Pre-Compiler

14 01, 2017

Shiny, Let’s Be Bad Guys: Exploiting and Mitigating the Top 10 Web App Vulnerabilities

By |2017-01-14T09:10:39-05:00January 14th, 2017|

The Internet is a dangerous place, filled with evildoers out to attack your code for fun or profit, so it's not enough to just ship your awesome new web app--you have to take the security of your application, your users, and your data seriously. You'll get into the mindset of the bad guys as we discuss, exploit, and mitigate the most common web app security flaws in a controlled environment. We'll discuss each kind of the most prevalent security flaws at the theoretical level; then using a specially-crafted, deliberately vulnerable app, individuals or pairs will carry out exploits against these [...]

14 01, 2017

React Everywhere: Three Platforms with One Framework (Part 2)

By |2017-01-14T09:10:38-05:00January 14th, 2017|

React is more than just the hottest client side framework. React is also a viable option on the server and mobile, and you can share more code between all these platforms than you probably think! In the morning we’ll learn about React and its ecosystem and write a web application. We’ll also learn how to reuse React components on both the server and client. This will be a great introduction if you’re new to React. In part two, we’ll add mobile as an additional client using React Native. We’ll see how we can structure our project to reuse as many [...]

14 01, 2017

Practical Data Science with R (Part 2)

By |2017-01-14T09:10:38-05:00January 14th, 2017|

Data science is the practice of transforming data into actionable insight. R is the most popular open-source programming language currently in use by data scientists. In our data-driven economy, this combination of skills is in extremely high demand, commanding significant increases in salary, and is revolutionizing the world as we know it. In this workshop, we’ll learn about the practice of data science, the R programming language, and how they can be used to answer day-to-day questions about your business. In addition, we’ll learn how to transform and clean our data, create and interpret descriptive statistics, data visualizations, and statistical [...]

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