Getting Started With Julia

Getting Started With Julia, available at $34.99, has an average rating of 3.75, with 49 lectures, based on 112 reviews, and has 944 subscribers.

You will learn about 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. This course is ideal for individuals who are While Julia has been designed for technical computing it is a programming language well suited in a number of other areas as well. It is particularly useful for While Julia has been designed for technical computing it is a programming language well suited in a number of other areas as well.

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Summary

Title: Getting Started With Julia

Price: $34.99

Average Rating: 3.75

Number of Lectures: 49

Number of Published Lectures: 49

Number of Curriculum Items: 49

Number of Published Curriculum Objects: 49

Original Price: $109.99

Quality Status: approved

Status: Live

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.

Who Should Attend

While Julia has been designed for technical computing it is a programming language well suited in a number of other areas as well.

Target Audiences

While Julia has been designed for technical computing it is a programming language well suited in a number of other areas as well.

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.

About the Author

Erik Engheim is a professional mobile developer with experience in many different programming languages, often in combination. Erik Engheim has worked with C/C#, Java, C++, Objective-C, and Swift before moving into Julia. His experience with Julia involves automation, and high performance processing of code strings.

Course Curriculum

Chapter 1: Installation and Setup

Lecture 1: The Course Overview

Lecture 2: Downloading Julia

Lecture 3: Setting up an Editor

Lecture 4: Using the Julia REPL

Chapter 2: Learning Basics in Julia

Lecture 1: Numbers

Lecture 2: Strings

Lecture 3: Arrays

Lecture 4: Control Flow

Lecture 5: Functions

Lecture 6: Variables

Lecture 7: Dictionaries

Lecture 8: Practical Usage of Functions

Chapter 3: Working with Types

Lecture 1: Inspecting Types

Lecture 2: Type Hierarchies and Multiple Dispatch

Lecture 3: Conversion and Promotion

Lecture 4: Defining Your Own Types

Chapter 4: Input and Output

Lecture 1: Reading and Writing to Files

Lecture 2: Networking

Lecture 3: Dealing with Different File Formats

Chapter 5: Modules and Packages

Lecture 1: Using Modules

Lecture 2: Networking

Lecture 3: Reading and Writing CSV Files

Chapter 6: Object-Oriented Programming

Lecture 1: Interfaces

Lecture 2: Maze Builder

Lecture 3: Graphics Editor

Lecture 4: Implementation Inheritance

Chapter 7: Functional Programming in Julia

Lecture 1: Higher Order Functions

Lecture 2: Function Composition

Lecture 3: Functional Approach

Lecture 4: Functional Interpreter Pattern

Chapter 8: Collections

Lecture 1: Common Traits

Lecture 2: Collection Types

Lecture 3: Multidimensional Arrays

Lecture 4: Sets

Chapter 9: Type Unions

Lecture 1: Introducing Type Unions

Lecture 2: Code Reuse Through Type Unions

Chapter 10: Parametric Types

Lecture 1: Why Parametric Types?

Lecture 2: Creating a Generic Collection

Lecture 3: Pitfalls

Lecture 4: Nullable

Chapter 11: Debugging and Testing

Lecture 1: Debugging Approaches

Lecture 2: Writing Debuggable Code

Lecture 3: Writing Tests

Chapter 12: Metaprogramming

Lecture 1: Debugging Approaches

Lecture 2: Macros

Lecture 3: Code Generation

Chapter 13: Performance

Lecture 1: Compilation

Lecture 2: Abstract Versus Concrete Types

Lecture 3: Type Stability

Instructors

Packt Publishing
Tech Knowledge in Motion

Rating Distribution

1 stars: 3 votes

2 stars: 8 votes

3 stars: 16 votes

4 stars: 46 votes

5 stars: 39 votes

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