NumPy for Data Analysis

Erscheinungsjahr 2022
ISBN: 978-93-91818-35-7
Verlag: PHI Learning

Buch, Englisch, 228 Seiten, Paperback

NumPy for Data Analysis is a practical and beginner-friendly introduction to data analysis which covers the basics of NumPy (Numerical Python), a data science tool in Python. This classic book covers the basic to advanced topics of NumPy, which is the backbone of various Python libraries. It helps students to acquire programming skills in the Python package NumPy and perform mathematical and statistical operations.

Key Features - This textbook prepares students to:

- Learn basic and advanced features in NumPy.
- Solve real-world data analysis problems through detailed examples.
- Use NumPy to write code in more concise and clear manner.
- Write programs related to 4-D arrays.

This book is primarily meant for a programming language course taught to undergraduate students of Computer Science and Engineering, Information Technology, and Electronics and Communication Engineering. Software Engineers can also use the book as a reference for better understanding, how their programs interact with the system within less time compared to all other programming languages.

Autoren/Hrsg.

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik
• Mathematik | Informatik EDV | Informatik EDV & Informatik Allgemein
• Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik

Inhaltsverzeichnis

- Preface
- 1. Introduction
- 2. Creation of NumPy Array
- 3. Data Types and String Operations
- 4. Indexing, Slicing and Advanced Indexing
- 5. Arithmetic Operator
- 6. Broadcasting
- 7. Array Manipulation Functions
- 8. Joining and Splitting of Arrays
- 9. Sorting and Searching Elements of nd Array
- 10.Insert and Delete Elements of nd Array
- 11.Matrix Multiplication Using dot() Function
- 12.Linear Algebra Function from LINALG Module
- 13.Unique Function and IO Operations with NumPy
- 14.Basic Statistics with NumPy
- 15.NumPy Mathematical and Financial Functions
- 16.Functional Programming
- Index

Über Autor(innen)

Madala Hima Jyothi, is with the Computer Science and Engineering Department, Dhanekula Institute of Engineering and Technology, Andhra Pradesh. Her areas of interest include Data Warehousing and Mining, Internet of Things, Data Analytics, and Data Visualization. She has co-authored a book on Python Programming.

Sundaradasu Suresh, is Professor and Head, Computer Science and Engineering Department, Dhanekula Institute of Engineering and Technology, Andhra Pradesh. His research interests include Image Processing, Data Analysis, and Python. He has co-authored a book on Python Programming.