Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Save more on your purchases! discount-offer-chevron-icon
Savings automatically calculated. No voucher code required.
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Newsletter Hub
Free Learning
Arrow right icon
timer SALE ENDS IN
0 Days
:
00 Hours
:
00 Minutes
:
00 Seconds
Arrow up icon
GO TO TOP
Parallel Programming with Python

You're reading from   Parallel Programming with Python Develop efficient parallel systems using the robust Python environment.

Arrow left icon
Product type Paperback
Published in Jun 2014
Publisher
ISBN-13 9781783288397
Length 124 pages
Edition 1st Edition
Languages
Arrow right icon
Author (1):
Arrow left icon
 Palach Palach
Author Profile Icon Palach
Palach
Arrow right icon
View More author details
Toc

Table of Contents (10) Chapters Close

Preface 1. Contextualizing Parallel, Concurrent, and Distributed Programming FREE CHAPTER 2. Designing Parallel Algorithms 3. Identifying a Parallelizable Problem 4. Using the threading and concurrent.futures Modules 5. Using Multiprocessing and ProcessPoolExecutor 6. Utilizing Parallel Python 7. Distributing Tasks with Celery 8. Doing Things Asynchronously Index

Index

A

  • apply() method
    • about / Working with tasks
  • apply_async() method
    • about / Working with tasks
  • arguments, Server class
    • ncpus / Discovering PP
    • ppservers / Discovering PP
  • arguments, submit method
    • func / Discovering PP
    • args / Discovering PP
    • modules / Discovering PP
    • callback / Discovering PP
  • Asgard-desktop / Using PP to make a distributed Web crawler
  • asynchronous operations
    • about / Understanding asynchronous operations
  • asyncio
    • URL / Using event loops
    • about / Using asyncio
    • using / Using asyncio
    • coroutine, defining / Understanding coroutines and futures
    • coroutine and asyncio.Future, using / Using coroutine and asyncio.Future
    • .Task class, using / Using asyncio.Task
    • incompatible library, using with / Using an incompatible library with asyncio
  • asyncio.Future object
    • and coroutine, using / Using coroutine and asyncio.Future
  • asyncio.Task class
    • using / Using asyncio.Task
  • AsyncResult class / Using Celery to obtain a...
lock icon The rest of the chapter is locked
Visually different images
CONTINUE READING
83
Tech Concepts
36
Programming languages
73
Tech Tools
Icon Unlimited access to the largest independent learning library in tech of over 8,000 expert-authored tech books and videos.
Icon Innovative learning tools, including AI book assistants, code context explainers, and text-to-speech.
Icon 50+ new titles added per month and exclusive early access to books as they are being written.
Parallel Programming with Python
arrow left Previous Section
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at ₹800/month. Cancel anytime
Modal Close icon
Modal Close icon