This is a gentle introduction to foundational concepts of GraphQL. In illustrating the core concepts, we gain a greater understanding of what makes GraphQL such a transformative technology, and a greater appreciation for the value it can provide for an application. We will go into some detail of the problems that GraphQL is trying to solve and how it solves them. We will end with a section on integration into an existing backend. This is primarily focused on an existing RESTful backend, but can be substituted to any data storage mechanism, e.g. MySQL, Mongo, etc. We’ll have a number of code examples and repos at the end so you can dive further into some real code powered by both server and client-side GraphQL technologies. Let’s do it! EVENT: NebraskaJS 2018 SPEAKER: Dustin Schau PERMISSIONS: Original video was published with the Creative Commons Attribution license (reuse allowed). CREDITS: Original video source: https://www.youtube.com/watch?v=R6rqjcBLibQ https://www.youtube.com/watch?v=1c4M7fYs1Jk

Watch this great talk to learn about the Python's data model as well as pythonic way of programming! EVENT: IndyPy 2018 SPEAKER: Neal Thomison PERMISSIONS: Original video was published with the Creative Commons Attribution license (reuse allowed). CREDITS: Original video source: https://www.youtube.com/watch?v=ZYdCDUfnVtk https://www.youtube.com/watch?v=GrwV2hi4XHg

Time series data is ubiquitous, and time series modeling techniques are data scientists’ essential tools. This presentation compares Vector Autoregressive (VAR) model, which is one of the most important class of multivariate time series statistical models, and neural network-based techniques, which has received a lot of attention in the data science community in the past few years. EVENT: PyData New York City 2017 PERMISSIONS: PyData Organizer provided Coding Tech with the permission to republish this video. CREDITS: Original video source: https://www.youtube.com/watch?v=_vQ0W_qXMxk https://www.youtube.com/watch?v=2LSs1kYWy9M