Track - Develop All the Things

A number of intro sessions to get you started on the latest frameworks and technology trends. If you attend all the sessions in this track, you'll have a great start to understanding the current full stack development environment. Data Science, Git, Node, Python and more!

Ctrl+Z for Git: How to undo (almost) anything

Tobiah Zarlez

At some point you or someone on your team will make a mistake. It’s a question of when, not if. Now you need to know, how exactly do you undo that snafu? In this talk Tobiah Zarlez will get you back to work like nothing bad ever happened.

Entry Point Node

Jeremy Foster

A total noobs guide to Node.js. Node.js is taking the world by storm and developers can no longer afford to avoid it. Nor should you want to! Writing JavaScript went from ugh to awesome thanks to things like ES6 and TypeScript.

Getting started with BASH on Windows 10

Jessica Deen

In this session we will cover some new features in Windows 10 and, more specifically, the addition of BASH on Ubuntu to the Windows offering. We will cover what it is and how it works on Windows, and ultimately how to get BASH up and running.

Mastering VSCode: Building your first extension

Jason Poon

Come and learn some tips and tricks for using VSCode and see first-hand how to build and publish a VSCode extension.

Overview and Roadmap of the .NET Platform

Beth Massi

This session will help you get an understanding of the big .NET picture, where .NET Framework, .NET Core, and Xamarin fit in, where .NET is headed in the future, and how you can get started learning .NET & C# no matter what operating system you use.

Introduction to Python

Tim Reilly

In this 100 level Python course, we'll familiarize ourselves with one of the most popular programming languages in the world and learn effective techniques for building and sharing code.

So you want to be a data scientist?

Andrew Moll

You've seen the memo and heard the whispers...Want to learn how you can get started? Come find out what it takes to become a data scientist!