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Synopsis
Get the definitive handbook for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.9 and pandas 1.2, the third 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, and Jupyter in the process. It's ideal for analysts new to Python and for Python programmers new to data science and scientific computing.
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About the Author
Wes McKinney is an open source software developer focusing on data analysis tools. He created the Python pandas project and is a co-creator of Apache Arrow, his current development focus. He authored 2 editions of the reference book Python for Data Analysis. Wes is a Member of The Apache Software Foundation and also a PMC member for Apache Parquet. He is the director of Ursa Labs, an not-for-profit development group focused on data science tools for Python and R powered by Apache Arrow, built in partnership with RStudio. Previously, he worked for Two Sigma, Cloudera, and AQR Capital Management, and he was co-founder and CEO of the startup DataPad.
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Python for Data Analysis: Data Wrangling with pandas, NumPy, and Jupyter
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O'Reilly Media (edition 3), 2022
ISBN 10: 109810403X
ISBN 13: 9781098104030
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Python for Data Analysis: Data Wrangling with pandas, NumPy, and Jupyter
Published by
O'Reilly Media (edition 3), 2022
ISBN 10: 109810403X
ISBN 13: 9781098104030
Used
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Seller: BooksRun, Philadelphia, PA, U.S.A.
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Paperback. Condition: Very Good. 3. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting. Seller Inventory # 109810403X-8-1
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Python for Data Analysis: Data Wrangling with pandas, NumPy, and Jupyter 3rd Edition
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Python for Data Analysis Data Wrangling with pandas, NumPy, and Jupyter
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Python for Data Analysis : Data Wrangling With Pandas, Numpy, and Jupyter
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Python for Data Analysis: Data Wrangling with Pandas, Numpy, and Jupyter (Paperback or Softback)
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Python for Data Analysis 3e
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Paperback. Condition: New. Get the definitive handbook for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.10 and pandas 1.4, the third 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, 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.Use the Jupyter notebook and IPython shell for exploratory computingLearn basic and advanced features in NumPyGet started with data analysis tools in the pandas libraryUse flexible tools to load, clean, transform, merge, and reshape dataCreate informative visualizations with matplotlibApply the pandas groupby facility to slice, dice, and summarize datasetsAnalyze and manipulate regular and irregular time series dataLearn how to solve real-world data analysis problems with thorough, detailed examples. Seller Inventory # LU-9781098104030
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Python for Data Analysis: Data Wrangling with pandas, NumPy, and Jupyter
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Python for Data Analysis: Data Wrangling with pandas, NumPy, and Jupyter
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Python for Data Analysis : Data Wrangling With Pandas, Numpy, and Jupyter
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