence. While Python was not originally designed for numerical computation, its ecosystem has evolved to fill this gap with remarkable success. This success is largely attributable to powerful extension libraries such as NumPy, SciPy, Matplotlib, and Pandas. Together, these tools have transformed Python into a robust platform that rivals specialized numerical and statistical software packages, both in academic research and in industrial practice. This book provides a structured and accessible introduction to numerical and data oriented programming with Python, with a particular focus on NumPy, Matplotlib, and Pandas. It is aimed at readers who already have a basic command of Python and are ready to deepen their skills in scientific and data-driven applications. The book is therefore well suited for students, researchers, engineers, and professionals seeking to extend their Python knowledge into the realm of numerical computing and data analysis. The present volume is based on the successful German-language book Numerisches Python by the same author. The first edition was published on 18 June 2021, and a third, thoroughly revised edition appeared on 14 November 2025. This English-language edition is a translation of the third edition and includes several necessary adaptations for an international readership.