Refine your data science skills with the heavy armory of tools provided by Julia
About This Video
In Detail
Julia is an easy, fast, open source language that if written well performs nearly as well as low-level languages such as C and FORTRAN. Its design is a dance between specialization and abstraction, providing high machine performance without the sacrifice of human convenience. Julia is a fresh approach to technical computing, combining expertise from diverse fields of computational and computer science.
This video course walks you through all the steps involved in applying the Julia ecosystem to your own data science projects. We start with the basics and show you how to design and implement some of the general purpose features of Julia. Is fast development and fast execution possible at the same time? Julia provides the best of both worlds with its wide range of types, and our course covers this in depth. You will have organized and readable code by the end of the course by learning how to write Lisp style macros and modules.
The course demonstrates the power of the DataFrames package to manage, organize, and analyze data. It enables you to work with data from various sources, perform statistical calculations on them, and visualize their relationships in different kinds of plots through live demonstrations.
Julia for Data Science takes you from zero to hero, leaving you with the know-how required to apply
Over the past ten years Packt Publishing has developed an extensive catalogue of over 2000 books, e-books and video courses aimed at keeping IT professionals ahead of the technology curve. From new takes on established technologies through to the latest guides on emerging platforms, topics and trends – Packt's focus has always been on giving our customers the working knowledge they need to get the job done. Our EDUfyre courses continue this tradition, bringing you comprehensive yet concise video courses straight from the experts