17 OCT 2024 - Welcome Back to TorrentFunk! Get your pirate hat back out. Streaming is dying and torrents are the new trend. Account Registration works again and so do Torrent Uploads. We invite you all to start uploading torrents again!
TORRENT DETAILS
Asynchronous Programming With Python - Write, Test, And Debug Robust Asynchronous Code
TORRENT SUMMARY
Status:
All the torrents in this section have been verified by our verification system
In this course, we will look at using asynchronous programming in Python: the options, pitfalls, and best practices. We start with multi-threading, which is particularly useful when there is a lot of waiting, e.g. for HTTP requests or disk access. With multi-threading, you can start many requests in quick succession and then wait for all of them to complete at once. Next, the course will show you how to write your code in a thread-safe manner, and how to use it risk-free. Further, it covers Python’s global interpreter lock, which prevents a lot of serious problems in Python but also stops you from running threads in parallel.
Going forward we discover how you can use Python’s multiprocessing library to run functions in parallel. Threads and processes often need to share or exchange data. In asynchronous code just passing Python objects is usually not the safest way to do this. This course looks at the main ways to do this correctly in Python, such as queues and events. Finally, the course moves on to the concurrent.future library which contains higher-level abstractions, including thread and processing pools and an asynchronous map function.
The course finishes with advice on how to write robust asynchronous code, and how to test and debug it.
What You Will Learn
Take advantage of multi threading (concurrency) using the threading module
Implement multi processing (parallelism) using the multiprocessing module
Understand inter-process communication and data sharing using locks, queues, semaphores, barriers, events, and timers
Test and debug asynchronous Python code
Understand thread and process pools using concurrent.futures
Who This Video Is For
Intermediate to experienced Python programmers who want to speed up existing Python code by using multi processing and multi threading.
VISITOR COMMENTS (0 )
FILE LIST
Filename
Size
.pad/0
788 B
.pad/1
131.4 KB
.pad/10
98.7 KB
.pad/11
145.6 KB
.pad/12
152.7 KB
.pad/13
29.7 KB
.pad/14
65.8 KB
.pad/15
33.3 KB
.pad/2
219.8 KB
.pad/3
212.3 KB
.pad/4
163.4 KB
.pad/5
47.7 KB
.pad/6
92.5 KB
.pad/7
55.3 KB
.pad/8
254.7 KB
.pad/9
88.3 KB
TutsNode.com.txt
63 B
[TutsNode.com] - Asynchronous Programming with Python/01-Overview.en.srt
6.7 KB
[TutsNode.com] - Asynchronous Programming with Python/01-Overview.mp4
36.7 MB
[TutsNode.com] - Asynchronous Programming with Python/02-Threading Library.en.srt
3.2 KB
[TutsNode.com] - Asynchronous Programming with Python/02-Threading Library.mp4
7.1 MB
[TutsNode.com] - Asynchronous Programming with Python/03-Returning Values from a Thread.en.srt
2.7 KB
[TutsNode.com] - Asynchronous Programming with Python/03-Returning Values from a Thread.mp4
5.4 MB
[TutsNode.com] - Asynchronous Programming with Python/04-Race Conditions.en.srt
16 KB
[TutsNode.com] - Asynchronous Programming with Python/04-Race Conditions.mp4
27.8 MB
[TutsNode.com] - Asynchronous Programming with Python/05-Locks.en.srt
5.8 KB
[TutsNode.com] - Asynchronous Programming with Python/05-Locks.mp4
11.2 MB
[TutsNode.com] - Asynchronous Programming with Python/06-Deadlocks and Starvation.en.srt
8.3 KB
[TutsNode.com] - Asynchronous Programming with Python/06-Deadlocks and Starvation.mp4
18.1 MB
[TutsNode.com] - Asynchronous Programming with Python/07-Simple Multi-processing.en.srt
6.6 KB
[TutsNode.com] - Asynchronous Programming with Python/07-Simple Multi-processing.mp4
12.9 MB
[TutsNode.com] - Asynchronous Programming with Python/08-Returning Values.en.srt
4.3 KB
[TutsNode.com] - Asynchronous Programming with Python/08-Returning Values.mp4
9.7 MB
[TutsNode.com] - Asynchronous Programming with Python/09-Locks with Multi-processing.en.srt
4 KB
[TutsNode.com] - Asynchronous Programming with Python/09-Locks with Multi-processing.mp4
6.2 MB
[TutsNode.com] - Asynchronous Programming with Python/10-Queues.en.srt
9.7 KB
[TutsNode.com] - Asynchronous Programming with Python/10-Queues.mp4
22.3 MB
[TutsNode.com] - Asynchronous Programming with Python/11-Semaphores, Events, Timers and Barriers.en.srt
11.3 KB
[TutsNode.com] - Asynchronous Programming with Python/11-Semaphores, Events, Timers and Barriers.mp4
18 MB
[TutsNode.com] - Asynchronous Programming with Python/12-Process and Thread Pools.en.srt
2.3 KB
[TutsNode.com] - Asynchronous Programming with Python/12-Process and Thread Pools.mp4
3.3 MB
[TutsNode.com] - Asynchronous Programming with Python/13-The Concurrent Futures Library.en.srt
13.6 KB
[TutsNode.com] - Asynchronous Programming with Python/13-The Concurrent Futures Library.mp4
26.8 MB
[TutsNode.com] - Asynchronous Programming with Python/14-Writing Robust Code.en.srt
6.1 KB
[TutsNode.com] - Asynchronous Programming with Python/14-Writing Robust Code.mp4
8.9 MB
[TutsNode.com] - Asynchronous Programming with Python/15-Testing Asynchronous Code.en.srt
6.4 KB
[TutsNode.com] - Asynchronous Programming with Python/15-Testing Asynchronous Code.mp4
11 MB
[TutsNode.com] - Asynchronous Programming with Python/16-Debugging Asynchronous Code.en.srt
4.4 KB
[TutsNode.com] - Asynchronous Programming with Python/16-Debugging Asynchronous Code.mp4
6.4 MB
[TutsNode.com] - Asynchronous Programming with Python/17-Conclusion.en.srt
2.2 KB
[TutsNode.com] - Asynchronous Programming with Python/17-Conclusion.mp4
