Udemy – Learn Parallel Computing in Python 2021-3

Published on: 2023-02-11 00:47:54

Categories: 28

Descriptions

Multithreading and Multiprocessing programming is not much harder than normal programming. Developers are scared of concurrent programming because they think it is an advanced topic that only highly experienced developers get to play with. This is far from the truth. Our minds are very much used to dealing with concurrency. In fact we do this in our everyday life without any problem but somehow we struggle to translate this into our code. One of the reasons for this is that we’re not familiar with the concepts and tools available to us to manage this concurrency.

This course is here to help you understand how to use multithreading and multiprocessing tools and concepts to manage your parallel programming. It is designed to be as practical as possible. We start with some theory around parallelism and then explain how the operating system handles multiple processes and threads. Later we move on to explain the multiple tools available by solving example problems using concurrent programming. In this course we use the Python language, however the concepts learned here can be applied to most programming languages.

What you’ll learn

Discover how to create responsive and high performance software.
See how to use multithreading and multiprocessing for modeling certain types of problems.
Develop programs with Python that are highly Concurrent and Parallel.
Understand the advantages, limits and properties of Parallel computing.
Improve your programming skills in Python with more advanced, mulithreading and multiprocessing topics.
Learn about threads, processes, mutexes, barriers, waitgroups, queues, pipes, condition variables, deadlocks and more.

Who this course is for

Developers who want to take their career to the next level by improving their skills and learning about concurrent and parallel programming.
College students currently learning about parallel computing who want to see how concepts learned in class relate to practice.
Experienced developers that have struggled with this topic and want to give it another try using a different approach.

Specificatoin of Learn Parallel Computing in Python

Publisher : Udemy
Teacher : James Cutajar
Language : English
Level : Intermediate
Number of Course : 46
Duration : 5 hours and 2 minutes

Content of Learn Parallel Computing in Python

Learn Parallel Computing in Python

Requirements

Some experience of programming in Python (enough if you know how to use functions, lists and dictionaries).
Recent version of Python installed.
Being able to do 50 pull ups while shouting a unique prime number on each rep (just kidding).