Python Data Science Handbook: Essential Tools for Working with Data, (Paperback)
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Python Data Science Handbook: Essential Tools for Working with Data, (Paperback)
Quite simply, this is the must-have reference for scientific computing in Python.
Python Data Science Handbook: Essential Tools for Working with Data, (Paperback)
vare #: 67758848

Python Data Science Handbook: Essential Tools for Working with Data, (Paperback)

vare #: 67758848

NOK 677

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Quite simply, this is the must-have reference for scientific computing in Python.
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Det som utmerker seg

Comprehensive Guide
Offers an extensive overview of essential tools, techniques, and methodologies that empower users to work effectively with data in Python, catering to both beginners and seasoned data scientists.
Practical Examples
Includes hands-on examples and real-world applications, allowing readers to apply theoretical knowledge to practical scenarios, enhancing learning and retention of data science concepts.
Accessible Format
Presented in an easy-to-understand paperback format, making it ideal for on-the-go learning and referencing, ensuring that vital data science tools remain at readers' fingertips.

Produkt detaljer

Discover essential tools for working with data in the Python Data Science Handbook. Get the edition 2 paperback for all your data science needs. Shop now at Ubuy, a NORGE.
Book formatPaperback
Fiction/nonfictionNon-Fiction
GenreComputing & Internet
Publication dateJanuary, 2023
Pages588
Reading levelGeneral
SubgenreLanguages
Series titleNo Series
Edition2nd Edition
PublisherO'Reilly Media
Original languagesEnglish
LanguageEnglish
Is collectibleN
Recording time0 min
Retail packagingSingle Piece
Assembled product dimensions (l x w x h)6.90 x 1.30 x 9.10 in (17.5 x 3.3 x 23.1 cm)
Assembled product weight2.1 lb (950 grams)
Bisac subject headingComputers

Hvem passer produktet for?

Suitable For
  • Aspiring Data Scientists

    Ideal for beginners entering data science, providing foundational knowledge and practical tools for data analysis.

  • Analysts and Statisticians

    Useful for professionals looking to enhance data handling skills with Python and learn advanced analytical techniques.

  • Educators and Trainers

    Perfect resource for teaching data science concepts, offering clear explanations and coding examples for classroom use.

Not Suitable For
  • Complete Beginners

    May overwhelm those with no programming background, as it assumes a basic understanding of Python and programming concepts.

PRODUKTBESKRIVELSE

Python Data Science Handbook: Essential Tools for Working with Data, (Paperback)

About This Item

The Python Data Science Handbook: Essential Tools for Working with Data, 2nd Edition, is a must-have resource for anyone engaged in data science and analysis. This comprehensive handbook provides a practical guide to using Python to analyze and visualize data, making it an essential tool for professionals, students, and enthusiasts alike. With the exponential growth of data in recent years, it is imperative to have the right tools and skills to make sense of this information. Python has become the go-to programming language for data science, and this handbook is your ultimate companion on this exciting journey. Whether you are a beginner or an experienced data scientist, this paperback edition offers a wealth of knowledge and practical examples to help you master Python's data science capabilities.

From manipulating and cleaning data to exploring and visualizing it, this handbook covers all essential aspects of data science. With Python Data Science Handbook, you will learn how to use Python libraries such as NumPy, Pandas, Matplotlib, and Scikit-learn, which are widely used in the field. These libraries provide powerful tools for data manipulation, analysis, and modeling, allowing you to perform complex operations with ease. Additionally, this handbook covers key concepts in data science, including statistical analysis, machine learning, and data visualization. You will learn how to build and evaluate machine learning models, perform advanced statistical tests, and create insightful visualizations to communicate your findings effectively. Whether you are studying data science, transitioning to a career in the field, or simply looking to enhance your analytical skills, the Python Data Science Handbook provides the knowledge and techniques you need to succeed.

Explore the endless possibilities of Python for data science and unlock the full potential of your data. Get your hands on the Python Data Science Handbook: Essential Tools for Working with Data, 2nd Edition, and take your data analysis skills to new heights. Start your journey into the world of data science today.

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Jake Vanderplas All Books Editorial Review

Python Data Science Handbook: Essential Tools for Working with Data, (Paperback) is a comprehensive guide published by O'Reilly Media in January 2023. With 588 pages, this non-fiction book serves as an essential resource for anyone interested in the field of data science. It's formatted as a paperback, making it accessible and easy to read. The handbook covers vital tools necessary for effectively working with data. Readers appreciate its clarity and detailed examples, which enhance the learning experience. This 2nd edition remains relevant, ensuring readers have the most up-to-date information in a rapidly evolving field.

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Fordeler

  • Comprehensive guide for data science tools
  • Clear and detailed examples enhance learning
  • Great for readers at all skill levels
  • Well-structured and organized content
  • Published by a reputable source

Ulemper

  • No digital version available for e-readers

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NOK 677

Bestill nå, så får du den omkring Fredag, Oktober 16

Antall:

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Funksjoner og fordeler

  • Comprehensive guide to essential Python libraries for data science.
  • Ideal for scientists and data professionals familiar with Python.
  • Covers tools like IPython, NumPy, Pandas, Matplotlib, and Scikit-Learn.
  • Perfect for daily tasks in data manipulation, cleaning, and visualization.
  • Learn to build statistical and machine learning models effectively.
  • Updated edition offers all-in-one resource for data science enthusiasts.

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