Articoli correlati a Python for Data Analysis
Sinossi
Python for Data Analysis is concerned with the nuts and bolts of manipulating, processing, cleaning, and crunching data in Python. It is also a practical, modern introduction to scientific computing in Python, tailored for data-intensive applications. This is a book about the parts of the Python language and libraries you’ll need to effectively solve a broad set of data analysis problems. This book is not an exposition on analytical methods using Python as the implementation language.
Written by Wes McKinney, the main author of the pandas library, this hands-on book is packed with practical cases studies. It’s ideal for analysts new to Python and for Python programmers new to scientific computing.
- Use the IPython interactive shell as your primary development environment
- Learn basic and advanced NumPy (Numerical Python) features
- Get started with data analysis tools in the pandas library
- Use high-performance tools to load, clean, transform, merge, and reshape data
- Create scatter plots and static or interactive visualizations with matplotlib
- Apply the pandas groupby facility to slice, dice, and summarize datasets
- Measure data by points in time, whether it’s specific instances, fixed periods, or intervals
- Learn how to solve problems in web analytics, social sciences, finance, and economics, through detailed examples
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
Informazioni sull?autore
Wes McKinney is the main author of pandas, the popular open sourcePython library for data analysis. Wes is an active speaker andparticipant in the Python and open source communities. He worked as aquantitative analyst at AQR Capital Management and Python consultantbefore founding DataPad, a data analytics company, in 2013. Hegraduated from MIT with an S.B. in Mathematics.
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
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Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython
Da: Austin Goodwill 1101, Austin, TX, U.S.A.
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Python for Data Analysis : Data Wrangling with Pandas, NumPy, and IPython
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O'Reilly Media, Incorporated, 2012
ISBN 10: 1449319793
ISBN 13: 9781449319793
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Python for Data Analysis
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O?Reilly, 2012
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ISBN 13: 9781449319793
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Python for Data Analysis
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Python for Data Analysis: Data Wrangling with Pandas, Numpy, and Ipython
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ISBN 10: 1449319793
ISBN 13: 9781449319793
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Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython Agile Tools for Real-World Data
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ISBN 10: 1449319793
ISBN 13: 9781449319793
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Broschiert. Condizione: Gut. 452 Seiten; Das hier angebotene Buch stammt aus einer teilaufgelösten Bibliothek und kann die entsprechenden Kennzeichnungen aufweisen (Rückenschild, Instituts-Stempel.); der Buchzustand ist ansonsten ordentlich und dem Alter entsprechend gut. In ENGLISCHER Sprache. Sprache: Englisch Gewicht in Gramm: 765. Codice articolo 2191099
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Python for Data Analysis: Data Wrangling with Pandas, NumPy, and Ipython
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Python for Data Analysis Data Wrangling with Pandas, Numpy, and Ipython
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Soft cover. Condizione: Good. Book contains highlighting from previous owner. Book contains markings and notes from previous owner. Otherwise in great condition. ; - We're committed to your satisfaction. We offer free returns and respond promptly to all inquiries. Your item will be carefully wrapped in bubble wrap and securely boxed. All orders ship on the same or next business day. Buy with confidence. Codice articolo HVD-14683-OS-0
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Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython
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Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython
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