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Poor customer management can lead to lost revenue and damage a company’s reputation. Fortunately, there are tools available to help improve customer relationship management. One
Data Architecture encompasses all the practices and rules of a company around the use of data. Find out all you need to know about it:
Devops and Agile are two project management and software development methods. Their common objective is to improve productivity. The best thing for a company is
MeanShift is a clustering algorithm widely used in computer vision and data analysis. Find out everything you need to know about its history, how it
Data Mesh is a data architecture that simplifies collaboration and self-service. Find out more about this new paradigm, which is increasingly being adopted by businesses
In the previous two articles, we saw a first example of programming a Web API with Flask and how to connect a Web API to
Python is the most popular and widely used computer programming language, particularly in the fields of Data Science and Machine Learning. What’s more, Python is
Python has recently established itself as one of the leading programming languages for Data Science: easy to learn for people with a statistician’s background, well
Many data scientists hesitate between Python and Julia for their Machine Learning or data science projects. Discover the respective advantages and disadvantages of these two
Quantitative analysis is increasingly used in finance. Find out all you need to know about the “quant” profession: definition, history, benefits, training… In finance, quantitative
A Software Engineer is an engineer specializing in the creation of software. Find out everything you need to know about this profession, and about the
If the Data Manager and the Data Product Manager are two essential data professions, they have two very distinct roles. Discover all the differences between
