Title:
Python数据分析基础教程：NumPy学习指南（第2版）
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Description: This book is an introductory tutorial to NumPy, focusing on NumPy and related Python science computing libraries such as SciPy and Matplotlib.
This book covers NumPy installation, array objects, common functions, matrix operations, linear algebra, financial functions, window functions, quality control, etc.
Matplotlib drawing, SciPy introduction, Pygame and so on, covering a wide range. In addition, Ivan Idris gives simple points for each knowledge point.
Short and clear examples, and practical scenarios (such as stock data analysis) for most of the examples, help beginners get started while improving
The readability of this book.
This book is suitable for scientists, engineers, programmers, and quantitative management analysts looking for high-quality open source computing libraries.
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| Filename | Size | Date |
|---|
| Python数据分析基础教程：NumPy学习指南（第2版）.pdf | 5620861 | 2018-07-26 |
