Login       My Wishlist
  My Cart
$0.00 / 0 items
 
EMS Linux
Utilizing the Best Tools With Linux
 
International Access
Global Shipping Options Available
Home About Us News Our Blog Our Catalog My Cart My Account Track Shippment Contact Us
  Our Catalog   Parallel Programming

Python High Performance - Second Edition: Build high-performing, concurrent, and distributed applications


Save 1% on the Python High Performance - Second Edition: Build high-performing, concurrent, and distributed applications by Packt Publishing - ebooks Account at EMS Linux. Hurry! Limited time offer. Offer valid only while supplies last. Key FeaturesIdentify the bottlenecks in your applications and solve them using the best profiling techniquesWrite efficient numerical code in NumPy,


Product Description

Key Features

  • Identify the bottlenecks in your applications and solve them using the best profiling techniques
  • Write efficient numerical code in NumPy, Cython, and Pandas
  • Adapt your programs to run on multiple processors and machines with parallel programming

Book Description

Python is a versatile language that has found applications in many industries. The clean syntax, rich standard library, and vast selection of third-party libraries make Python a wildly popular language.

Python High Performance is a practical guide that shows how to leverage the power of both native and third-party Python libraries to build robust applications.

The book explains how to use various profilers to find performance bottlenecks and apply the correct algorithm to fix them. The reader will learn how to effectively use NumPy and Cython to speed up numerical code. The book explains concepts of concurrent programming and how to implement robust and responsive applications using Reactive programming. Readers will learn how to write code for parallel architectures using Tensorflow and Theano, and use a cluster of computers for large-scale computations using technologies such as Dask and PySpark.

By the end of the book, readers will have learned to achieve performance and scale from their Python applications.

What you will learn

  • Write efficient numerical code with the NumPy and Pandas libraries
  • Use Cython and Numba to achieve native performance
  • Find bottlenecks in your Python code using profilers
  • Write asynchronous code using Asyncio and RxPy
  • Use Tensorflow and Theano for automatic parallelism in Python
  • Set up and run distributed algorithms on a cluster using Dask and PySpark

About the Author

Dr. Gabriele Lanaro has been conducting research to study the formation and growth of crystals using medium and large-scale computer simulations. In 2017, he obtained his PhD in theoretical chemistry. His interests span machine learning, numerical computing visualization, and web technologies. He has a sheer passion for good software and is the author of the chemlab and chemview open source packages. In 2013, he authored the first edition of the book "High Performance Python Programming".

I'd like to acknowledge the support from Packt editors, including Vikas Tiwari. I would also like to thank my girlfriend, Harani, who had to tolerate the way-too-long writing nights, and friends who provided company and support throughout. Also, as always, I'd love to thank my parents for giving me the opportunity to pursue my ambitions.

Lastly, I would like to thank Blenz coffee for powering the execution engine of this book through electricity and caffeine.

Table of Contents

  1. Benchmarking and profiling
  2. Pure Python Optimization techniques
  3. Fast array operations
  4. C performance with Cython
  5. Exploring Compilers
  6. Implementing concurrency
  7. Parallel processing
  8. Distributed Processing
  9. Designing for High Performance

Additional Information

Manufacturer:Packt Publishing - ebooks Account
Publisher:Packt Publishing - ebooks Account
Studio:Packt Publishing - ebooks Account
EAN:9781787282896
Item Size:0.61 x 9.25 x 9.25 inches
Package Weight:1.31 pounds
Package Size:7.5 x 0.61 x 0.61 inches

Python High Performance - Second Edition: Build high-performing, concurrent, and distributed applications by Packt Publishing - ebooks Account

Buy Now:
Python High Performance - Second Edition: Build high-performing, concurrent, and distributed applications

Brand: Packt Publishing - ebooks Account
Condition: New
Lead Time: 1 - 2 Business Days
Availability: In Stock
$39.99
$39.98


Quantity:  

 


View More In Parallel Programming.

 


Have questions about this item, or would like to inquire about a custom or bulk order?


If you have any questions about this product by Packt Publishing - ebooks Account, contact us by completing and submitting the form below. If you are looking for a specif part number, please include it with your message.

First Name:
Last Last:
Email Address:
Your Message:

Related Best Sellers


ean: 9780134177410, isbn: 013417741X,
CUDA for Engineers gives you direct, hands-on engagement with personal, high-performance parallel computing, enabling you to do computations on a gaming-level PC that would have required a supercomputer just a few years ago.   The authors introduce...

mpn: 9780131387683, ean: 9780131387683, isbn: 0131387685,
“This book is required reading for anyone working with accelerator-based computing systems.” –From the Foreword by Jack Dongarra, University of Tennessee and Oak Ridge National Laboratory CUDA is a computing architecture designed to facilitat...

ean: 9781449361303, isbn: 1449361307,
Building distributed applications is difficult enough without having to coordinate the actions that make them work. This practical guide shows how Apache ZooKeeper helps you manage distributed systems, so you can focus mainly on application logic. Ev...

mpn: black & white illustrations, ean: 9781491900086, isbn: 1491900083,
Get expert guidance on architecting end-to-end data management solutions with Apache Hadoop. While many sources explain how to use various components in the Hadoop ecosystem, this practical book takes you through architectural considerations necessar...

ean: 9781439811924, isbn: 143981192X,
Written by high performance computing (HPC) experts, Introduction to High Performance Computing for Scientists and Engineers provides a solid introduction to current mainstream computer architecture, dominant parallel programming models, and useful o...

ean: 9780123973375, isbn: 0123973376,
Revised and updated with improvements conceived in parallel programming courses, The Art of Multiprocessor Programming is an authoritative guide to multicore programming. It introduces a higher level set of software development skills than that neede...

mpn: 47207334, ean: 9780128119860, isbn: 0128119861,
Programming Massively Parallel Processors: A Hands-on Approach, Third Edition shows both student and professional alike the basic concepts of parallel programming and GPU architecture, exploring, in detail, various techniques for constructing paralle...

ean: 9780387098449, isbn: 0387098445,
Containing over 300 entries in an A-Z format, the Encyclopedia of Parallel Computing provides easy, intuitive access to relevant information for professionals and researchers seeking access to any aspect within the broad field of parallel computing....

sku: 9780444506733, ean: 9780444506733, isbn: 044450673X,
Parallel CFD 2000, the Twelfth in an International series of meetings featuring computational fluid dynamics research on parallel computers, was held May 22-25, 2000 in Trondheim, Norway. Following the trend of the past conferences, areas such as num...

ean: 9780444828309, isbn: 0444828303,
Process Algebra is a formal description technique for complex computer systems, especially those involving communicating, concurrently executing components. It is a subject that concurrently touches many topic areas of computer science and discrete m...



Privacy Policy / Terms of Service
© 2018 - emslinux.com. All Rights Reserved.