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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
Languages
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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

Review of items installed with Anaconda

Anaconda installs more than 200 packages and several IDEs. Some of the widely used packages that get installed are: NumPy, pandas, scipy, scikit-learn, matplotlib, seaborn, beautifulsoup4, nltk, and dask.

Packages, which are not installed along with Anaconda, could be installed manually through Conda, Anaconda's package manager. Any package upgradation can also be done through Conda. Conda will fetch the packages from the Anaconda repository, which is huge and has more than 1400 packages. The following commands will install and update packages through conda:

  • To install, use conda install pandas
  • To update, use conda update pandas

The following IDEs are installed with Anaconda:

  • JupyterLab
  • Jupyter Notebook
  • QTConsole
  • Spyder

The IDEs could be launched either through Conda or Anaconda Navigator.

Anaconda Navigator is a GUI that lets...

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