Hands-on NumPy for Numerical Analysis: Unlock NumPy with Google Colab for High-Performance Numerical Computing and Optimizing Numerical Data Analysis

Hands-on NumPy for Numerical Analysis: Unlock NumPy with Google Colab for High-Performance Numerical Computing and Optimizing Numerical Data Analysis (English Edition)

Hands-on NumPy for Numerical Analysis: Unlock NumPy with Google Colab for High-Performance Numerical Computing and Optimizing Numerical Data Analysis (English Edition)

Author: Rituraj Dixit (Author)

ASIN: ‎ B0F1XT1FQ8

Publisher finelybook 出版社:‏ ‎Orange Education Pvt Ltd

Edition 版本:‏ ‎ N/A

Publication Date 出版日期:‏ ‎ 2025-03-18

Language 语言: ‎ English

Print Length 页数: ‎ 357 pages

ISBN-10: ‎ 9348107283

ISBN-13: ‎9789348107282

Book Description

Unlock the Power of NumPy to Accelerate Data Analysis and Computing.

Book Description


NumPy is the backbone of numerical computing in Python, powering everything from scientific research to machine learning and AI applications. Mastering NumPy is essential for anyone working with data, enabling faster computations, efficient data structures, and seamless integration with advanced analytical tools.

Hands-on NumPy for Numerical Analysis is a comprehensive guide that takes you from the fundamentals of NumPy to its advanced applications. Through hands-on examples and real-world scenarios, this book equips data scientists, analysts, and machine learning engineers with the practical skills needed to manipulate large datasets and optimize performance. Key topics include array operations, linear algebra, signal processing, and machine learning implementations, all covered with detailed explanations and step-by-step guidance.

Whether you’re building your foundation in numerical computing or looking to enhance your data analysis workflows, this book will give you a competitive edge. Don’t get left behind—harness the full power of NumPy to supercharge your data science and machine learning projects today!

Table of Contents
1. Getting Started with NumPy
2. Understanding NumPy Array
3. Data Type (dtype) in NumPy Array
4. Indexing and Slicing in NumPy Array
5. NumPy Array Operations
6. NumPy Array I/O
7. Linear Algebra with NumPy
8. Advanced Numerical Computing
9. Exploratory Data Analysis
10. Performance Optimization
11. Implementing a Machine Learning Algorithm
Index

Amazon Page

下载地址

PDF, (conv), EPUB | 85 MB | 2025-03-28
下载地址 Download解决验证以访问链接!
打赏
未经允许不得转载:finelybook » Hands-on NumPy for Numerical Analysis: Unlock NumPy with Google Colab for High-Performance Numerical Computing and Optimizing Numerical Data Analysis

评论 抢沙发

觉得文章有用就打赏一下

您的打赏,我们将继续给力更多优质内容

支付宝扫一扫

微信扫一扫