Bitesize pandas
Bitesize pandas
A brief introduction to python data
About the Book
About the Author
Table of Contents
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- 0.1 Introduction
- 0.2 A little about pandas
- 0.3 A little about the book
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1. Installation and setup
- 1.1 Installing with Anaconda
- 1.2 Checking the install
- 1.3 Updating a package
- 1.4 Conda environments
- 1.5 Alternative ways to install pandas
- 1.6 ipython
- 1.7 Getting help and contributing
- 1.8 Summary
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2. The basic data-types
- 2.1 Data structures
- 2.2 Displaying datastructures
- 2.3 Selecting and slicing data
- 2.4 Calling bool on pandas object
- 2.5 Missing Data, NaN
- 2.6 Boolean Masking
- 2.7 Summary
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3. Reading in and writing out data
- 3.1 Conventions
- 3.2 Python dictionaries
- 3.3 Reading and writing CSV files
- 3.4 Parsing date columns
- 3.5 Reading to and from the clipboard
- 3.6 Saving and loading between sessions
- 3.7 JSON
- 3.8 HTML tables
- 3.9 XML
- 3.10 Excel
- 3.11 SQL
- 3.12 Web sources
- 3.13 Summary
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4. Wrangling and reshaping
- 4.1 coming soon
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