Recent talks

Gatsby js talk and workshop

In this talk, I re-introduced Gatsby as a modern web framework for building blazing fast websites and apps, answered the "what? why and how?" questions with a demo at the end, built a blog and deployed to ZEIT now.

Mar 08, 2020

Build a blog with Contentful and Gatsby

talked about headless CMS, why it's better than traditional CMS, micro introduction to Gatsby, what's the JAMStack...

Feb 29, 2020

The evolution of grid systems on the web

talked about CSS Grid systems, the reason we need them, life before/after CSS and the clearfix hack, flexBox and CSS Grid

Feb 27, 2020

Introducing Gatsby, — The modern web framework for building blazing fast websites and apps.

In this talk, I re-introduced Gatsby as a modern web framework for building blazing fast websites and apps, answered the "what? why and how?" questions with a demo at the end of a static website consuming data from a single YAML file and deployed to ZEIT now in less than 10s.

Dec 17, 2019

Building static & dynamic apps with Gatsby

In this talk, I covered the same points I mentioned in my previous Gatsby talk as most of the attendees haven't any idea what Gatsby was, then I jumped into the dynamic Not Todo app I built during that morning which is connected to a REST API built quickly with express & mongoDB, I went through how to setup the routes using reach-router & how to use the "createPages" Gatsby API to create that page (since it's a SPA, there is only one page generated).

May 14, 2019

Introducing Gatsby, the best SSG for React developers.

In this talk, I introduced Gatsby to developers, which is one of the three choices you'd consider when building a React app, it offers pre-rendering, has a huge community who have shipped many Gatsby plugins that help make the process easy, I discussed about what's so awesome about it, how it renders content & built a blog with markdown files in 5 minutes live coding with the attendees.

Feb 14, 2019

The Perceptron - Understanding the maths under the hood

During this talk, I covered a brief history about Ai, defined ML/DL & explained the difference between the two, started by recognizing an unknown type of flower from basic data we collected and how intuition managed to draw a line between the two types of flowers from our dataset, then I moved on to automate what we manually did and ended up making a Perceptron from scratch.

Apr 03, 2018

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