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Netflix a popularisé la pratique du binge-watching, laquelle consiste à regarder en continu plusieurs épisodes d’une série, des heures durant. Mais pour en arriver là, la société collect

Today, we’re pleased to announce Pachyderm 1.7! Install it now or migrate your existing Pachyderm deployment. For those new to the project, Pachyderm is an open source and enterprise data science…

As I am taking the great fast.ai course about deep learning, I learn a lot of neat things that can be applied to general software engineering. I am writing this article to summarize these skills and…

In A Beginner’s Guide to Data Engineering — Part I, I explained that an organization’s analytics capability is built layers upon layers. From collecting raw data and building data warehouses to…

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I loved chemistry, math and working in a laboratory. I was really passionate about it. I could do these things all day and it would be a great day. As I enrolled in my Master’s Degree in…

ve learned so much that sometimes it’s difficult to explain every little detail. So I thought I’d start by writing about the fundamentals of making a good and accurate visualisation I’ve gathered so far. I’m writing this for everyone that might be interested in this topic and, as me, is still in the beginning.

The more experienced I become as a data scientist, the more convinced I am that data engineering is one of the most critical and foundational skills in any data scientist’s toolkit. I find this to be…

The open-source community has developed strong foundations for reproducible source code. Git supports versioning, GitHub supports collaboration. PyPI and Conda deliver code in immutable packages…

One of the tools I’m deeply interested but haven’t had many chances to explore is Apache Spark. Most of the time, Pandas and Scikit-Learn is enough to handle the size of data I’m trying to build a…

Depuis SQL server 2016, Microsoft nous met à disposition un nouveau système d'analyse. Ce système a pour objectif de plugger, en temps réel, un cube

Fifteen years ago, there were only a few skills a software developer would need to know well, and he or she would have a decent shot at 95% of the listed job positions. Those skills were: SQL was a…

Study and analysis of the data is the very first step of any data science work. You need to get the general information about the nature and distribution of the data to plan your workflow…

Discover how to create a data frame in R, change column and row names, access values, attach data frames, apply functions and much more.

We are proud to announce the beta release series of JupyterLab, the next-generation web-based interface for Project Jupyter. Project Jupyter exists to develop open-source software, open standards…

Ability to write a production-level code is one of the sought-after skills for a data scientist role— either posted explicitly or not. For a software engineer turned data scientist this may not sound…