I built a library that helps you build UIs that render to pure SVG (no HTML, no CSS). It handles layout without relying on the browser's layout engine, implements its own shape picking system, events, provides a scrollable text-wrapping component, replaces the browser's input element with a new one, supports drag-and-drop, has a built-in dynamic layout editor, and is currently a React library
How do you leverage web technologies for visualizing speech? We'll cover a bit of the theory behind the Web Audio apis and libraries. Then we'll look at different ways we can visualize the vocal audio data. Finally, we'll explore more advanced techniques such as real time vocal analysis.
I had a requirement to show tens of thousands of rows of data for a client, the solution? Use immediate drawing mode canvas to create a virtual table of much data.
I'd like to talk about algorithm complexity (big O notation) issues encountered while dealing with large arrays and in general how it effects front end web performance. If there's time, we can even go over using the web component spec to create the project aka the new hotness.
A few months ago I built a small web page, that supposed to be integrated into the existing mobile app within a webview. Even though that was only one page, it was a checkout page, so there were a lot of things going on there: a lot of API calls to verify the data, need to decrypt the params that were passed there, additionally would need to encrypt the response as well. First thought was - to build an server app that would return simple HTML/CSS and may have some vanila JS. But that looks too much for hosting one page, and I was really worry about scaling of it, we expected a huge peaks of load. And the final decision was to have AWS lambda render a page for us. So the talk would be about SSR of React app in cloud functions (particularly aws lambda).
Machine learning is everywhere, but how easy is it to get started? Could your small project benefit from some simple ML? In this talk, we will cover the very basics of artificial intelligence, as well as learn a Python-free approach to big data, basic algorithms, and how easy all of this is to implement in your average shopping cart with a single Node.js file.
What if the value of every good or service was formally recognized as a million-element heterogeneous vector instead of a single scalar ironically dubbed the “price?” In this blue sky talk, I propose a way to leverage augmented reality, machine learning, computer vision, and MMO game design to deliver a wholesale replacement for our current system of commerce.
I'd love to talk about what it's like to build an early stage product with an outsourced team, both the pros and cons. First with a team in China, then in the Ukraine with a CTO here, then solely with a team in the Ukraine + NYC. Learnings that can be applied to teams big and small, especially in the early stages of a product.
This talk is about the concept of "cross-platform rendering," where one set of view-layer primitives can be used as abstractions to render across different platforms' view-APIs. "Web? iOS & Android? TV!? All with one 'effin set of templates?" Youbetcha. This talk will focus on how React Native is used for cross-platform development, and cover some of the prominent technologies and challenges involved in making "Universal" React Native apps for web and mobile.