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Spark for Python Developers. Amit Nandi

Spark-for-Python.pdf
ISBN: 9781784399696 | 146 pages | 4 Mb

• Spark for Python Developers
• Amit Nandi
• Page: 146
• Format: pdf, ePub, fb2, mobi
• ISBN: 9781784399696
• Publisher: Packt Publishing, Limited

Download Spark for Python Developers

Download google books to kindle Spark for Python Developers iBook by Amit Nandi 9781784399696 in English

A concise guide to implementing Spark Big Data analytics for Python developers, and building a real-time and insightful trend tracker data intensive app About This Book Set up real-time streaming and batch data intensive infrastructure using Spark and Python Deliver insightful visualizations in a web app using Spark (PySpark) Inject live data using Spark Streaming with real-time events Who This Book Is For This book is for data scientists and software developers with a focus on Python who want to work with the Spark engine, and it will also benefit Enterprise Architects. All you need to have is a good background of Python and an inclination to work with Spark. What You Will Learn Create a Python development environment powered by Spark (PySpark), Blaze, and Bookeh Build a real-time trend tracker data intensive app Visualize the trends and insights gained from data using Bookeh Generate insights from data using machine learning through Spark MLLIB Juggle with data using Blaze Create training data sets and train the Machine Learning models Test the machine learning models on test datasets Deploy the machine learning algorithms and models and scale it for real-time events In Detail Looking for a cluster computing system that provides high-level APIs? Apache Spark is your answer—an open source, fast, and general purpose cluster computing system. Spark's multi-stage memory primitives provide performance up to 100 times faster than Hadoop, and it is also well-suited for machine learning algorithms. Are you a Python developer inclined to work with Spark engine? If so, this book will be your companion as you create data-intensive app using Spark as a processing engine, Python visualization libraries, and web frameworks such as Flask. To begin with, you will learn the most effective way to install the Python development environment powered by Spark, Blaze, and Bookeh. You will then find out how to connect with data stores such as MySQL, MongoDB, Cassandra, and Hadoop. You'll expand your skills throughout, getting familiarized with the various data sources (Github, Twitter, Meetup, and Blogs), their data structures, and solutions to effectively tackle complexities. You'll explore datasets using iPython Notebook and will discover how to optimize the data models and pipeline. Finally, you'll get to know how to create training datasets and train the machine learning models. By the end of the book, you will have created a real-time and insightful trend tracker data-intensive app with Spark.

2. Building Batch and Streaming Apps with Spark - Spark for Python
Building Batch and Streaming Apps with Spark The objective of the book is to teach you about PySpark and Selection from Spark for Python Developers [ Book] Manning | Spark in Action
Apache Spark is a big data processing framework perfect for analyzing Spark's core abstractions are intuitive for most Scala, Java, and Python developers. Moving to the cloud - Spark for Python Developers [Book] - Safari
Moving to the cloud As we are dealing with distributed systems, an environment on a virtual machine running on a single laptop is limited for exploration and  H2O.ai Announces New Python API for Sparkling Water | Business
H2O.ai Announces New Python API for Sparkling Water. “Killer Application for Spark” for Python Developers to Power Next Generation of  The Top Mistakes Developers Make When Using Python for Big
Python expert Karolina Alexiou shows how to avoid some of the most common pitfalls that developers run into when using Python for big data analytics. together tasks of different types (Java Map/Reduce, Spark, Python,  What is the most preferred language for Spark development? Python
Mostly Scala, I invite you to look at this deck from Spark-Summit Europe keynote : http://www.slideshare.net/mobile/databricks/spark-summit-eu-2015-matei-zah. Spark for Python Developers eBook: Amit Nandi: Amazon.in: Kindle
A concise guide to implementing Spark Big Data analytics for Python developers, and building a real-time and insightful trend tracker data intensive app  Manipulating Twitter data in real time - Spark for Python Developers
One search API that essentially allows us to retrieve past tweets based on search terms. This is how we have - Selection from Spark for Python Developers  Previewing our app - Spark for Python Developers [Book] - Safari
Previewing our app Our challenge is to make sense of the data retrieved from these social networks, finding the key relationships and deriving insights. Some of  Using Python with Apache Spark | Java Code Geeks
For this reason, Python appeals to experienced programmers as well as beginners. Google uses it extensively. While you can use Scala, which 

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