Explanation
Multithreading and multiprocessing programming is not much more complicated than regular programming. Developers are afraid of parallel programming because they think that it is an advanced topic that only those with high experience can play. This is far from the truth. Our brains are very used to dealing with transactions. We actually do this in our daily lives without any problems but somehow we struggle to translate this into our code. One of the reasons for this is that we are not familiar with the ideas and tools we have to manage this exchange rate.
This course is here to help you understand how to use many reading and processing tools and concepts to manage your parallel programming. It is designed to be as practical as possible. We begin with an overview of parallelism and then explain how the operating system manages multiple processes and sequences. We then move on to explain the many tools available by solving example problems using the same programs. In this course we use the Python language, however the concepts learned here can be applied to most programming languages.
What will you learn?
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Find out how to create high performance responsive software.
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See how to use multithreading and multiprocessing to model some types of problems.
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Create parallel and parallel Python programs.
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Understand the benefits, limitations and characteristics of parallel computing.
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Improve your Python programming skills with more advanced, extensive reading and technical topics.
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Learn about threads, methods, mutexes, constraints, wait groups, queues, pipes, condition variables, locks and more.
Who is this course for?
- Developers who want to take their skills to the next level by improving their skills and learning parallel and parallel programming.
- College students currently studying calculus who want to see how concepts learned in class relate to practice.
- Experienced developers who have struggled with this theme and want to try again using a different approach.
A Guide to Learning Comparative Computing in Python
- Publisher: Udemy
- Teacher: James Cutajar
- Language : English
- Level: Medium
- Number of courses: 46
- Duration: 5 hours and 2 minutes
An Introduction to Comparative Computing in Python
Requirements
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Some experience with Python programming (enough if you know how to use functions, lists and dictionaries).
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The latest version of Python is installed.
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Being able to do 50 pull ups while yelling a unique number for each rep (just kidding).
Pictures
Sample Clip
Installation Guide
Extract files and watch your favorite player
Subtitle : English
Quality: 720p
Download Links
Password file: free download software
file size
1.68 GB