Pandas for Everyone: Python Data Analysis: Python Data Analysis (Addison-Wesley Data & Analytics Series)
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Pandas for Everyone: Python Data Analysis: Python Data Analysis (Addison-Wesley Data & Analytics Series)
Pandas for Everyone brings together practical knowledge and insight for solving real problems with Pandas, even if you’re new to Python data analysis
Pandas for Everyone: Python Data Analysis: Python Data Analysis (Addison-Wesley Data & Analytics Series)
Nº de artículo: 90353655

Pandas for Everyone: Python Data Analysis: Python Data Analysis (Addison-Wesley Data & Analytics Series)

88% of respondents would recommend this to a friend

Nº de artículo: 90353655

UYU 3229

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Pandas for Everyone brings together practical knowledge and insight for solving real problems with Pandas, even if you’re new to Python data analysis
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What Stands Out

Comprehensive Guide
Pandas for Everyone offers a complete introduction to data analysis using Python, ensuring readers gain a robust understanding of pandas library functionalities and real-world application for all skill levels.
Practical Examples
The book includes practical examples that illustrate concepts in real-time, making it easier for readers to grasp data manipulation and analysis techniques, effectively bridging theory with hands-on experience.
Accessible Language
Written in clear, approachable language, the book is designed for non-programmers and beginners, eliminating jargon while encouraging engagement and confidence in using Python for data analysis.

Detalles de producto

Shop Pandas for Everyone: Python Data Analysis: Python Data Analysis (Addison-Wesley Data & Analytics Series) online at a best price in Uruguay. 0134546938
  • An example-rich introduction to Pandas data analysis in Python
  • Allows automation of data analysis tasks regardless of size or complexity
  • Covers data cleaning, manipulation, reshaping, and filtering
  • Provides guidance on fitting models, clustering, and exploration
  • Includes tips on performance, scalability, and using other Python data analysis tools
  • Updated second edition available with code and library updates to Python 3.9
Publisher Addison-Wesley Professional
Publication date 26 Dec. 2017
Edition 1st
Language English
Print length 412 pages
ISBN-10 0134546938
ISBN-13 978-0134546933
Item weight 680 g
Dimensions 17.81 x 2.36 x 23.19 cm
Part of series Addison-Wesley Data & Analytics

Who Should Buy?

Suitable For
  • Data Science Beginners

    Ideal for individuals new to data science who want to learn essential Pandas skills hands-on.

  • Analysts and Researchers

    Suitable for professionals who perform data analysis regularly and need an easy-to-follow, practical guide.

  • Self-Learners

    Great for those who prefer self-study and interactive learning experiences with real-world data examples.

Not Suitable For
  • Advanced Users

    Experienced data professionals may find the content basic and lacking in depth on advanced functionalities.

DESCRIPCIÓN DEL PRODUCTO

Pandas for Everyone: Python Data Analysis: Python Data Analysis (Addison-Wesley Data & Analytics Series)

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Preguntas y respuestas de los clientes

  • Pregunta: Do I need programming experience to understand the book?

    Respuesta: Yes, some programming experience is recommended.
  • Pregunta: What kind of datasets are used in the book?

    Respuesta: The book uses realistic datasets that cover a wide range of industries and applications.
  • Pregunta: Is the book suitable for advanced Python users?

    Respuesta: No, the book is aimed at beginners and intermediate Python users who want to learn data analysis with Pandas.

Data Mining Editorial Review

Pandas For Everyone: Python Data Analysis is an insightful guide published by Addison-Wesley Professional on December 26, 2017. This 412-page book thoroughly covers data analysis using Python and the Pandas library, making it a valuable resource for both beginners and experienced users. Readers appreciate the clear explanations and real-world examples that enhance the learning experience, often mentioning how it complements existing works like McKinney's book. One welcoming feature is its accessibility, as no prior knowledge of GitHub is required; necessary files are provided for hands-on practice. It's a highly recommended addition for anyone interested in mastering data analysis with Python, especially for university courses.

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ventajas

  • Clear explanations on data manipulation
  • Excellent real-world examples provided
  • No prior GitHub knowledge needed
  • Files for practice are included
  • Highly recommended for students and professionals

Contras

  • A second edition would be beneficial for updates

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características y beneficios

  • Learn how to use the open source Pandas library for Python data analysis
  • Solve real-world problems incrementally with practical examples
  • Clean and transform datasets for effective decision-making
  • Fit models for prediction, inference, and exploration
  • Improve performance and scalability with advanced techniques
  • Compare and select the best models for your data

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