Introduction Today we are going to talk about two ways of testing in Apache Airflow. Historically, testing in Airflow has been something that has been a headache for all users of the famous framework. The coupling of the code with…
Introduction PyCharm is an IDE developed by JetBrains for Python. As an IDE, its goal is to provide the programmer with a set of features that make code development in this language more efficient. For example, it automatically writes import…
Introduction Function overloading is a very interesting tool that allows several different functions to share the same identifier, improving the readability and interpretability of our code in some scenarios. This tool is available by default in many of today’s most…
Introduction Modeling and explaining the consumer behavior of a product is very important to know what factors affect their behavior, price being one of these important factors. Let’s take as an example a company X that sells clothing. It is…
Introduction Software tests are tests that are performed on a piece of code or an entire software to validate that the behavior of the software is as expected. The main purpose of testing is to detect errors in the code…
Introduction A linear regression is a model that is used to approximate the linear relationship between a dependent variable Y and a set of independent variables X. In matrix format it can be expressed as where ε is a vector…
Introduction In this post we are going to talk about how DBT integrates with Spark and how this integration can be useful for us. DBT is a framework that facilitates the design of data modeling throughout the different data modeling…
Introduction In a previous blog article, 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…
Introduction 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…
Introduction 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…