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Python annotations provide additional information on variables or functions. In particular, they can be used to improve code readability, or to detect errors via an
Do you work with tables and want to know the number of elements in a column or with a filter? The COUNT() aggregation function in
Fake news! This term has been in fashion for some years now. It’s all about the reliability of information. And that’s precisely why data sources
Data wrangling involves preparing data so that it can be analysed. This process is an essential step in Data Science, and requires specific skills and
Data drift occurs when the data on which the model is run differs too greatly from the training data. This problem must be detected and
Series of data spread over several rows often lack legibility. To make it easier to interpret the information in an Excel table, it’s best to
NetworkX is a very useful python library for modelling your data in the form of graphs. It also contains some classic graph theory algorithms (Dijkstra,
It’s highly likely that you use applications that make use of Deep Learning models in your day-to-day work. Translation, ocr, facial recognition… Many of your
Spark Streaming is an innovative solution for real-time data processing. It is a component of the Apache Spark framework that offers exceptional performance, scalability and
Python Nose is a Python-based test automation framework based on the standard unittest library. Find out more about its advantages and features, the differences between
In the age of Big Data, a number of jobs have emerged, including that of Data Scientist. If you’ve never heard of them, then I
The problem of producing increasingly dynamic and intuitive maps is a major challenge for the digital transformation of the 21st century. The uMap editing and
