Python Data Science Handbook: Essential Tools for Working with Data 1st Edition

4.5 out of 5 stars 154 ratings
ISBN-13: 978-1491912058
ISBN-10: 9781491912058
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Frequently bought together

  • Python Data Science Handbook: Essential Tools for Working with Data
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  • Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython
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  • Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems
Total price: $139.43
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From the Publisher

Data Science, Business Data Science from Scratch Data Science, big data R, Data Science, r programming Data Science ,Command Line Python, Data Science
Data Science for Business Data Science from Scratch Doing Data Science R for Data Science Data Science at the Command Line Python Data Science Handbook
What You Need to Know about Data Mining and Data-Analytic Thinking First Principles with Python Straight Talk from the Frontline Visualize, Model, Transform, Tidy, and Import Data Facing the Future with Time-Tested Tools Tools and Techniques for Developers

Editorial Reviews

About the Author

Jake VanderPlas is a long-time user and developer of the Python scientific stack. He currently works as an interdisciplinary research director at the University of Washington, conducts his own astronomy research, and spends time advising and consulting with local scientists from a wide range of fields.


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4.5 out of 5 stars
4.5 out of 5
154 customer ratings
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Reviewed in the United States on March 10, 2017
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101 people found this helpful
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Reviewed in the United States on June 4, 2017
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Reviewed in the United States on June 9, 2017
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Reviewed in the United States on June 10, 2017
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Reviewed in the United States on February 3, 2018
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Reviewed in the United States on March 11, 2018
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Top international reviews

Mike
4.0 out of 5 stars This is the introductory book for data programmers
Reviewed in the United Kingdom on August 13, 2018
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3 people found this helpful
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Paul Kinsvater
5.0 out of 5 stars Perfekt für Statistiker mit wenig Computer Science-Background
Reviewed in Germany on March 4, 2017
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Dre
3.0 out of 5 stars Knowledge delivery
Reviewed in the United Kingdom on December 22, 2018
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Daniel
5.0 out of 5 stars Good book for performing data analysis in Python.
Reviewed in the United Kingdom on July 29, 2019
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Vijay
4.0 out of 5 stars A must have reference tool
Reviewed in the United Kingdom on April 24, 2019
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Trading Central
3.0 out of 5 stars Good Starting Point If Reader is New to Python Data Science
Reviewed in Canada on May 28, 2017
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hans-peter-67
5.0 out of 5 stars Sehr gute Einführung
Reviewed in Germany on December 20, 2018
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Trac3R
4.0 out of 5 stars Zum Einstieg in Python perfekt
Reviewed in Germany on April 20, 2020
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Alexander
5.0 out of 5 stars Recommended!
Reviewed in Germany on June 3, 2018
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Szombathely
5.0 out of 5 stars Sehr gute Einführung in die Datenverarbeitung und Visualisierung mittels Python.
Reviewed in Germany on April 19, 2020
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Cliente Amazon
4.0 out of 5 stars Muy buen libro. Calidad de impresión algo mejorable
Reviewed in Spain on February 15, 2017
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2 people found this helpful
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np2k
4.0 out of 5 stars Great detailed book
Reviewed in Italy on July 28, 2017
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David
5.0 out of 5 stars it is a good book. Good examples
Reviewed in Canada on February 1, 2017
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Eqf
1.0 out of 5 stars It is printed in black and white
Reviewed in Spain on August 12, 2019
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Cliente de Amazon
5.0 out of 5 stars 👏👏👏👏
Reviewed in Mexico on June 2, 2018
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