Use the advanced features of Julia to work with complex data
Python from Scratch LiveLessons is a gentler, more entertaining, and more practical starting point to learning the Python programming language. Unlike the typical approach to teaching a programming language that covers each feature section by section, this course is structured more like a cooking class. You can follow along and execute all the code being demonstrated in an interactive notebook as you watch the video, much the same way you would watch a cooking video in your kitchen.
Reactive programming is shaping the future of how we model data. With reactive, not only can you concisely wrangle and analyze static data, you can effectively work with data as a real-time infinite feed. Reactive Extensions (Rx) first gained traction in 2009 and has been ported to over a dozen major languages and platforms.
Refine your data science skills with the heavy armory of tools provided by Julia
Learn everything you need to know about the popular Scala language with this comprehensive tutorial.
The R programming language has arguably become the single most important tool for computational statistics, visualization, and data science. With this Learning Path, master the basics that you'll need as a data scientist. You'll work your data like never before.
Unleash the powerful capabilities of R to work effectively with data.