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

Format:

Book

Author/Creator:

Dixit, Rituraj.

Language:

English

Subjects (All):

Numerical analysis--Computer programs.

Numerical analysis.

Python (Computer program language).

Physical Description:

1 online resource (194 pages)

Edition:

1st ed.

Place of Publication:

Delhi : Orange Education PVT Ltd, 2025.

Summary:

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!.

Contents:

Cover Page

Title Page

Copyright Page

Dedication Page

About the Author

About the Technical Reviewer

Acknowledgements

Preface

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Errata

Table of Contents

1. Getting Started with NumPy

Introduction

Structure

Introduction to NumPy

The Development and Rationale Behind NumPy

Importance of NumPy

Difference between NumPy Array and Python List

Understanding and Setting up Workspace

Introduction to Google Colab

Creating a Google Colab Account

Working with Google Colab Notebook

Creating a New Notebook

Writing and Executing the Code

Saving a Copy of the Notebook on Google Drive

Downloading Notebook

Uploading Notebook

Conclusion

2. Understanding NumPy Array

Introduction Generated by AI.

Notes:

Description based on publisher supplied metadata and other sources.

Part of the metadata in this record was created by AI, based on the text of the resource.

ISBN:

9789348107282

9348107283

OCLC:

1511105147