Library/Computer and Information Sciences/Python for Data Analysis: Data Wrangling with pandas, NumPy & Jupyter
Python for Data Analysis: Data Wrangling with pandas, NumPy & Jupyter
By Wes McKinney
Chapters
Chapter 1Preliminaries
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View summary and questionsChapter 2Python Language Basics, IPython, and Jupyter Notebooks
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View summary and questionsChapter 3Built-In Data Structures, Functions, and Files
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View summary and questionsChapter 4NumPy Basics: Arrays and Vectorized Computation
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View summary and questionsChapter 5Getting Started with pandas
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View summary and questionsChapter 6Data Loading, Storage, and File Formats
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View summary and questionsChapter 7Data Cleaning and Preparation
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View summary and questionsChapter 8Data Wrangling: Join, Combine, and Reshape
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View summary and questionsChapter 9Plotting and Visualization
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View summary and questionsChapter 10Data Aggregation and Group Operations
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View summary and questionsChapter 11Time Series
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View summary and questionsChapter 12Introduction to Modeling Libraries in Python
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View summary and questionsChapter 13Data Analysis Examples
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View summary and questionsChapter 14Advanced NumPy
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View summary and questionsChapter 15More on the IPython System
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View summary and questionsChapter 16Index
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