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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):

Hemant Kumar Mehta

View More author details

Table of Contents (12) Chapters

Preface

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

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

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

Summary

In this chapter, we started off by discussing the basic concepts and architecture of matplotlib. After that, we discussed some sample programs used to generate different types of plots. We also covered the methods of saving these plots in files of different formats. Then we discussed the use of pandas in data analysis.

Furthermore, we discussed the data structures of pandas. After covering the uses of data structures in depth, you learned how to perform various other related activities for data analysis. In the last part, we discussed the concepts, uses, and applications of interactive computing using IPython.

In the next chapter, we will have a comprehensive discussion on using Python for scientific computing that involves parallel and high-performance computing. The chapter will cover the basic concepts of parallel and high-performance computing, and the available frameworks and technologies. Later, it will provide an in-depth coverage of the use of Python for parallel and high-performance...

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Authors (1)

Hemant 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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