Python for Data Analysis,2nd Edition
Python for Data Analysis: Data Wrangling with Pandas,NumPy,and IPython
by: Wes McKinney
ISBN-10: 1491957662
ISBN-13: 9781491957660
Edition 版次: 2
Publication Date 出版日期: 2017-09-25
Print Length 页数: 550
Book Description
By finelybook
Looking for complete instructions on manipulating,processing,cleaning,and crunching structured data in Python? The second edition of this hands-on guide—updated for Python 3.5 and Pandas 1.0—is packed with practical cases studies that show you how to effectively solve a broad set of data analysis problems,using Python libraries such as NumPy,pandas,matplotlib,and IPython.
Written by Wes McKinney,the main author of the pandas library,Python for Data Analysis also serves as a practical,modern introduction to scientific computing in Python for data-intensive applications. It’s ideal for analysts new to Python and for Python programmers new to scientific computing.
Contents
Chapter 1 Preliminaries
Chapter 2 Python Language Basics,IPython,and Jupyter Notebooks
Chapter 3 Built-in Data Structures,Functions,and Files
Chapter 4 NumPy Basics: Arrays and Vectorized Computation
Chapter 5 Getting Started with pandas
Chapter 6 Data Loading,Storage,and File Formats
Chapter 7 Data Cleaning and Preparation
Chapter 8 Data Wrangling: Join,Combine,and Reshape
Chapter 9 Plotting and Visualization
Chapter 10 Data Aggregation and Group Operations
Chapter 11 Interlude: Data Analysis Examples
Chapter 12 Time Series
Chapter 13 Advanced NumPy
Chapter 14 Using Modeling Libraries with pandas
Chapter 15 Examples Data Sets
Appendix Advanced IPython and Jupyter
