Course Information
Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
5 Hour(s) 56 Minute(s)
Language
English
Taught by
Packt Publishing
Rating
Course Overview
Practically understand concurrency in Python to write efficient programs
Python is a very high level, general purpose language that is utilized heavily in fields such as data science and research, as well as being one of the top choices for general purpose programming for programmers around the world. It features a wide number of powerful, high and low-level libraries and frameworks that complement its delightful syntax and enable Python programmers to create.
This course introduces some of the most popular libraries and frameworks and goes in-depth into how you can leverage these libraries for your own high-concurrent, highly-performant Python programs. You will learn the fundamental concepts of concurrency needed to be able to write your own concurrent and parallel software systems in Python. You will also learn the concepts such as debugging and exception handling as well as the libraries and frameworks that allow you to create event-driven and reactive systems.
Contents and Overview
This training program includes 2 complete courses, carefully chosen to give you the most comprehensive training possible.
The first course, Learning Concurrency in Python, introduces some of the most popular libraries and frameworks and goes in-depth into how you can leverage these libraries for your own high-concurrent, highly-performant Python programs. You will learn the fundamental concepts of concurrency needed to be able to write your own concurrent and parallel software systems in Python.
In the second course, Concurrent Programming in Python, you will skill-up with techniques related to various aspects of concurrent programming in Python, including common thread programming techniques and approaches to parallel processing.Filled with examples, this course will show you all you need to know to start using concurrency in Python. You will learn about the principal approaches to concurrency that Python has to offer, including libraries and tools needed to exploit the performance of your processor. Learn the basic theory and history of parallelism and choose the best approach when it comes to parallel processing.
By the end of this course, you will have learned the techniques to write incredibly efficient concurrent systems that follow best practices.
Meet Your Expert(s):
We have the best work of the following esteemed author(s) to ensure that your learning journey is smooth:
● Elliot Forbes has worked as a full-time software engineer at a leading financial firm for the last two years. He graduated from the University of Strathclyde in Scotland in the spring of 2015 and worked as a freelancer developing web solutions while studying there. He has worked on numerous different technologies such as Golang, Node.js, and plain old Java, and he has spent years working on concurrent enterprise systems.Elliot has even worked at Barclays Investment Bank for a summer internship in London and has maintained a couple of software development websites for the last three years.
BignumWorks Software LLP is an India-based software consultancy that provides consultancy services in the area of software development and technical training. Our domain expertise includes web, mobile, cloud app development, data science projects, in-house software training services, and up-skilling services.
Course Content
- 2 section(s)
- 66 lecture(s)
- Section 1 Learning Concurrency in Python
- Section 2 Concurrent Programming in Python
What You’ll Learn
- This course is for Python developers who want to learn concurrency techniques to build high-performance applications with Python.
Skills covered in this course
Reviews
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IIrina Batiri
Expected something totally different. Going too fast through the terms, no analogies - just pure book definitions. Not sure that I will finalize this course.
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PParag Sawaikar
The section 'Conditions and Semaphores' needs better examples for proper understanding of the concepts.
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KKirill Smirnov
Although the course is pretty well-structured, the videos go too fast and the lecturers don't provide a deep understanding of underlying processes. It's more about fast examples in the form of "you can do this but also you can do that". Moreover, some examples are quite poor in the sense of they are not as obvious as the lecturers present them. The first part of the course also lacks the introduction of the technologies necessary to repeat examples. Therefore, for some time I struggled with finding a way to use/download resources used in the examples. Slides change too fast and copy-pasting code with very brief explanation don't really help me understand it. Therefore, I needed to spend 2-3 more minutes to write it and check on my machine whether it works. Sometimes it didn't because the provided code has mistakes. Moreover, it has a lot of useless lines that harm readability. The second part is basically a repetition of the first part with another instructor. Again, too brief explanations but this time the code is written in a more interactive way.
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CCujo Seclab
This course is actually two courses by different authors merged into one. So basically you get same topics repeated by two different people. At first I was skeptical by the idea, but it worked well. You pick up some basic info during the first part, and then repeat the course in different words, style of lecturing and examples. The two courses, despite being about same thing, are quite complementary and offer different perspectives and explanations. Too bad that the course(s) are totally non-interactive. There are no exercises, problems to solve, and the quizzes are a joke. The most interactive thing is to type the code along the lecturer. So there is not much you could put into practice right away and solidify the knowledge further. However, I enjoyed the material, and it gave me valuable information.
