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Mastering pandas

You're reading from   Mastering pandas A complete guide to pandas, from installation to advanced data analysis techniques

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Product type Paperback
Published in Oct 2019
Publisher
ISBN-13 9781789343236
Length 674 pages
Edition 2nd Edition
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Author (1):
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Ashish Kumar Ashish Kumar
Author Profile Icon Ashish Kumar
Ashish Kumar
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Table of Contents (21) Chapters Close

Preface 1. Section 1: Overview of Data Analysis and pandas
2. Introduction to pandas and Data Analysis FREE CHAPTER 3. Installation of pandas and Supporting Software 4. Section 2: Data Structures and I/O in pandas
5. Using NumPy and Data Structures with pandas 6. I/Os of Different Data Formats with pandas 7. Section 3: Mastering Different Data Operations in pandas
8. Indexing and Selecting in pandas 9. Grouping, Merging, and Reshaping Data in pandas 10. Special Data Operations in pandas 11. Time Series and Plotting Using Matplotlib 12. Section 4: Going a Step Beyond with pandas
13. Making Powerful Reports In Jupyter Using pandas 14. A Tour of Statistics with pandas and NumPy 15. A Brief Tour of Bayesian Statistics and Maximum Likelihood Estimates 16. Data Case Studies Using pandas 17. The pandas Library Architecture 18. pandas Compared with Other Tools 19. A Brief Tour of Machine Learning 20. Other Books You May Enjoy

How Python and pandas fit into the data analytics pipeline

The Python programming language is one of the fastest-growing languages today in the emerging field of data science and analytics. Python was created by Guido van Rossum in 1991, and its key features include the following:

  • Interpreted rather than compiled
  • Dynamic type system
  • Pass by value with object references
  • Modular capability
  • Comprehensive libraries
  • Extensibility with respect to other languages
  • Object orientation
  • Most of the major programming paradigms: procedural, object-oriented, and, to a lesser extent, functional

For more information, refer to the following article on Python at https://www.python.org/about/.

Among the characteristics that make Python popular for data science are its very user-friendly (human-readable) syntax, the fact that it is interpreted rather than compiled (leading to faster development...

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Mastering pandas - Second Edition
Published in: Oct 2019
Publisher:
ISBN-13: 9781789343236
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