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Python for Data Analysis: Data Wrangling with pandas, NumPy, and Jupyter
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Python for Data Analysis: Data Wrangling with pandas, NumPy, and Jupyter
Get the definitive handbook for manipulating, processing, cleaning, and crunching datasets in Python.
Python for Data Analysis: Data Wrangling with pandas, NumPy, and Jupyter
artikal br.: 121215549

Python for Data Analysis: Data Wrangling with pandas, NumPy, and Jupyter

90% of respondents would recommend this to a friend

artikal br.: 121215549

RSD 8612

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What Stands Out

Comprehensive Coverage
Offers in-depth insights into data analysis techniques using pandas and NumPy, making complex concepts accessible to beginners and professionals alike.
Practical Examples
Includes real-world scenarios and hands-on exercises, enhancing learning and applying skills effectively in data-driven projects.
Updated Content
The 3rd edition addresses the latest advancements in Jupyter and Python, ensuring readers are equipped with current, relevant tools and practices for data analysis.

Детаљи о производу

Shop Python for Data Analysis: Data Wrangling with pandas, NumPy, and Jupyter online at a best price in Serbia. B0B9HY3WX7
Publisher O'Reilly Media
Publication date September 20, 2022
Edition 3rd
Language English
Print length 579 pages
ISBN-10 109810403X
ISBN-13 978-1098104030
Item Weight 1.95 pounds (880 grams)
Dimensions 7 x 1.5 x 9 inches (17.8 x 3.8 x 22.9 cm)
Country of OriginThis item will be imported from US
Date First AvailableAugust 18, 2022
What is in the boxPython for Data Analysis:... For more details, please check description/product details

Who Should Buy?

Suitable For
  • Beginner Data Scientists

    Ideal for new data scientists looking to build practical skills using pandas and NumPy in data analysis.

  • Students and Learners

    Suitable for university students studying data science or analytics who seek a comprehensive understanding of tools.

  • Analysts Transitioning to Python

    Experienced analysts familiar with other tools can transition effectively to Python using this practical and hands-on guide.

Not Suitable For
  • Python Beginners

    Not ideal for complete beginners in programming; prior knowledge of Python is suggested for best understanding.

OPIS PROIZVODA

Python for Data Analysis: Data Wrangling with pandas, NumPy, and Jupyter

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  • Pitanje: Како купити Python for Data Analysis: Data Wrangling with на мрежи од Убуи-а?

    Odgovor: Лако је куповати Python for Data Analysis: Data Wrangling with на мрежи од Убуи-а.. Морате само да потражите производ, изаберете начин испоруке приликом одјављивања и да га испоручите на вашу локацију.
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    Odgovor: Да, у Убуи Serbia овај производ је доступан за куповину по разумној цени.. Python for Data Analysis: Data Wrangling with није доступан локално, али можете нам веровати у наше услуге експресне испоруке.
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Data Mining Editorial Review

Python for Data Analysis: Data Wrangling with pandas, NumPy, and Jupyter is a must-read for anyone venturing into the realm of data manipulation. This book stands out due to its accessibility, with simple syntax that is ideal for learners and seasoned programmers alike. Readers appreciate its well-organized structure which allows flexibility in jumping to topics of interest, making it perfect for project-based learning. While it lacks end-of-chapter exercises, the extensive datasets provided encourage practice, promoting a deeper understanding of data wrangling concepts. The integration of other libraries, combined with the foundational work on pandas and NumPy, makes this text a comprehensive resource for cultivating data analysis skills.

Customer Reviews & Ratings

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Прос

  • Simple and straightforward syntax for easy understanding
  • Well-organized structure allows jumping between chapters
  • Provides numerous datasets for hands-on practice
  • Integrates additional packages seamlessly with pandas and NumPy
  • Engaging practical examples enhance the learning experience

Цонс

  • Pages may be fragile and susceptible to wear

Product Price History

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RSD 8612

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Карактеристике и предности

  • Comprehensive guide for Python data manipulation and analysis.
  • Updated for Python 3.10 and pandas 1.4 with practical case studies.
  • Perfect for both new analysts and Python programmers diving into data science.
  • Written by Wes McKinney, the creator of the pandas project.
  • Focuses on hands-on techniques to solve data analysis problems effectively.
  • Supports continued learning with data files and materials available on GitHub.

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