Description
Learn Parallel Computing in Python, a course to learn parallel computing in Python, is published by Udemy Academy. Multithreading and multiprocessing programming is not much more difficult than normal programming. Developers fear concurrent programming because they think it is an advanced topic that only experienced developers can handle. This is far from the truth. Our minds are very used to dealing with simultaneity. Actually we do this in our daily life without any problem but somehow it is difficult for us to translate it into code. One of the reasons is that we are not familiar with the concepts and tools available to manage this concurrency.
This course is here to help you understand how to use multithreading and multiprocessing programming tools and concepts to manage concurrency. This course is designed to be as practical as possible. We start with a theory about parallelism and then explain how the operating system handles multiple processes and threads. Later we explain the multiple tools available by solving example problems using concurrent programming. In this course we use Python, however the concepts learned here can be applied to most programming languages.
What you will learn
- Discover how to create responsive and high performance software
- You will see how we use multithreading and multiprocessing to model certain types of problems.
- Developing programs with Python that are completely concurrent and parallel.
- Understand the advantages, limitations, and characteristics of parallel computing.
- Improve your programming skills in Python with more advanced topics, multitasking and multiprocessing.
- Learn about threads, processes, barriers, waiting groups, queues, pipes, conditional variables, deadlocks, and more.
Who is this course suitable for?
- Developers who want to take their career to the next level by improving their skills and learning concurrent and parallel programming.
- College students currently learning parallel computing who want to see what the learned concepts look like in practice
- Experienced developers who have struggled with this and want to try it using a different approach.
Details of the Learn Parallel Computing in Python course
- Publisher: Udemy
- teacher : James Cutajar
- English language
- Education level: Intermediate
- Number of courses: 46
- Training duration: 5 hours and 2 minutes
Chapters of the Learn Parallel Computing in Python course
Course prerequisites
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Some experience of programming in Python (enough if you know how to use functions, lists and dictionaries).
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Recent version of Python installed.
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Being able to do 50 pull ups while shouting a unique prime number on each rep (just kidding).
Pictures
Sample video
Installation guide
After Extract, view with your favorite Player.
English subtitle
Quality: 720p
download link
File(s) password: www.downloadly.ir
Size
1.68 GB
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