Udemy - Concurrent and Parallel Programming in Python

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Udemy - Concurrent and Parallel Programming in Python (Size: 2.2 GB)
  1. Multiprocessing Intro.mp4 43.6 MB
  1. Multiprocessing Intro.srt 10.4 KB
  1. Threading, Multiprocessing, Async Intro.mp4 107.1 MB
  1. Threading, Multiprocessing, Async Intro.srt 22.3 KB
  1.1 GitHub repo with code.html 102.4 B
  10. Creating a Yaml Reader.mp4 226 MB
  10. Creating a Yaml Reader.srt 41.1 KB
  10. Using Async Timeouts.mp4 16.4 MB
  10. Using Async Timeouts.srt 4.5 KB
  11. Creating Asynchronous For Loops.mp4 16 MB
  11. Creating Asynchronous For Loops.srt 3.8 KB
  11. Improving Our Wiki Worker.mp4 213.3 MB
  11. Improving Our Wiki Worker.srt 36.7 KB
  12. Improving All Workers and Adding Monitoring.mp4 215.6 MB
  12. Improving All Workers and Adding Monitoring.srt 39.8 KB
  12. Using Asynchronous Libraries.mp4 65.8 MB
  12. Using Asynchronous Libraries.srt 13.8 KB
  13. Final Program Cleanup.mp4 44.9 MB
  13. Final Program Cleanup.srt 10 KB
  13. The Async Wait Statement.mp4 54 MB
  13. The Async Wait Statement.srt 14.1 KB
  14. Combining Async and Multiprocessing.mp4 67.8 MB
  14. Combining Async and Multiprocessing.srt 17.1 KB
  14. Locking.mp4 71.2 MB
  14. Locking.srt 17.3 KB
  2. Multiprocessing Queues.mp4 48.6 MB
  2. Multiprocessing Queues.srt 9.6 KB
  2. Threading in Python.mp4 92 MB
  2. Threading in Python.srt 26.8 KB
  3. Creating a Threading Class.mp4 76.7 MB
  3. Creating a Threading Class.srt 20.1 KB
  3. Multiprocessing Pool.mp4 58.4 MB
  3. Multiprocessing Pool.srt 15.6 KB
  4. Creating a Wikipedia Reader.mp4 102.8 MB
  4. Creating a Wikipedia Reader.srt 19.1 KB
  4. Multiprocessing Pool Map Multiple Arguments.mp4 8 MB
  4. Multiprocessing Pool Map Multiple Arguments.srt 6 KB
  5. Creating a Yahoo Finance Reader.mp4 112.1 MB
  5. Creating a Yahoo Finance Reader.srt 19.9 KB
  5. Multiprocessing Multiple Varying Arguments.mp4 25.6 MB
  5. Multiprocessing Multiple Varying Arguments.srt 6.3 KB
  6. Multiprocessing Checking Elements in List in Certain Ranges.mp4 37.9 MB
  6. Multiprocessing Checking Elements in List in Certain Ranges.srt 8.2 KB
  6. Queues and Master Scheduler.mp4 26.4 MB
  6. Queues and Master Scheduler.srt 20.5 KB
  7. Creating a Postgres Worker.mp4 138.2 MB
  7. Creating a Postgres Worker.srt 26.7 KB
  7. Intro to Writing Asynchronous Programs.mp4 57.7 MB
  7. Intro to Writing Asynchronous Programs.srt 17.5 KB
  8. Asynchronous Tasks.mp4 33.7 MB
  8. Asynchronous Tasks.srt 8.8 KB
  8. Integrating the Postgres Worker.mp4 159.7 MB
  8. Integrating the Postgres Worker.srt 26.5 KB
  9. Async Gather Method.mp4 39.1 MB
  9. Async Gather Method.srt 11.2 KB
  9. Yaml File Intro.mp4 120.4 MB
  9. Yaml File Intro.srt 26 KB
  Bonus Resources.txt 307.2 B
  Get Bonus Downloads Here.url 204.8 B
  ▲ 59 total files

Description


Concurrent and Parallel Programming in Python
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 28 lectures (6h 7m) | Size: 2.08 GB
Speed up your programs with concurrency
What you'll learn:
How to use concurrency and parallelism in Python
How to write multi-threaded programs
How to write multi-process programs
How to write asynchronous programs

Requirements
Basic familiarity with Python

Description
In this course you'll learn how to create multi-threaded, asynchronous, and multi-process programs in Python, so that you can make your programs run even faster.

In applications communicating with other resources, a lot of time is spent just waiting for information to be passed from one place to another. You'll learn how to use multi-threading as well as asynchronous programming to speed up programs that are heavily bottlenecked by IO operations.

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