Increasing performance by using proper query structure
Earlier in our previous article "Improve efficiency of your SELECT queries" we discussed ways to profile and optimize the performance of SELECT queries. However, to write complex yet efficient SQL queries, there is a thing to remember about.
Designing database architecture is a challenging task, and it gets even more difficult when your app keeps getting bigger. Here are several tips on how to manage your data structure in a more efficient way.
Nowadays, when every second large company has developed its own instant messenger, in the era of iMessages, Slack, Hipchat, Messager, Google Allo, Zulip and others, I will tell you how to keep up with the trend and write your own chat, using django-channels 0.17.3, django 1.10.x, python 3.5.x.
Welcome all who are reading this article. I was given a task of creating a parser (spider) with the Scrapy library and parsing FTP server with data. The parser had to find lists of files on the server and handle each file separately depending on the requirement to the parser.