CSS3: All you need to know about this programming language
When you surf the web, the sites you visit are a harmonious combination of content (text, images, videos) and presentation. But have you ever imagined
🚀 Think you’ve got what it takes for a career in Data? Find out in just one minute!
When you surf the web, the sites you visit are a harmonious combination of content (text, images, videos) and presentation. But have you ever imagined
Programming a graphics application is greatly simplified if you use OpenGL, because you can then have a program that runs on a wide variety of
Every frequent Excel user has had to perform repetitive tasks. Whether it’s calculating sums, formatting data or selecting cells, performing these tasks by hand can
To optimize their data management and analysis, companies generally use two Data Science solutions: the data lake and the data warehouse. These two technologies offer
In today’s digital world, where online applications and services have become indispensable, error monitoring and management are essential aspects of software development. Sentry has proven
Have you heard of Grafana, the open source solution for analyzing and monitoring our online systems? Recently, its developers decided to abandon the Apache 2.0
Inspired by a group of citizen data scientists, Pycaret aims to democratize machine learning for everyone. So what exactly is it? And above all, what
Software development is based on several stages characterized by the PDCA or Plan – Do – Check – Act principle. One of the most important
In the age of Big Data, the problem is no longer access to data, but understanding it. And with good reason: the sheer volume of
To manage and analyze functional data, data experts can use a wide variety of tools. These include SQL and Panda and tghe Pandas Read SQL
Kruskal’s algorithm for optimizing connections within a network is one of the key concepts in Machine Learning. Find out how it works and why it’s
La divergence de Kullback-Leibler est une mesure de similarité entre deux distributions de probabilité, très utilisée pour l’analyse de données et le Machine Learning. Découvrez