Software Engineering

Is concurrency always the best choice? Let’s find out — This article aims to demonstrate when using concurrency can be more beneficial depending on your program’s workload type. Therefore, I will not cover popular concurrency terms such as goroutines, wait groups, channels, and data races, among many others. I have in mind creating a series of articles explaining useful examples…

ChatGPT can make the life of anyone who works with data easier. — ChatGPT can do many cool things. One of them is writing code. You only need to give the right instruction and ChatGPT will do the job for you. It can help you create SQL queries using natural language, solve your coding questions, translate your Python code to R, Java, Julia…

Shitify.js is a new tool that’s shaking up the world of software development. It’s a reverse linter, which means it adds errors to your code. It’s simple to use. Just install it with npm: npm install -g shitify shitify myCode.js Now your code is full of errors! This might sound…

There are many less-known Python magic methods—let’s find out what they do and how we can use them in our code — Python’s magic methods — also known as dunder (double underscore) methods — can be used to implement a lot of cool things. Most of the time we use them for simple stuff, such as constructors (__init__), string representation (__str__, __repr__) or arithmetic operators (__add__/__mul__). There are however many more magic…

A brief introduction to various types of data workloads — Introduction Databases are storage and processing products. They take data in from applications and store them. When you issue queries, database engines process them and give you back the output of your queries. The kinds of data captured by applications and how it is used by their users vary tremendously. Early…