Verwandte Artikel zu Python for Data Analysis, 2e
Inhaltsangabe
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.
- Use the IPython shell and Jupyter notebook for exploratory computing
- Learn basic and advanced features in NumPy (Numerical Python)
- Get started with data analysis tools in the pandas library
- Use flexible tools to load, clean, transform, merge, and reshape data
- Create informative visualizations with matplotlib
- Apply the pandas groupby facility to slice, dice, and summarize datasets
- Analyze and manipulate regular and irregular time series data
- Learn how to solve real-world data analysis problems with thorough, detailed examples
Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.
Über die Autorin bzw. den Autor
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 a quantitative analyst at AQR Capital Management and Python consultant before founding DataPad, a data analytics company, in 2013. He graduated from MIT with an S.B. in Mathematics.
„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.
Suchergebnisse für Python for Data Analysis, 2e
Beispielbild für diese ISBN
Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython
Verlag:
O'Reilly Media (edition 2), 2017
ISBN 10: 1491957662
ISBN 13: 9781491957660
Gebraucht
Paperback
Anbieter: BooksRun, Philadelphia, PA, USA
Verkäuferbewertung 5 von 5 Sternen
Paperback. Zustand: Fair. 2. Ship within 24hrs. Satisfaction 100% guaranteed. APO/FPO addresses supported. Artikel-Nr. 1491957662-7-1
Anzahl: 1 verfügbar
Beispielbild für diese ISBN
Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython
Verlag:
O'Reilly Media (edition 2), 2017
ISBN 10: 1491957662
ISBN 13: 9781491957660
Gebraucht
Paperback
Anbieter: BooksRun, Philadelphia, PA, USA
Verkäuferbewertung 5 von 5 Sternen
Paperback. Zustand: Good. 2. Ship within 24hrs. Satisfaction 100% guaranteed. APO/FPO addresses supported. Artikel-Nr. 1491957662-11-1
Anzahl: 2 verfügbar
Beispielbild für diese ISBN
Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython
Verlag:
O'Reilly Media (edition 2), 2017
ISBN 10: 1491957662
ISBN 13: 9781491957660
Gebraucht
Paperback
Anbieter: BooksRun, Philadelphia, PA, USA
Verkäuferbewertung 5 von 5 Sternen
Paperback. Zustand: Very Good. 2. Ship within 24hrs. Satisfaction 100% guaranteed. APO/FPO addresses supported. Artikel-Nr. 1491957662-8-1
Anzahl: 2 verfügbar
Beispielbild für diese ISBN
Python for Data Analysis: Data Wrangling With Pandas, Numpy, and Ipython
Anbieter: Anybook.com, Lincoln, Vereinigtes Königreich
Verkäuferbewertung 5 von 5 Sternen
Zustand: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has soft covers. In good all round condition. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,1000grams, ISBN:9781491957660. Artikel-Nr. 5577396
Anzahl: 1 verfügbar
Beispielbild für diese ISBN
Python for Data Analysis: Data Wrangling With Pandas, NumPy, and IPython (2nd Edn)
Anbieter: Anybook.com, Lincoln, Vereinigtes Königreich
Verkäuferbewertung 5 von 5 Sternen
Zustand: Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has soft covers. In good all round condition. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,1000grams, ISBN:9781491957660. Artikel-Nr. 9795033
Anzahl: 1 verfügbar
Beispielbild für diese ISBN
Python for Data Analysis : Data Wrangling with Pandas, NumPy, and IPython
Verlag:
O'Reilly Media, Incorporated, 2017
ISBN 10: 1491957662
ISBN 13: 9781491957660
Gebraucht
Softcover
Anbieter: Better World Books, Mishawaka, IN, USA
Verkäuferbewertung 5 von 5 Sternen
Zustand: Good. Used book that is in clean, average condition without any missing pages. Artikel-Nr. 39834650-75
Anzahl: 1 verfügbar
Beispielbild für diese ISBN
Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython
Anbieter: Magers and Quinn Booksellers, Minneapolis, MN, USA
Verkäuferbewertung 5 von 5 Sternen
paperback. Zustand: Very Good. 2nd Edition. May have light to moderate shelf wear and/or a remainder mark. Complete. Clean pages. Artikel-Nr. 1382860
Anzahl: 1 verfügbar
Beispielbild für diese ISBN
Python for Data Analysis, 2e: Data Wrangling with Pandas, NumPy, and IPython
Verlag:
O'Reilly Media, United States, Sebastopol, 2017
ISBN 10: 1491957662
ISBN 13: 9781491957660
Gebraucht
Paperback
Anbieter: WorldofBooks, Goring-By-Sea, WS, Vereinigtes Königreich
Verkäuferbewertung 5 von 5 Sternen
Paperback. Zustand: Very Good. 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. Youll 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. Its 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 IPython shell and Jupyter notebook for exploratory computing Learn basic and advanced features in NumPy (Numerical Python) Get started with data analysis tools in the pandas library Use flexible tools to load, clean, transform, merge, and reshape data Create informative visualizations with matplotlib Apply the pandas groupby facility to slice, dice, and summarize datasets Analyze and manipulate regular and irregular time series data Learn how to solve real-world data analysis problems with thorough, detailed examples. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged. Artikel-Nr. GOR009612684
Anzahl: 3 verfügbar
Beispielbild für diese ISBN
Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython
Anbieter: Goodwill Industries of VSB, Oxnard, CA, USA
Verkäuferbewertung 5 von 5 Sternen
Zustand: Good. The book is nice and 100% readable, but the book has visible wear which may include stains, scuffs, scratches, folded edges, sticker glue, torn on front page,highlighting, notes, and worn corners. Artikel-Nr. 4JQZV10006UX
Anzahl: 2 verfügbar
Foto des Verkäufers
Python for Data Analysis Data Wrangling with Pandas, Numpy, and Ipython
Anbieter: True Oak Books, Highland, NY, USA
Verkäuferbewertung 5 von 5 Sternen
Paperback. Zustand: Good. Book contains markings and notes from previous owner. Spill stain to edge of pages. - Good overall condition. General wear. No major blemishes.; - 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. Artikel-Nr. TOB208-23496-OS-1.68
Anzahl: 1 verfügbar