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Mastering Python Scientific Computing

You're reading from Mastering Python Scientific Computing A complete guide for Python programmers to master scientific computing using Python APIs and tools

Product type Paperback

Published in Sep 2015

Publisher

ISBN-13 9781783288823

Length 300 pages

Edition 1st Edition

Languages

Python

Tools

NumPy

Concepts

Data Analysis

Author (1):

Kumar Mehta

View More author details

Table of Contents (12) Chapters

Preface

1. The Landscape of Scientific Computing – and Why Python?

2. A Deeper Dive into Scientific Workflows and the Ingredients of Scientific Computing Recipes FREE CHAPTER

3. Efficiently Fabricating and Managing Scientific Data

4. Scientific Computing APIs for Python

5. Performing Numerical Computing

6. Applying Python for Symbolic Computing

7. Data Analysis and Visualization

8. Parallel and Large-scale Scientific Computing

9. Revisiting Real-life Case Studies

10. Best Practices for Scientific Computing

Index

Chapter 4. Scientific Computing APIs for Python

In this chapter, we will have a comprehensive discussion on the features and capabilities of the various scientific computing APIs and toolkits in Python. Besides the basics, we will also discuss some example programs for each of the APIs. As symbolic computing is a relatively different area of computerized mathematics, we have allocated a special subsection within the SymPy section to discuss the basics of the computerized algebra system.

In this chapter, we will cover the following topics:

Scientific numerical computing using NumPy and SciPy
Symbolic computing using SymPy
A computerized algebra system
Introduction to SymPy and its modules
A few simple exemplary programs in SymPy
Data analysis, visualization, and interactive computing

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Authors (1)

Kumar Mehta

Kumar Mehta

Hemant Kumar Mehta is a distributed and scientific computing enthusiast. He has more than 13 years of experience of teaching, research, and software development. He received his BSc (in computer science) Hons., master of computer applications degree, and PhD in computer science from Devi Ahilya University, Indore, India in 1998, 2001, and 2011, respectively. He has experience of working in diverse international environments as a software developer in MNCs. He is a post-doctorate fellow at an international university of high reputation. Hemant has published more than 20 highly cited research papers in reputed national and international conferences and journals sponsored by ACM, IEEE, and Springer. He is the author of Getting Started with Oracle Public Cloud, Packt Publishing. He is also the coauthor of a book named Internet and Web Technology, published by Kaushal Prakashan Mandir, Indore. He earned his PhD in the field of cloud computing and big data. Hemant is a member of ACM (Special Interest Group on High-performance Computing Education: SIGHPC-Edu), senior member of IEEE (the computer society, STC on cloud computing, and the big data technical committee), and a senior member of IACSIT, IAENG, and MIR Labs.

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