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Source channel @nextech666 · Post #310 · 8月30日

#H5游戏#cocos#pixi#layabox H5游戏客户端工程师 薪资待遇:面议,依资历谈薪 简历投递窗口:@jiesi997@nownow168@tung51688 工作职责: 职责一:开发工作 任务1、使用Egret进行项目相关功能模块的开发; 任务2、根据项目需求,进行游戏程序设计及开发工作; 职责二:协调工作 任务1、与服务器后端工程师沟通设计网络通信协议等; 任务2、与项目组策划、美术人员共同讨论开发需求及设计游戏实现细节,保证产品质量和进度; 任职要求 1、5年以上相关工作经验,1年以上Egret、Layabox、Coocs2d-js、pixi等其中一种或多种引擎开发经验,egret引擎优先; 2、熱练掌握 Javascript/Typescript语言、es6 语法,良好的OOP编程思想,熱悉各种前端调试工具,熱悉js性能优化: 3、熱悉 canvas和webgl图形学原理,熟悉CSS布局规苑等前端常规知识; 4、熟悉WebSocket 和 HTTP/HTTPS等网络协议,精通常用数据结构和算法: 5、熟悉H5游戏性能优化,善于解决跨浏览器和移动设备兼容性问题; 6、具有良好的编码规范,善于思考,具有极强的学习能力和独立解决问题的能力,能对团队代码质量负责;

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djangoproject

@djangoproject · Post #268 · 2017/02/26 05:52

https://pawelmhm.github.io/asyncio/python/aiohttp/2016/04/22/asyncio-aiohttp.html 👌Making 1 million requests with python -#aiohttp Apr 22, 2016 - by Paweł Miech - about: #asyncio, aiohttp, #python In this post I’d like to test limits of python aiohttp and check its performance in terms of requests per minute. Everyone knows that asynchronous code performs better when applied to network operations, but it’s still interesting to check this assumption and understand how exactly it is better and why it’s is better. I’m going to check it by trying to make 1 million #requests with aiohttp client. How many requests per minute will aiohttp make? What kind of exceptions and crashes can you expect when you try to make such volume of requests with very primitive scripts? What are main gotchas that you need to think about when trying to make such volume of requests?

djangoproject

@djangoproject · Post #219 · 2017/01/04 22:43

https://www.blog.pythonlibrary.org/2012/06/08/python-101-how-to-submit-a-web-form/ Today we’ll spend some time looking at three different ways to make Python submit a web form. In this case, we will be doing a web search with duckduckgo.com#searching on the term “python” and saving the result as an HTML file. We will use Python’s included #urllib modules and two 3rd party packages: #requests and #mechanize. We have three small scripts to cover, so let’s get cracking!

djangoproject

@djangoproject · Post #536 · 2017/12/28 10:21

http://www.djangocrew.com/blog/how-startstopget-google-compute-instance-python/ In this post we gonna tell you about How to start/stop/get for the #google compute instance with python. Sometimes we don’t want (or need) a compute engine instance running 24hs every day but we need to run #task/s periodically. To solve this we can have an app engine task runing using cron service to start the VM instance. Once the VM has started, it can have a startup script that runs the actual task it was needed for and then stops the machine. #REST#Linux#Windows#requests

djangoproject

@djangoproject · Post #421 · 2017/08/21 10:39

https://alysivji.github.io/flask-part1-generating-html-pages-with-mongoengine-jinja2.html Generating HTML Pages from #MongoDB with #MongoEngine and #Jinja2 (Flask Part 1) Summary Overview of MongoDB Discussion of Object-Relational Mapping (#ORM) Use MongoEngine to get items out of MongoDB Render #HTML pages using Jinja2 Interact with #REST API to send emails with #Requests

djangoproject

@djangoproject · Post #420 · 2017/08/21 10:36

https://alysivji.github.io/mongodb-pipelines-in-scrapy.html #Scraping Websites into #MongoDB using Scrapy #Pipelines Summary Discuss advantages of using Scrapy framework Create #Reddit spider and scrape top posts from list of subreddits Implement Scrapy pipeline to send scraped data into MongoDB Sure, we could hack together a solution using #Requests and #Beautiful_Soup (bs4), but if we ever wanted to add features like following next page links or creating data validation pipelines, we would have to do a lot more work.

djangoproject

@djangoproject · Post #519 · 2017/12/10 18:14

https://blog.wallaroolabs.com/2017/12/stateful-multi-stream-processing-in-python-with-wallaroo/ #Wallaroo is a high-performance, open-source framework for building distributed stateful applications. In an earlier post, we looked at how Wallaroo scales #distributed_state. In this post, we’re going to see how you can use Wallaroo to implement multiple data processing #tasks performed over the same shared #state. We’ll be implementing an application we’ll call “Market Spread” that keeps track of the latest pricing information by stock while simultaneously using that state to determine whether stock order #requests should be rejected. #pipeline

djangoproject

@djangoproject · Post #224 · 2017/01/07 16:53

#AI #automated_testing #automation #asyncio #atexit #button #concurrency #Coroutines #data_mining #dropdownbox #Debian #decorators #django_cms #form #Google #Gym #intelligence #input #lists #machine_learning #map #Metaprogramming #Micro_services #monitoring #Multipart #multi_touch_apps #multiprocessing #Nodes #numerical #OAuth #package #pytest #python #requests #Requests #satellite #scrapy #scikit_learn #SciPy #searching #submit #selectbox #sessions #TensorFlow #text_boxes #text #telegram #Threads #tuples #Universe #urllib #upload