PyScript leverages on the web browser to act as a ubiquitous virtual machine to deliver unprecedented Data Science use cases. Data Visualisation is the first and perhaps the most straightforward context in which PyScript can have its say. In this talk, we will present how PyScript can change the way data visualisation apps can be designed and delivered for complex data science use cases. PUBLICATION PERMISSIONS:
PyData provided Coding Tech with the permission to republish PyData talks. CREDIT:
PyData YouTube channel: https://www.youtube.com/c/PyDataTV https://www.youtube.com/watch?v=Xd-tmhdLJp0

Check out Ashley Davis's book 📖 Bootstrapping Microservices with Docker, Kubernetes, and Terraform | http://mng.bz/YGge 📖 To save 40% on Ashley's book use the DISCOUNT CODE ⭐ watchdavis40 ⭐ Explore how to build microservices with Node.js. Learn when and why to use them. Watch the full video at: http://mng.bz/2nqN 📚📚📚
Bootstrapping Microservices with Docker, Kubernetes, and Terraform | http://mng.bz/YGge
To save 40% off this book use discount code: watchdavis40 📚📚📚 About the book:
In Bootstrapping Microservices with Docker, Kubernetes, and Terraform, author Ashley Davis lays out a comprehensive approach to building microservices. You’ll start with a simple design and work layer-by-layer until you’ve created your own video streaming application. As you go, you’ll learn to configure cloud infrastructure with Terraform, package microservices using Docker, and deploy your finished project to a Kubernetes cluster. https://www.youtube.com/watch?v=t7T3zfWd5aI

Signatures are a mathematical tool that arise in the study of paths. Roughly speaking, they capture the fine structure of a path. It turns out that signatures are extremely useful for analysing time series data in a data science context. This is party because they can take irregularly sampled, highly oscillatory data and produce a single array of values of fixed size which can then be used as features in predictors etc. In this talk I will give a brief introduction to signatures and give a brief demonstration of how you can use them to analyse time series data. No mathematical background will be assumed. Slides: https://github.com/inakleinbottle/talks/blob/9e6cdcb74dae62767a851194530fca6bcbdb6aa6/signatures-methods-for-time-series-data.pdf PUBLICATION PERMISSIONS:
PyData provided Coding Tech with the permission to republish PyData videos. CREDITS:
PyData YouTube channel: https://www.youtube.com/c/PyDataTV https://www.youtube.com/watch?v=xfjMY8CF0lw