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Источник @procode404 · Post #3255 · 29 сент.

​⚡️CS50 на русском Computer Science 50 — вводный курс о компьютерных технологиях, который сделает вас настоящим программистом. И, что самое классное, это не скучные лекции с монотонно читающим оратором. Здесь преподаватели делают всё с юмором и максимально понятно. Отличный старт для новичков и продолжение для мидлов. 1. Основы программирования: Легендарный Гарвардский курс CS50 — [0:42] 2. Баги, код, человеческий фактор — [47:16] 3. Основы С++ — [1:04:15] 4. Продолжаем изучать C++ — [50:17] 5. Решаем интересные задачи — [53:09] Перейти к плейлисту #видео#теория

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djangoproject

@djangoproject · Post #439 · 13.09.2017, 03:57

Evented Django part one: Socket.IO and gevent #Socket.IO was developed with a #Node.JS server implementation, but work is being done to add server implementations to a variety of languages. Two such servers exist for Python, tornadio and #gevent-socketio. I'm a big fan of gevent, so I will use gevent-socketio, but tornadio looks well-written and very promising. http://codysoyland.com/2011/feb/6/evented-django-part-one-socketio-and-gevent/

djangoproject

@djangoproject · Post #170 · 22.09.2016, 14:27

https://pypi.python.org/pypi/uvloop #uvloop is a fast, drop-in replacement of the built-in #asyncio event loop. uvloop is released under the MIT license. uvloop and asyncio, combined with the power of async/await in Python 3.5, makes it easier than ever to write high-performance #networking code in Python. uvloop makes asyncio fast. In fact, it is at least 2x faster than #nodejs, #gevent, as well as any other Python #asynchronous framework. The performance of uvloop-based asyncio is close to that of Go programs.

djangoproject

@djangoproject · Post #270 · 26.02.2017, 08:08

https://www.obeythetestinggoat.com/testing-async-asyncio-and-performance.html #Testing, #async, #asyncio, and #performance Sun 27 December 2015 By Harry I recently did some experimenting with asyncio, and wanted to report back on how I got on with writing tests for it. While I was at it I was also able to compare its performance with a couple of other approaches to #mutlitasking in Python, namely #threads and #gevent, so I'll report on that here too. (tl;dr: it's much of a muchness).