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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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Tools
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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 FREE CHAPTER
2. Introduction to pandas and Data Analysis 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

Usage pattern and adoption of pandas

The popularity of Python has skyrocketed over the years, especially after 2012; a lot of this can be attributed to the popularity of pandas. Python-related questions make up around 12% of the total questions asked from high-income countries on Stack Overflow, a popular platform for developers to ask questions and get answers from other people in the community about how to get things done and fix bugs in different programming languages. Given that there are hundreds of programming languages, one language occupying 12% of market share is an extraordinary achievement:

The most popular data analytics tools based on a survey of Kaggle users conducted in 2017-18

According to this survey conducted by Kaggle, 60% of the respondents said that they were aware of or have used Python for their data science jobs.

According to the data recorded by Stack...

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