April 2016
Intermediate to advanced
170 pages
3h 48m
English
Overview
"Distributed Computing with Python" is your guide to leveraging Python for high-performance computing tasks by distributing workloads effectively across multiple resources. This book walks you through the fundamentals of both parallel and distributed computing, showing you how to take advantage of Python in these cutting-edge paradigms.
What this Book will help me do
- Understand the basics of parallel and distributed computing and learn when and where to apply these techniques.
- Develop programs that utilize both synchronous and asynchronous programming models effectively.
- Master Celery and other tools to create distributed systems handling complex and large-scale processing tasks.
- Integrate Python with cloud platforms and high-performance computing clusters to maximize computational power.
- Test and debug distributed applications, ensuring they work reliably and perform optimally even at scale.
Author(s)
None Pierfederici is an experienced software developer with a focus on data and distributed computing. With a rich background in leveraging Python for complex technical challenges, None has authored materials that empower developers to get the most from their systems and tools. Their expertise and clear instruction style make complex concepts accessible.
Who is it for?
If you are a Python developer looking to expand your skillset and learn how to build applications that can handle resource-intensive tasks, this book is for you. Developers experienced in Python basics who want to delve into distributed computing will find this guide invaluable. It's perfect for programmers eager to optimize applications for better performance and reliability. If you aspire to master cloud or high-performance computing with Python, dive in!
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