English | MP4 | AVC 1920×1020 | AAC 48KHz 2ch | 3h 02m | 819 MB
Quick-start your data science projects
Julia is an easy-to-read language invented by MIT. It uses a simple uncluttered syntax intended to make linear algebra, big data, and AI solutions easy to specify and quick to execute.
This course begins with an overview where you will learn how to install and run Julia. As well as the basics, you will explore Primitive, Abstract and Composite types. This course will teach you variables, scope (local and global, static and dynamic), and constants. With this course, you will be able to carry out string operations and pattern matching. You will further learn to control structures, functions, tasks, and blocks.
By the end of this course, you will have explored I/O and advanced fundamentals, by carrying out vector and matrix operations.
A complete course packed with step-by-step instructions, working examples, and helpful advice. This course is clearly divided into small chunks that will help you understand each part individually and learn at your own pace.
What You Will Learn
- Get started with Julia and its resources
- Code an iconic “Hello World!” program
- Implement simple linear algebra
- Work with syntax and some simple I/O.
- Manage variables, types (dynamic and static), variable scope, and operations
- Explore strings and functions, and control flows
- Use methods and constructors while processing
- Carry out vector and matrix operations