All of us have cognitive limits and cognitive limits indicate that an individual's problem-solving capability is limited. EVENT: CppCon 2018 SPEAKER: Phil Nash PERMISSIONS: CppCon Organizer provided Coding Tech with the permission to republish this video. https://www.youtube.com/watch?v=rtyYBi7h3nc

Interactive notebooks like Jupyter have become more and more popular in the recent past and build the core of many data scientist's workplace. Being accessed via web browser they allow scientists to easily structure their work by combining code and documentation. Yet notebooks often lead to isolated and disposable analysis artefacts. Keeping the computation inside those notebooks does not allow for convenient concurrent model training, model exposure or scheduled model retraining. Those issues can be addressed by taking advantage of recent developments in the discipline of software engineering. Over the past years containerization became the technology of choice for crafting and deploying applications. Building a data science platform that allows for easy access (via notebooks), flexibility and reproducibility (via containerization) combines the best of both worlds and addresses Data Scientist's hidden needs. EVENT: PyCon.DE 2018 SPEAKER: Joshua Görner PERMISSIONS: Original video was published with the Creative Commons Attribution license (reuse allowed). CREDITS: Original video source: https://www.youtube.com/watch?v=bl1XSZy11vQ https://www.youtube.com/watch?v=NC2wXYHBrL0

The emergence of Web Assembly is starting to bear fruit to change the JavaScript mono-culture. WebAssembly allows to bootstrap higher level runtimes that can then execute higher level languages like .NET code. This is exactly the approach that Microsoft's Blazor framework takes. PERMISSIONS: Original video was published with the Creative Commons Attribution license (reuse allowed). CREDITS: Original video source: https://www.youtube.com/watch?v=cT2fzFBRZWU https://www.youtube.com/watch?v=_CbnqrDQanU