In this session, Cassie Tarakajian joins us to talk about all things p5.js, the Processing Foundation, and open source software.
Moore's law enables great progress, but often it's the underlying algorithms that drive computer science forward.
In the second edition of our Level Up series, we explore how to create shapes, animations, and art using p5.js.
In this series, we look at the most loved languages according to the Stack Overflow developer survey, the spread and use cases for each of them and collect some essential links on how to get into them. First up: Rust.
Rather than dig into complex math or over-simplify by using a pre-written function, we'll write our own binomial test function, primarily using base Python. In the process, we'll learn more about how hypothesis testing works and build intuition for how to interpret a p-value.
IaC allows developers to supply IT environments with multiple lines of code and can be deployed in a matter of minutes (in contrast to manual infrastructure, which can take hours if not days to be deployed).
While many introductory statistics classes teach the CLT, very few actually attempt to prove it because that requires some complex math. In this session, we'll bypass all that math by using Python loops to simulate the CLT.
Comparing summary statistics like the mean and median can help us understand how these variables are related, but we can learn even more by using visualizations.