Since they have been invented in 2014, Jupyter notebooks have sparked many debates and controverses. For some, they are the indispensable tool if you want to build a Data discipline product, as they enable you to rapidly research your data and effort multiple device Learning models. But others argue that notebooks are a large liability for those trying to build a reliable and maintainable software as it is hard to make them evolve and to build automatic tests on top of them.
While any people want to get free of them and others want to improve them until they can completely replace classical IDEs, we will see in this talk that a 3rd way exits, as it is possible to enjoy the advantages of both tools if you know how to combine them.
Lecture took place on Wednesday, 22nd June at 18:10 in area 3
Victor Landeau:
I'm a french device learning engineer, passionate about combining Data discipline with the traiditionnal wisdom of Software Craftmanship and Agile Software development.
#IT #Development #SoftwareDevelopment
