Book Image

Mastering Python Scientific Computing

Book Image

Mastering Python Scientific Computing

Overview of this book

Table of Contents (17 chapters)
Mastering Python Scientific Computing
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
Index

Chapter 3. Efficiently Fabricating and Managing Scientific Data

This chapter is all about data for scientific computations. It introduces the concepts of this data, and then covers the various toolkits used to manage this data and the operations to be performed on it. After that, various data formats and random-number-based techniques for generating synthetic numerical data are discussed.

In this chapter, we will cover the following topics:

  • The basics of data, information, and knowledge

  • The concepts of various pieces of data storage software and tools

  • Operations that can be performed on the data

  • Details of the standard formats for scientific data

  • A discussion on ready-to-use datasets

  • Synthetic data generation using random numbers

  • The idea of large-scale datasets