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Pandas Cookbook: Practical recipes for scientific computing, time series, and exploratory data analysis using Python
Unlock the full potential of pandas 2.x and beyond with practical recipes designed to help you excel in your data analysis projects.
Pandas Cookbook: Practical recipes for scientific computing, time series, and exploratory data analysis using Python
Item #: 101958092

Pandas Cookbook: Practical recipes for scientific computing, time series, and exploratory data analysis using Python

Item #: 101958092

HUF 20978

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Unlock the full potential of pandas 2.x and beyond with practical recipes designed to help you excel in your data analysis projects.
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What Stands Out

Comprehensive Recipes
Offers a wide range of practical recipes that simplify complex data processing tasks, making it accessible for both beginners and experienced data scientists in Python.
Time Series Expertise
Specifically addresses time series analysis techniques, providing readers with valuable insights and tools to handle real-world financial and scientific data effectively.
Hands-On Learning
Encourages experiential learning through hands-on coding examples, enhancing readers' practical skills in exploratory data analysis and scientific computing using Python.

Product Details

Shop Pandas Cookbook: Practical recipes for scientific computing, time series, and exploratory data analysis using Python online at a best price in Hungary. 1836205872
Publisher Packt Publishing
Publication date October 31, 2024
Edition 3rd ed.
Language English
Print length 404 pages
ISBN-10 1836205872
ISBN-13 978-1836205876
Item Weight 1.52 pounds (690 grams)
Dimensions 7.5 x 0.91 x 9.25 inches (19.1 x 2.3 x 23.5 cm)

Who Should Buy?

Suitable For
  • Data Analysts

    Ideal for data analysts looking to enhance their skills in using Pandas for data manipulation and analysis.

  • Students

    Beneficial for students studying data science who want to learn practical applications of Python and Pandas.

  • Professionals

    Suitable for professionals in data science fields needing quick references for effective data handling and analysis.

Not Suitable For
  • Beginners

    Not suitable for complete beginners, as it assumes some prior knowledge of Python and data analysis concepts.

Product Description

Pandas Cookbook: Practical recipes for scientific computing, time series, and exploratory data analysis using Python

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Data Mining Editorial Review

Pandas Cookbook: Practical recipes for scientific computing, time series, and exploratory data analysis using Python is an excellent resource for those starting their journey in data management with Python. This third edition, published by Packt Publishing, offers 404 pages of clear, concise, and practical examples to help novices understand the Pandas library's capabilities. Readers praise its step-by-step instructional approach, which effectively covers various aspects of data manipulation, including data selection, file access, and visualization. Despite some concerns about the grayscale print quality, the included PDF and the wealth of knowledge provided make it a recommended tool for developers, engineers, and data scientists alike.

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Pros

  • Easy to follow and practical examples
  • Ideal for beginners and novice data scientists
  • Covers a wide range of data management topics
  • Includes PDF for better readability
  • Encourages understanding of advanced concepts

Product Price History

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