The proper naming of variables, functions, methods, and classes is one of the most important attributes of elegant and clean code, that clearly reflects the intentions of the programmer, without assumptions about what was meant.
In this article, we will talk about code that is the exact opposite of the one described above — about code that was written carelessly or thoughtlessly.
This article is a small confession, because I, like any other programmer, have also written such code in the past (in fact, I still write the bad code sometimes, though refactoring makes it much better). …
We have already published how to generate mock data with the help of a Python library — Mimesis. The article you are reading now is the continuation of the previous one, therefore, we will not be going over the basics again. In case you missed out on the first article or you felt lazy at the time, you might want to go back to it now since this article assumes you are familiar with the library. Here we are going to speak about best practices and a number of most useful features of the library.
First of all we would…
The ability to generate mock but valid data comes in handy in app development, where you need to work with databases. Filling in the database by hand is a time-consuming and tedious process, which can be done in three stages — gathering necessary information, post-processing the data and coding the data generator itself. It gets really complicated when you need to generate not just 10–15 users, but 100–150 thousand users (or other types of data). …
If you are interested in Open Source and are considering joining the community of Open Source developers, it is possible that in this list you will find the project that will suit you (In fact I am sure that you will find).
Here are you can see the really big list of really interesting Open Source projects on languages such as Elixir, Erlang, Haskell, Clojure, Python, Ruby, Lua, JS, Go, C++, Swift, Bash, R and etc.
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Software Engineer: Python, Erlang and JS.