Video Training → Manning - Creating a Chat Server with async Rust and Tokio

Published by: voska89 on 28-09-2021, 04:02 | 0

MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 53m 43s | Size: 2.74 GB
Building a chat server is a great way to learn the Tokio library because a chat server forces you to think about concurrent IO, which is the core purpose of Tokio. Lily demonstrates how you can spawn background tasks to manage independent network streams, and use tokio::select! to concurrently poll tasks which require a shared state. The lessons learned here can be applied generally to all kinds of asynchronous coding challenges in Rust.

Video Training → Linkedin Learning - Async Python Foundations Applied Concepts

Published by: Minhchick on 14-09-2021, 20:18 | 0

Linkedin Learning - Async Python Foundations Applied Concepts-XQZT
English | Size: 135.75 MB
Category: Python

If you were cooking a multicourse meal, would you prep one thing at a time?

Video Training → Linkedin - Async Python Foundations Applied Concepts

Published by: voska89 on 12-09-2021, 18:16 | 0

MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Skill Level: Advanced | Genre: eLearning | Language: English + srt | Duration: 1h 3m | Size: 120.4 MB
If you were cooking a multicourse meal, would you prep one thing at a time? Put bread in the oven, wait. Warm the soup on the stove, wait. Then the main course. Wouldn't it be more efficient to spend time prepping other food instead of waiting on tasks that don't need your immediate attention? In the same way that having multiple things happen at the same time leads to faster meal prep, having multiple things happen in Python-or using an asynchronous approach-can be leveraged to boost application performance and make your Python programs extremely efficient. In this course, Ronnie Sheer gives you the tools to use async Python to solve real-world problems, gain familiarity with the async Python ecosystem, complete challenges with working examples, and become a more attractive candidate for engineering positions. If you're an experienced Python user looking to take async Python from theory to practice, check out this hands-on course.