This post is about the impact that blocking code can have on an application and the importance of using libraries that natively support asynchronous programming. The goal is to understand that a blocking call is always blocking. In the article,…
In a previous post, we analyzed from a theoretical point of view which are the main libraries for data science and machine learning used by data scientists to treat data efficiently and extract its full potential. In this post, we…
Data science is an interdisciplinary area that deals with extracting knowledge and useful information from data. Given the large amount of data generated by companies, it is important for data scientists to have tools that facilitate the manipulation, analysis and…
Regression is a statistical methodology that describes the relationships between a continuous explained variable and a set of explanatory variables. In other words, regression models are able to predict the value of a dependent variable y with respect to a…
In the last few years, we have seen a great evolution in the Python programming language as it has gained popularity to become one of the most widely used programming languages. The involvement of the community with the development of…
We are all familiar with the concept of Linear Programming or Linear Optimization, that branch of mathematics that is dedicated to optimizing (maximizing or minimizing) a linear objective function subject to constraints in the form of equations and/or inequalities. Although…
It has been about a year since I started developing some things in Go. At first, it was an unknown language to me. I only knew that it was a “typed” language, compiled and memory safe through a GC (Garbage…
Dynamic programming Dynamic programming (DP) is a computer programming method which consists in breaking down a complex problem into smaller problems, usually in a recursive way. Then, these problems are solved one at a time, typically storing the already computed…
Why use MongoDB? MongoDB is a document oriented NOSQL open source database, which means that data does not necessarily have to follow a certain schema. This makes MongoDB an ideal candidate as a database for big data workloads as it…