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Изворен канал @pythonotes · Post #203 · 18 јан.

Бывает начинающие в процессе обучения создают файлы с именем модуля который они изучают. В результате на тестовых запусках ничего не работает😱 Всё потому, что появилась коллизия имён. Например, изучаете вы модуль datetime, и создаёте с таким именем файл (ну логично же😄) прямо в рабочей директории. Потом, при попытке импортировать datetime модуль, из-за приоритета импорта будет импортирован файл из рабочий директории а не оригинальная библиотека. Ведь имя файла это суть имя модуля! А знаете ли вы, что не все стандартные модули можно так перезаписать? Коллизии имён не подвержены builtin модули. Они всегда стоят на первом месте в приоритете импорта, поэтому их нельзя заменить. Полный список таких модулей можно посмотреть в списке sys.builtin_module_names. То есть, вы сломаете весь Python если назовёте свой модуль os или site, но если назовёте time или gc то ничего страшного не случится))) Тем не менее, никогда не называйте модули уже занятыми именами!!!⚠️ Я всегда рекомендую всем своим файлам делать именной префикс из 2-3 символов. Например я называю свои проекты так: pw_project_name pw_ui_tools.py pw_something/main.py Либо под ситуацию tst_scriptname.py (не "test" чтобы не подхватывал pytest) dbg_script.py maya_ui.py hou_menu_tools.py И искать проще, и коллизий нет. #tricks#basic

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djangoproject

@djangoproject · Post #268 · 26.02.2017 г., 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 · 04.01.2017 г., 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 · 28.12.2017 г., 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 · 21.08.2017 г., 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 · 21.08.2017 г., 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 · 10.12.2017 г., 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 · 07.01.2017 г., 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