ダウンロード Asynchronous Programming with Python Write, Test, and Debug Robust Asynchronous Code torrent - GloDLS
トレントの詳細については "Asynchronous Programming with Python Write, Test, and Debug Robust Asynchronous Code"

Asynchronous Programming with Python Write, Test, and Debug Robust Asynchronous Code

To download this torrent, you need a BitTorrent client: Vuze or BTGuard
このトレントをダウンロードしてください。
Download using Magnet Link

健康:
シーズ: 0
リーチャ: 0
完了: 0 
最終チェック: 08-01-2021 16:32:42

アップローダ評判ポイント : 7860




Thanks By

Write a Review for the Uploader:   15   Say Thanks with one good review:
Share on Facebook


Details
名前:Asynchronous Programming with Python Write, Test, and Debug Robust Asynchronous Code
_DESCRIPTION_:

Description

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.
YouTube動画:
カテゴリ:Tutorials
言語:English  English
合計サイズ:237.06 MB
情報のハッシュ:F9FB965835E998B0A3F13ED718AF389542236BD7
を追加することによって:tutsnode Verified UploaderVIP
追加日:2021-01-09 00:32:39
トレントステータス:Torrent Verified


評価:Not Yet Rated (Log in to rate it)


Tracker:
udp://inferno.demonoid.pw:3391/announce

_THIS_TORRENT_HAS_BACKUP_TRACKERS_
URLシーダーリーチャ完了
udp://inferno.demonoid.pw:3391/announce000
udp://tracker.openbittorrent.com:80/announce000
udp://tracker.opentrackr.org:1337/announce000
udp://torrent.gresille.org:80/announce000
udp://glotorrents.pw:6969/announce000
udp://tracker.leechers-paradise.org:6969/announce000
udp://tracker.pirateparty.gr:6969/announce000
udp://tracker.coppersurfer.tk:6969/announce000
udp://ipv4.tracker.harry.lu:80/announce000
udp://9.rarbg.to:2710/announce000
udp://shadowshq.yi.org:6969/announce000
udp://tracker.zer0day.to:1337/announce000


ファイルリスト: 





Comments
コメントはまだ投稿されました