PacktPub | Concurrent And Parallel Programming In Python [Video] [FCO]

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Chapter 1 Threading
  • 001. Threading, Multiprocessing, Async Introduction.mp4 (59.3 MB)
  • 002. Threading in Python.mp4 (65.6 MB)
  • 003. Creating a Threading Class.mp4 (53.7 MB)
  • 004. Creating a Wikipedia Reader.mp4 (84.1 MB)
  • 005. Creating a Yahoo Finance Reader.mp4 (86.6 MB)
  • 006. Queues and Master Scheduler.mp4 (67.6 MB)
  • 007. Creating a Postgres Worker.mp4 (94.5 MB)
  • 008. Integrating the Postgres Worker.mp4 (111.3 MB)
  • 009. Yaml File Introduction.mp4 (88.8 MB)
  • 010. Creating a Yaml Reader.mp4 (161.6 MB)
  • 011. Improving Our Wiki Worker.mp4 (153.2 MB)
  • 012. Improving All Workers and Adding Monitoring.mp4 (146.3 MB)
  • 013. Final Program Cleanup.mp4 (34.1 MB)
  • 014. Locking.mp4 (55.7 MB)
Chapter 2 Multiprocessing
  • 001. Multiprocessing Introduction.mp4 (33.6 MB)
  • 002. Multiprocessing Queues.mp4 (36.6 MB)
  • 003. Multiprocessing Pool.mp4 (44.1 MB)
  • 004. Multiprocessing Pool Map Multiple Arguments.mp4 (18.1 MB)
  • 005. Multiprocessing Multiple Varying Arguments.mp4 (16.4 MB)
  • 006. Multiprocessing Checking Elements in List in Certain Ranges.mp4 (29.4 MB)
Chapter 3 Asynchronous
  • 001. Introduction to Writing Asynchronous Programs.mp4 (44.7 MB)
  • 002. Asynchronous Tasks.mp4 (26.1 MB)
  • 003. Async Gather Method.mp4 (30.7 MB)
  • 004. Using Async Timeouts.mp4 (13.1 MB)
  • 005. Creating Asynchronous For Loops.mp4 (12.8 MB)
  • 006. Using Asynchronous Libraries.mp4 (48.1 MB)
  • 007. The Async Wait Statement.mp4 (41.2 MB)
  • 008. Combining Async and Multiprocessing.mp4 (51.4 MB)
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PacktPub - Concurrent And Parallel Programming In Python [Video] [FCO]



About this video

In a big data project, a plethora of information is retrieved, big numbers are crunched on our machine, or both. If the coding is sequential or synchronous, our application will struggle to execute. Two mechanisms to alleviate such bottlenecks are concurrency and parallelism. In Python, concurrency is represented by threading, whereas multiprocessing achieves parallelism.

This course begins with an introduction about potential programming speed bottlenecks and solving them. You will delve into Python concepts and create a Wikipedia Reader, Yahoo Finance Reader, Queues, and Master Scheduler. You will build a multi-threaded program to grab data from the Internet and parse and save them into a local database. Implement multiprocessing in Python, which lets us use multiple CPUs in our code. Learn about threading, multiprocessing, asynchronous wait, locking, multiprocessing queues, Pool Map Multiple Arguments, writing asynchronous programs, and combining async and multiprocessing.

Upon completion, we can spread our workload over all cores available on the used machine. We will combine both elements, multiprocessing with asynchronous programming, to maximize benefit and CPU resource usage and minimize the time spent waiting for IO responses. You will create multi-threaded, asynchronous, multi-process programs to make programs run faster.

All resources are available at: https://github.com/PacktPublishing/Concurrent-and-Parallel-Programming-in-Python

Instructor(s)

Maximilian Schallwig is a data engineer and a proficient Python programmer. He holds a bachelor’s degree in physics and a master’s degree in astrophysics. He has been working on data for over five years, first as a data scientist and then as a data engineer. He can talk endlessly about big data pipelines, data infrastructure, and his unwavering devotion to Python.

Even after two unsuccessful attempts in high school, he still decided to learn Python at the University. He cautiously stepped into the realm of data, beginning with a simple Google search for “what does a data scientist do”.

He was determined to pursue a career in data science to become a data engineer by learning about big data tools and infrastructure design to build scalable systems and pipelines. He enjoys sharing his programming skills with the rest of the world.

General Info:

Author(s)

: Maximilian Schallwig

Language

: English

Released

: November 2022

ISBN

: 9781804611944

Videos Duration

: 6h 7m

Course Source

: https://www.packtpub.com/product/concurrent-and-parallel-programming-in-python-video/9781804611944



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PacktPub | Concurrent And Parallel Programming In Python [Video] [FCO]

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PacktPub | Concurrent And Parallel Programming In Python [Video] [FCO]

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