Resources by Type

Video's

Node JS Tutorial for Beginners

Yo ninjas, in this Node JS tutorial series for beginners, we'll be walking step by step through what Node JS is, and how it all works. We'll also be creating a Node JS application from scratch using express, and hook it up to MongoDB - a noSQL database perfect for using with Node.

Git & GitHub Tutorial for Beginners

Howdy gang. In this Git tutorial I'll explain why we should be using git for all of our projects - and the benefits of doing so. We can also use GitHub to host our repositories online, which is especially good for collaborating with other developers!

Node.js Basics

Part of a complete node.js series, including the usage of Express.js and much more! This video is the introduction to the overall series of videos.

Blender 3D Tutorials

In the first tutorial in the Blender Bootcamp Series, we'll go over how to organize a project so that you can easily find everything you are looking for, even if you are coming back to a project a year after creating it.

Python OOP Tutorials

Python Object-Oriented Tutorials. In this series, we will be learning how to create classes in Python, and also the best practices for working with these classes. We will go over class/instance variables, inheritance, getters/setters, and much more.

Spark Screencasts (Youtube)

In this screencast, we (1) take a quick tour of the documentation available for Spark users online, (2) download and build Spark on a local machine (running OS X, but should be a similar process for Linux or Unix), and (3) Introduce the API using the Spark interactive shell to explore a file.

Learn Python for Data Science

Welcome to the 1st Episode of Learn Python for Data Science! This series will teach you Python and Data Science at the same time! In this video we install Python and our text editor (Sublime Text), then build a gender classifier using the sci-kit learn library in just about 10 lines of code.

Intro to Tensorflow

This video is all about building a handwritten digit image classifier in Python in under 40 lines of code (not including spaces and comments). We'll use the popular library TensorFlow to do this.