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.
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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.
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Da: World of Books (was SecondSale), Montgomery, IL, U.S.A.
Paperback. Condizione: Very Good. Despite the explosive growth of data in industry after industry, learning and accessing data analysis tools has remained a challenge. This pragmatic guide demonstrates the nuts and bolts of manipulating, processing, cleaning, and crunching data with Python. Codice articolo 00110727241
Quantità: 2 disponibili
Da: World of Books (was SecondSale), Montgomery, IL, U.S.A.
Paperback. Condizione: Good. Despite the explosive growth of data in industry after industry, learning and accessing data analysis tools has remained a challenge. This pragmatic guide demonstrates the nuts and bolts of manipulating, processing, cleaning, and crunching data with Python. Codice articolo 00110029030
Quantità: 6 disponibili
Da: World of Books (was SecondSale), Montgomery, IL, U.S.A.
Paperback. Condizione: Fair. Despite the explosive growth of data in industry after industry, learning and accessing data analysis tools has remained a challenge. This pragmatic guide demonstrates the nuts and bolts of manipulating, processing, cleaning, and crunching data with Python. Codice articolo CIN1449319793A
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Da: Ucarstore, Saint Louis, MO, U.S.A.
Condizione: Good. Codice articolo 11-06-2026_MG_1.0M_H0001NMU
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Da: BooksRun, Philadelphia, PA, U.S.A.
Paperback. Condizione: Fair. 1. The item might be beaten up but readable. May contain markings or highlighting, as well as stains, bent corners, or any other major defect, but the text is not obscured in any way. Codice articolo 1449319793-7-1
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Da: BooksRun, Philadelphia, PA, U.S.A.
Paperback. Condizione: Very Good. 1. 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. Codice articolo 1449319793-11-1
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Da: Goodwill Books, Hillsboro, OR, U.S.A.
Condizione: acceptable. Fairly worn, but readable and intact. If applicable: Dust jacket, disc or access code may not be included. Codice articolo GICWV.1449319793.A
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Da: World of Books Inc, Montgomery, IL, U.S.A.
Paperback. Condizione: Good. Despite the explosive growth of data in industry after industry, learning and accessing data analysis tools has remained a challenge. This pragmatic guide demonstrates the nuts and bolts of manipulating, processing, cleaning, and crunching data with Python. Codice articolo CIN1449319793G
Quantità: 6 disponibili
Da: World of Books Inc, Montgomery, IL, U.S.A.
Paperback. Condizione: Fair. Despite the explosive growth of data in industry after industry, learning and accessing data analysis tools has remained a challenge. This pragmatic guide demonstrates the nuts and bolts of manipulating, processing, cleaning, and crunching data with Python. Codice articolo CIN1449319793A
Quantità: 2 disponibili
Da: World of Books Inc, Montgomery, IL, U.S.A.
Paperback. Condizione: Very Good. Despite the explosive growth of data in industry after industry, learning and accessing data analysis tools has remained a challenge. This pragmatic guide demonstrates the nuts and bolts of manipulating, processing, cleaning, and crunching data with Python. Codice articolo CIN1449319793VG
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