Python for Data Analysis : Data Wrangling with Pandas Numpy and Ipython
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Author:MCKINNEY Wes
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ISBN:9781491957660
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Publication Date:November 2017
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Edition:2
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Pages:522
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Binding:Paperback
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Publisher:O-Reilly
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Country of Publication:USA


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Python for Data Analysis : Data Wrangling with Pandas Numpy and Ipython
- Unit price
- / per
-
Author:MCKINNEY Wes
-
ISBN:9781491957660
-
Publication Date:November 2017
-
Edition:2
-
Pages:522
-
Binding:Paperback
-
Publisher:O-Reilly
-
Country of Publication:USA
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A Back Order button means that we don’t have the book in stock at our store. It may already be on order – or we can order it for you from a publisher or distributor at no additional cost.
As we source items from around the globe, a back-order can take anywhere from 5 days to several weeks to arrive, depending on the title.
To check how long this might take, you’re welcome to contact us and we can provide an ETA or any other information you need. We recommend checking the timeframe before committing to an online order.
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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.
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Author: MCKINNEY WesISBN: 9781491957660Publication Date: November 2017Edition: 2Pages: 522Binding: PaperbackPublisher: O-ReillyCountry of Publication: USA
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.-
Author: MCKINNEY WesISBN: 9781491957660Publication Date: November 2017Edition: 2Pages: 522Binding: PaperbackPublisher: O-ReillyCountry of Publication: USA
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