
PyCharm: all about the most popular Python IDE
For several years, Python has been one of the most popular programming languages for application development. Its popularity is mainly due to the simplicity of
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For several years, Python has been one of the most popular programming languages for application development. Its popularity is mainly due to the simplicity of

Pandas is a library of the Python programming language, entirely dedicated to Data Science. Find out what this tool is used for, and why it

Big Data refers to the large amount of data collected by companies in all industries, analyzed to derive valuable insights. Find out everything you need

Data Analysts, Data Scientists and Data Engineers require Data, making database management a fundamental aspect of their work. A DataBase Management System (DBMS) is software

Apache Airflow is an open-source workflow scheduling platform, widely used in the data engineering field. Find out everything you need to know about this Data

Apache Spark is a unified, ultra-fast analytics engine for large-scale data processing. It enables large-scale analysis through cluster machines. It is mainly dedicated to Big

NoSQL is a type of database, whose specificity is to be non-relational. These systems allow the storage and analysis of Big Data. Find out everything

Seaborn is a Data Visualization tool in Python language. Discover all you need to know: presentation, use cases, benefits, training… Data Visualization is a technique

Algorithms are essential in computer science, especially for Data Science and Machine Learning. Find out everything you need to know about them: definition, functioning, use

If you are a follower of our blog, you already know what a neural network is (if not, feel free to read this article first)

A Perceptron is an artificial neuron, essential for Deep Learning neural networks. Discover its principle, its use, and its importance in Data Science. To understand

When we talk about database processing in python, we immediately think of the pandas library. However, when dealing with very large databases, calculations become too