Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython
McKinney, Wes
Sold by Goodwill, Brooklyn Park, MN, U.S.A.
AbeBooks Seller since June 26, 2006
Used - Soft cover
Condition: Used - Good
Quantity: 1 available
Add to basketSold by Goodwill, Brooklyn Park, MN, U.S.A.
AbeBooks Seller since June 26, 2006
Condition: Used - Good
Quantity: 1 available
Add to basketCorners are bent. Stains on outside cover/inside the book. There are tears on paperback. Cover/Case has some rubbing and edgewear. Access codes, CDs, slipcovers and other accessories may not be included.
Seller Inventory # 2Y6RUU000H0P_ns
Get complete instructions for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.6, the second edition of this hands-on guide is packed with practical case studies that show you how to solve a broad set of data analysis problems effectively. You’ll learn the latest versions of pandas, NumPy, IPython, and Jupyter in the process.
Written by Wes McKinney, the creator of the Python pandas project, this book is a practical, modern introduction to data science tools in Python. It’s ideal for analysts new to Python and for Python programmers new to data science and scientific computing. Data files and related material are available on GitHub.
Wes McKinney is a New York?based software developer and entrepreneur. After finishing his undergraduate degree in mathematics at MIT in 2007, he went on to do quantitative finance work at AQR Capital Management in Greenwich, CT. Frustrated by cumbersome data analysis tools, he learned Python and started building what would later become the pandas project. He's now an active member of the Python data community and is an advocate for the use of Python in data analysis, finance, and statistical computing applications.
Wes was later the co-founder and CEO of DataPad, whose technology assets and team were acquired by Cloudera in 2014. He has since become involved in big data technology, joining the Project Management Committees for the Apache Arrow and Apache Parquet projects in the Apache Software Foundation. In 2016, he joined Two Sigma Investments in New York City, where he continues working to make data analysis faster and easier through open source software.
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