Julia Programming Language Course And Certification

What is Julia Programming?

Julia Programming Language is a high-performance, high-level, dynamic computer programming language. While it is an all-purpose language and can be used to write any software application, most of its features are very well suited for numerical analysis and computational science.

The distinctive aspects of Julia's design include a data type system that has parametric polymorphism in a dynamic programming language; with several dispatch as its core programming paradigm. Julia offers support for parallel, concurrent, and distributed computing and for the direct calling of C and Fortran libraries without any glue code. 

Julia is a garbage-collected language, makes use of eager evaluation, and it consists of efficient libraries for floating-point calculations, random number generation, linear algebra, and regular expression matching. Several libraries are available, which includes some that were formerly packaged with Julia and are now made separate.

Features and Benefits of Julia Programming Language

Julia is really good at carrying out scientific computing, but not restricted to doing just that, as it can also be used for web and all purpose programming tasks.

Some of Julia's features are mentioned as follows:

1. Julia is an expressive, modern, high-performance computer programming language that was designed for scientific computation and data manipulation.

2. It is designed and distributed for parallel computation.

3. Julia offers a well extensive library of mathematical functions that has great numerical accuracy.

4. While the Julia’s ecosystem is not as mature as C++,  R or Python , the growth rate of the penetration of the language is doubling by the day.

5. The Pycall package gives Julia the ability to call Python functions from within its code and MATLAB packages using the MATLAB.jl package. Functions and libraries that are developed in C can also be called directly without any need for new APIs or wrappers.

6. Julia provides a powerful shell-like capabilities for managing other processes that are in the system.

7. Unlike other languages, user-defined types in Julia are well compact and are quite fast as built-ins.

8. Scientific computations makes great use of vectorized code to gain more performance benefits. Julia eliminates the need to vectorize code to attain any performance. Devectorized codes that are written in Julia can be as fast as the vectorized codes.

9. Julia has an elegant and well extensible conversions and promotions for both numeric and other types. 

10. Julia is a free and open source language with an MIT license. 

Why Study Julia Programming Language

There are many benefits of the studying Julia Programming language, and some of them are:

1. Gain extensive development skills with Julia.

2. Julia makes use of cooperative multitasking, lightweight green threading also refered to as tasks or coroutines, or one-shot continuations. 

3. Julia has a very powerful type system. The conversions Julia provided by Julia Type systems are elegant and well extensible.

4. Julia has well efficient support for Unicode

5. Julia has several facilities for metaprogramming and for Lisp-like macros.

6. Julia has a built-in package manager known as Pkg.

7. Julia offers job opportunities and career advancement.

8. Enrich your CV and increase your earning potential.

Julia Programming Course Outline: 

Julia Programming - Getting Started

Julia Programming - Variables

Julia Programming - Integers and Floating-Point Numbers

Julia Programming - Mathematical Operations and Elementary Functions

Julia Programming - Complex and Rational Numbers

Julia Programming - Strings

Julia Programming - Functions

Julia Programming - Control Flow

Julia Programming - Scope of Variables

Julia Programming - Types

Julia Programming - Methods

Julia Programming - Constructors

Julia Programming - Conversion and Promotion

Julia Programming - Interfaces

Julia Programming - Modules

Julia Programming - Documentation

Julia Programming - Metaprogramming

Julia Programming - Multi-dimensional Arrays

Julia Programming - Missing Values

Julia Programming - Networking and Streams

Julia Programming - Parallel Computing

Julia Programming - Asynchronous Programming

Julia Programming - Multi-Threading 

Julia Programming - Multi-Processing and Distributed Computing

Julia Programming - Running External Programs

Julia Programming - Calling C and Fortran Code

Julia Programming - Handling Operating System Variation

Julia Programming - Environment Variables

Julia Programming - Embedding Julia

Julia Programming - Code Loading

Julia Programming - Profiling

Julia Programming - Stack Traces

Julia Programming - Performance Tips

Julia Programming - Workflow

Julia Programming - Style Guide

Julia Programming - Unicode Input

Julia Programming - Base

Julia Programming - Standard Library

Julia Programming - Developers Documentation

Julia Programming - Video Lectures

Julia Programming - Exams and Certification