Getting Started With Julia [Video]

Getting Started With Julia [Video]

Erik Engheim

Learn the new language Julia for high performance technical computing.
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Video Details

ISBN 139781786462978
Course Length9 hours 50 minutes

Video Description

Julia is a new programming language designed for the needs of data scientists, statisticians, scientific computing, and engineers. Usually these disciplines have had to use a variety of of tools and languages:

  • Matlab
  • Python with Numpy
  • R
  • C/C++ or Fortran for high performance

With Julia you can replace all these tools with one programming language, since it offers both flexibility and speed.

Julia is a young language with limited documentation and although rapidly growing, a small user community. Most developers today will know the object oriented paradigm used in mainstream languages such as Python, Java and C++. This presents a challenge switching to Julia which is more functionally oriented. This course will not only introduce the language, but also explain how to think differently about problems with the Julia approach.

Style and Approach

This course teaches the fundamentals of Julia to developers with basic knowledge of programming. It is taught in a hands on approach, with simple programming examples the student can try themselves. Building on that, it will invite the user to a tour of the ecosystem of Julia through practical code examples.

Table of Contents

Installation and Setup
The Course Overview
Downloading Julia
Setting up an Editor
Using the Julia REPL
Learning Basics in Julia
Numbers
Strings
Arrays
Control Flow
Functions
Variables
Dictionaries
Practical Usage of Functions
Working with Types
Inspecting Types
Type Hierarchies and Multiple Dispatch
Conversion and Promotion
Defining Your Own Types
Input and Output
Reading and Writing to Files
Networking
Dealing with Different File Formats
Modules and Packages
Using Modules
Networking
Reading and Writing CSV Files
Object-Oriented Programming
Interfaces
Maze Builder
Graphics Editor
Implementation Inheritance
Functional Programming in Julia
Higher Order Functions
Function Composition
Functional Approach
Functional Interpreter Pattern
Collections
Common Traits
Collection Types
Multidimensional Arrays
Sets
Type Unions
Introducing Type Unions
Code Reuse Through Type Unions
Parametric Types
Why Parametric Types?
Creating a Generic Collection
Pitfalls
Nullable
Debugging and Testing
Debugging Approaches
Writing Debuggable Code
Writing Tests
Metaprogramming
Debugging Approaches
Macros
Code Generation
Performance
Compilation
Abstract Versus Concrete Types
Type Stability

What You Will Learn

  • Introduce you to the language and the main concepts: control structures, data types and how to do input and output.
  • Explain how to adapt object oriented thinking to Julia and get you into a more functional way of thinking about programming challenges.
  • Cover many of the amazing ways Julia can increase both developer productivity through parametrized types, macros, code generation and utilizing existing libraries in other languages. Also learn how to write high performance Julia code.

Authors

Table of Contents

Installation and Setup
The Course Overview
Downloading Julia
Setting up an Editor
Using the Julia REPL
Learning Basics in Julia
Numbers
Strings
Arrays
Control Flow
Functions
Variables
Dictionaries
Practical Usage of Functions
Working with Types
Inspecting Types
Type Hierarchies and Multiple Dispatch
Conversion and Promotion
Defining Your Own Types
Input and Output
Reading and Writing to Files
Networking
Dealing with Different File Formats
Modules and Packages
Using Modules
Networking
Reading and Writing CSV Files
Object-Oriented Programming
Interfaces
Maze Builder
Graphics Editor
Implementation Inheritance
Functional Programming in Julia
Higher Order Functions
Function Composition
Functional Approach
Functional Interpreter Pattern
Collections
Common Traits
Collection Types
Multidimensional Arrays
Sets
Type Unions
Introducing Type Unions
Code Reuse Through Type Unions
Parametric Types
Why Parametric Types?
Creating a Generic Collection
Pitfalls
Nullable
Debugging and Testing
Debugging Approaches
Writing Debuggable Code
Writing Tests
Metaprogramming
Debugging Approaches
Macros
Code Generation
Performance
Compilation
Abstract Versus Concrete Types
Type Stability

Video Details

ISBN 139781786462978
Course Length9 hours 50 minutes
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