Hands-On Data Analysis with NumPy and pandas: Implement Python packages from data manipulation to processing
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Hands-On Data Analysis with NumPy and pandas: Implement Python packages from data manipulation to processing
By the end of this book, you will have learned to index and group your data for sophisticated data analysis and manipulation.
Hands-On Data Analysis with NumPy and pandas: Implement Python packages from data manipulation to processing
Nº de artículo: 46205243

Hands-On Data Analysis with NumPy and pandas: Implement Python packages from data manipulation to processing

82% of respondents would recommend this to a friend

Nº de artículo: 46205243

UYU 2170

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By the end of this book, you will have learned to index and group your data for sophisticated data analysis and manipulation.
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What Stands Out

Comprehensive Learning
Master data analysis techniques using NumPy and Pandas through hands-on exercises, ensuring a practical understanding of these essential libraries for data manipulation and analysis.
Real-World Applications
Designed with real-world datasets and scenarios, this guide prepares learners to tackle actual data challenges, enhancing their skills and marketability in data-driven industries.
User-Friendly Approach
Offers a clear, step-by-step methodology, making complex concepts accessible for beginners, while still providing depth for experienced users seeking to refine their data analysis expertise.

Detalles de producto

Shop Hands-On Data Analysis with NumPy and pandas: Implement Python packages from data manipulation to processing online at a best price in Uruguay. 1789530792
Publisher Packt Publishing
Publication date June 29, 2018
Language English
Print length 168 pages
ISBN-10 1789530792
ISBN-13 978-1789530797
Item Weight 10.5 ounces (297.68 grams)
Dimensions 7.5 x 0.38 x 9.25 inches (19.1 x 1 x 23.5 cm)

Who Should Buy?

Suitable For
  • Data Analysts

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

  • Beginners in Python

    Great for beginners who want to learn data analysis with hands-on examples in Python, specifically using NumPy and Pandas.

  • Machine Learning Enthusiasts

    Beneficial for those interested in applying data analysis techniques to improve machine learning models and data preprocessing.

Not Suitable For
  • Advanced Users

    Experienced data scientists may find the content too basic and not challenging enough for their advanced needs.

DESCRIPCIÓN DEL PRODUCTO

Hands-On Data Analysis with NumPy and pandas: Implement Python packages from data manipulation to processing

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Preguntas y respuestas de los clientes

  • Pregunta: Do I need prior experience in data analysis to use this book?

    Respuesta: No, this book is designed for those with no previous experience in data analysis.
  • Pregunta: What Python packages will I learn about?

    Respuesta: You will learn about the NumPy and pandas packages, essential for data analysis.
  • Pregunta: Is this book suitable for beginners?

    Respuesta: Yes, it's specifically tailored for beginner Python developers starting in data analysis.

Data Modeling & Design Editorial Review

Hands-On Data Analysis with NumPy and pandas: Implement Python packages from data manipulation to processing provides a solid foundation for individuals looking to enhance their data analysis skills. The book effectively covers essential topics such as data cleaning using Python, making it a valuable resource for those with prior knowledge in data analysis. However, readers have noted challenges with readability, especially concerning code snippets, which can be difficult to follow. The author presents various practical examples, but some may find themselves needing to seek additional online resources to fully grasp certain concepts, which detracts from the learning experience.

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ventajas

  • Delivers exactly what is promised in the title
  • Introductory writing style suitable for beginners
  • Includes plenty of practical examples
  • Focuses on essential data cleaning techniques
  • Supplemental references for practical application

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características y beneficios

  • Learn to set up a Python data analysis environment.
  • Master the powerful NumPy package for advanced mathematical functions.
  • Discover how to create and manipulate data arrays efficiently.
  • Explore the pandas extension for effective data mining and subsetting.
  • Understand hierarchical indexing and data plotting techniques.
  • Ideal for Python developers venturing into data analysis without prior experience.

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