When tackling your complex software projects how do you choose to manipulate your data? Do you understand the implications of calling .sort() on your array or how to choose between client-side and server-side work loads? Does the way you code and solve problems have implications for user experience (hint: it does).

In this talk we’ll go back to some computer science basics to discuss how to classify algorithm complexity, how to assess your algorithms and code, the relationship between algorithms and data structures, and why all this matters. We’ll look at some common algorithms along with performance implications for both API and DOM code in the browser. All code samples will be in TypeScript.