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
товар №: 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

товар №: 46205243

UZS 619942

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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.

Информация о продукте

Shop Hands-On Data Analysis with NumPy and pandas: Implement Python packages from data manipulation to processing online at a best price in Uzbekistan. 1789530792
  • Implement Python packages from data manipulation to processingKey Features: - Explore the tools you need to become a data analyst - Discover practical examples to help you grasp data processing concepts - Walk through hierarchical indexing and grouping for data analysis Book Description: Python, a multi-paradigm programming language, has become the language of choice for data scientists for visualization, data analysis, and machine learning.Hands-On Data Analysis with NumPy and Pandas starts by guiding you in setting up the right environment for data analysis with Python, along with helping you install the correct Python distribution. In addition to this, you will work with the Jupyter notebook and set up a database. Once you have covered Jupyter, you will dig deep into Python's NumPy package, a powerful extension with advanced mathematical functions. You will then move on to creating NumPy arrays and employing different array methods and functions. You will explore Python's pandas extension which will help you get to grips with data mining and learn to subset your data. Last but not the least you will grasp how to manage your datasets by sorting and ranking them.By the end of this book, you will have learned to index and group your data for sophisticated data analysis and manipulation.What You Will Learn: - Understand how to install and manage Anaconda - Read, sort, and map data using NumPy and pandas - Find out how to create and slice data arrays using NumPy - Discover how to subset your DataFrames using pandas - Handle missing data in a pandas DataFrame - Explore hierarchical indexing and plotting with pandas Who this book is for: Hands-On Data Analysis with NumPy and Pandas is for you if you are a Python developer and want to take your first steps into the world of data analysis. No previous experience of data analysis is required to enjoy this book.
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.

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Вопросы и ответы клиентов

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

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

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

    отвечать: 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.

Customer Reviews & Ratings

13 оценки клиентов
  • 5 звезда
    32%
  • 4 звезда
    24%
  • 3 звезда
    10%
  • 2 звезда
    17%
  • 1 звезда
    17%

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Плюсы

  • 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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UZS 619942

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Особенности и преимущества

  • 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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