numpy and numba are popular Python libraries for processing large quantities of data. This talk explains how numpy/numba work under the hood and how they use vectorisation to process large amounts of data extremely quickly. We use these tools to reduce the processing time of a large, real 600GB dataset from one month to 40 minutes, even when the code is run on a single Macbook Pro. EVENT: PyData Warsaw 2018 SPEAKER: Donald Whyte PERMISSIONS: PyData provided Coding Tech with the permission to republish this video. CREDITS: PyData YouTube channel: https://www.youtube.com/channel/UCOjD18EJYcsBog4IozkF_7w https://www.youtube.com/watch?v=nmYyISMdOqY

Some modern malware are designed entirely in Javascript and executed using the default Windows Script Host or within the user's browser. In this talk, we discuss the design, operation, and implementation intricacies of Javascript-based ransomware and cryptojacking malware. EVENT: CascadiaJS 2018 SPEAKER: Pranshu Bajpai PERMISSIONS: Original video was published with the Creative Commons Attribution license (reuse allowed). CREDITS: Original video source: https://www.youtube.com/watch?v=aoCRE0WoFx8 https://www.youtube.com/watch?v=Piz40rRiEPY

In this session, Irina will also cover how designing at scale is crucial to success and explore how a design system can speed up your innovation process and allow you to spend more time being smart and less time pushing pixels. EVENT: ThoughtWorks Talks Tech 2018 SPEAKER: Irina Chiew PERMISSIONS: Original video was published with the Creative Commons Attribution license (reuse allowed). CREDITS: Original video source: https://www.youtube.com/watch?v=0m0hvfrX-8U https://www.youtube.com/watch?v=59IeIeS8Hdk