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Programming with Julia

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Programming with Julia, available at $84.99, has an average rating of 4.22, with 72 lectures, 35 quizzes, based on 475 reviews, and has 4642 subscribers.

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You will learn about Learn the groundbreaking Julia language: Speed of C, ease of Python Master Julia language to be able to use it in data science, machine learning and artificial intelligence Learn the fundamental principles of programming that you can use while learning other programming languages. Program in Julia language professionally This course is ideal for individuals who are This course is for anyone who wants to learn Julia programming language. You don't need any prior programming knowledge. or If you want to learn data science, machine learning, deep learning and artificial intelligence, and search for an ideal programming language Julia is the best fit for you. It is particularly useful for This course is for anyone who wants to learn Julia programming language. You don't need any prior programming knowledge. or If you want to learn data science, machine learning, deep learning and artificial intelligence, and search for an ideal programming language Julia is the best fit for you.

Enroll now: Programming with Julia

Summary

Title: Programming with Julia

Price: $84.99

Average Rating: 4.22

Number of Lectures: 72

Number of Quizzes: 35

Number of Published Lectures: 72

Number of Published Quizzes: 35

Number of Curriculum Items: 107

Number of Published Curriculum Objects: 107

Original Price: $27.99

Quality Status: approved

Status: Live

What You Will Learn

  • Learn the groundbreaking Julia language: Speed of C, ease of Python
  • Master Julia language to be able to use it in data science, machine learning and artificial intelligence
  • Learn the fundamental principles of programming that you can use while learning other programming languages.
  • Program in Julia language professionally

Who Should Attend

  • This course is for anyone who wants to learn Julia programming language. You don't need any prior programming knowledge.
  • If you want to learn data science, machine learning, deep learning and artificial intelligence, and search for an ideal programming language Julia is the best fit for you.

Target Audiences

  • This course is for anyone who wants to learn Julia programming language. You don't need any prior programming knowledge.
  • If you want to learn data science, machine learning, deep learning and artificial intelligence, and search for an ideal programming language Julia is the best fit for you.

Do you want to learn data science, machine learning, deep learning, and AI but you are not sure about the programming language to learn?

Or you may be using Python and R, but you are tired of their low speed.

Julia is a modern programming language developed for data science, machine learning and AI. It is a dynamically typed language which is easy to learn and use and has the speed of C.

This is the first of a series of courses I plan to teach data science, machine learning and deep learning using Julia. Other courses, “Data Science with Julia”, “Machine Learning with Julia” and “Deep Learning with Julia” will follow. In this course, you will learn programming in Julia proficiently. In the upcoming courses you will learn both machine learning and deep learning algorithms and how to build those algorithms from scratch using Julia.

Besides being ideal for data science and machine learning, Julia is also ideal for production environments. Being one of the most modern languages, Julia can be used to build entire applications and microservices.

Julia combines best features of dynamic languages like Python and R and low-level languages like C, C# and Java. You can develop a machine learning model or an algorithm in Julia and use that code in a production environment. You don’t have to use different languages for development and production.

Course Curriculum

Chapter 1: Introduction

Lecture 1: Why Julia?

Lecture 2: History of Julia

Lecture 3: Codes and resources

Chapter 2: Starting with Julia

Lecture 1: Installing Julia

Lecture 2: Installing Julia in Windows (Optional)

Lecture 3: Installing Julia in Linux (Optional)

Lecture 4: Julia REPL

Lecture 5: Julia Editor and IDEs

Chapter 3: Variables, Data Types and Operations

Lecture 1: Introduction

Lecture 2: Variables

Lecture 3: Type Hierarchy in Julia

Lecture 4: Numerical Data Types: Integers and Floating-Point Numbers

Lecture 5: Numerical Data Types: Complex and Rational Numbers

Lecture 6: Character and String Types

Lecture 7: Primitive and Composite Types

Lecture 8: Parametric Types

Lecture 9: Basic Operations

Lecture 10: Exercises: Variables, Data Types & Operations

Lecture 11: Solutions to Exercises: Variables, Data Types & Operations

Chapter 4: Data Structures

Lecture 1: Introduction

Lecture 2: Tuples

Lecture 3: Dictionaries

Lecture 4: Ranges

Lecture 5: Arrays

Lecture 6: Vectors and Matrices

Lecture 7: Multidimensional Arrays

Lecture 8: Broadcasting and Dot Syntax

Lecture 9: Sets

Lecture 10: Basic Linear Algebra

Lecture 11: Exercises: Data Structures

Lecture 12: Solutions to Exercises: Data Structures

Chapter 5: Conditionals and Loops

Lecture 1: Introduction

Lecture 2: Compound Expressions

Lecture 3: Conditional Evaluation

Lecture 4: Short Circuit Evaluation

Lecture 5: For Loops

Lecture 6: While Loops

Lecture 7: Continue and Break

Lecture 8: Comprehensions

Lecture 9: Exercises

Lecture 10: Solutions

Chapter 6: Functions

Lecture 1: Introduction

Lecture 2: Defining Functions

Lecture 3: Map, Reduce, Filter

Lecture 4: Variable Number of Arguments

Lecture 5: Optional Arguments

Lecture 6: Keyword Arguments

Lecture 7: Composite Functions

Lecture 8: Mutating Functions

Lecture 9: Exercises

Lecture 10: Solutions

Chapter 7: Methods

Lecture 1: Introduction

Lecture 2: Multiple Dispatch

Lecture 3: Parametric Methods

Lecture 4: Function Like Objects

Lecture 5: Constructors

Lecture 6: Neural Networks Demo

Chapter 8: Modules and Packages

Instructors

Rating Distribution

  • 1 stars: 0 votes
  • 2 stars: 6 votes
  • 3 stars: 33 votes
  • 4 stars: 149 votes
  • 5 stars: 287 votes

Frequently Asked Questions


How long do I have access to the course materials?


You can view and review the lecture materials indefinitely, like an on-demand channel.


Can I take my courses with me wherever I go?


Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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