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Big Data Analysis with Python : Combine Spark and Python to Unlock the Powers of Parallel Computing and Machine Learning by Ankit Shukla, Ivan Marin and Sarang VK (2019, Trade Paperback)

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Big Data Analysis with Python, ISBN 1789955289, ISBN-13 9781789955286, Brand New, Free shipping in the US

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Get to grips with processing large volumes of data and presenting it as engaging, interactive insights using Spark and Python. Key Features Get a hands-on, fast-paced introduction to the Python data science stack Explore ways to create useful metrics and statistics from large datasets Create detailed analysis reports with real-world data Book Description Processing big data in real time is challenging due to scalability, information inconsistency, and fault tolerance. Big Data Analysis with Python teaches you how to use tools that can control this data avalanche for you. With this book, you'll learn practical techniques to aggregate data into useful dimensions for posterior analysis, extract statistical measurements, and transform datasets into features for other systems. The book begins with an introduction to data manipulation in Python using pandas. You'll then get familiar with statistical analysis and plotting techniques. With multiple hands-on activities in store, you'll be able to analyze data that is distributed on several computers by using Dask. As you progress, you'll study how to aggregate data for plots when the entire data cannot be accommodated in memory. You'll also explore Hadoop (HDFS and YARN), which will help you tackle larger datasets. The book also covers Spark and explains how it interacts with other tools. By the end of this book, you'll be able to bootstrap your own Python environment, process large files, and manipulate data to generate statistics, metrics, and graphs. What you will learn Use Python to read and transform data into different formats Generate basic statistics and metrics using data on disk Work with computing tasks distributed over a cluster Convert data from various sources into storage or querying formats Prepare data for statistical analysis, visualization, and machine learning Present data in the form of effective visuals Who this book is for Big Data Analysis with Python is designed for Python developers, data analysts, and data scientists who want to get hands-on with methods to control data and transform it into impactful insights. Basic knowledge of statistical measurements and relational databases will help you to understand various concepts explained in this book.

Product Identifiers

Publisher
Packt Publishing, The Limited
ISBN-10
1789955289
ISBN-13
9781789955286
eBay Product ID (ePID)
13038500576

Product Key Features

Author
Ankit Shukla, Sarang Vk, Ivan Marin
Publication Name
Big Data Analysis with Python : Combine Spark and Python to Unlock the Powers of Parallel Computing and Machine Learning
Format
Trade Paperback
Language
English
Subject
Data Modeling & Design, Data Visualization, Data Processing, Programming Languages / Python
Publication Year
2019
Type
Textbook
Subject Area
Computers
Number of Pages
276 Pages

Dimensions

Item Length
3.6 in
Item Width
3 in

Additional Product Features

Table of Content
Table of Contents The Python Data Science Stack Statistical Visualizations Working with Big Data Frameworks Diving Deeper with Spark Handling Missing Values and Correlation Analysis Exploratory Data Analysis Reproducibility in Big Data Analysis Creating a Full Analysis Report
Target Audience
Trade

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Big Data Analysis with Python : Combine Spark and Python to Unlock the Powers of Parallel Computing and Machine Learning by Ankit Shukla, Ivan Marin and Sarang VK (2019, Trade Paperback)

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artículo 1 BIG DATA ANALYSIS WITH PYTHON: COMBINE SPARK AND PYTHON TO By Ivan Marin & Ankit

artículo 2 Big Data Analysis with Python, Like New Used, Free shipping in the US

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