Best Julia courses & Best Julia books 2022

Best Julia Courses 2022


Best Julia Books 2022

Julia is a high-level dynamic programming language designed for use in high-performance numerical analysis. Julia was first released in 2012 by Jeff Bezanson, Alan Edelman, Stefan Karpinski and Viral B. Shah. Some distinctive features include a sophisticated compiler, distributed parallel execution, numerical accuracy, extensive mathematical function library, etc. 

Best Julia tutorials 2022

Hello Julia: Learn the New Julia Programming Language

The secret to making big bucks and landing that dream programming job is pretty straightforward. Pick a few key languages ​​and get really good at them. It is also a good idea to choose languages ​​that have a solid foundation and a bright future; and Julia fits that perfectly. This relatively new kid on the block (his first version was in 2012) is about to get huge, and this online course will help you stay ahead of everyone else by learning it quickly and making it happen.

This Julia online course will take you from beginner to intermediate level. From the start you will be guided through the installation process and you will be introduced to the basic functions and features of Julia. Variables, Strings, Logical Operators, Arrays, Types, Dictionaries, Loops, List Understands, Scope, and Modules are all covered to give you a deep foundation in Julia’s world.

The second half of the course moves on to more advanced features. You’ll dive into reading I / O files, directories, and learning how to write to files before moving on to metaprogramming, error handling, and various other more complex features of Julia. Each lesson provides a downloadable code so you don’t miss out on a tip and can revisit the content at your leisure.

Anyone who has mastered the basic concepts of programming will take this course with flying colors, as will those who are completely new to Julia and programming in general. You don’t need previous credentials to get started … in fact, all you need is a computer with an Internet connection to be on your way to a sparkling programming career. This is the best Julia course in 2022.

You will learn

Write intermediate level Julia code
Have an understanding of the Julia language
Know all the fundamental principles of the Julia language
Perform file I / O operations in Julia

(NEW) Coding for non-programmers in Julia

This Julia Beginner Programming Course is specially designed for programming beginners. In this course, you will not only learn a powerful programming language taught at MIT and Stanford, but also integrate hands-on programming techniques and habits. It will help you become a good programmer and solve problems, helping you learn other languages. By the end of this course you will have the basics of Julia and will be able and confident to continue learning programming on your own.

We will use the Julia programming language to achieve our goal. Julia 1.0 is a new language developed at MIT and taught at top universities such as Stanford, Cornell University, Purdue University, etc. It brings together the best practices of interpreted languages ​​like Python, Ruby, Javascript and the best of compiled languages ​​like C / C ++ and FORTRAN. It is easy to learn, but very practical to do real development work. Examples of what I did on Julia included processing data, quickly scripting repetitive office tasks like direct mail, building critical high performance dynamic programming language components like financial and crypto algorithms, writing interactive web applications, and the list goes on.

Everything in this course, from the way we present concepts in lectures to make them easy to assimilate; and tricky questions in quizzes that reveal your weakness in content so we can work more on it; to the intellectual exchange that we promote in conference discussions; everything is carefully designed to maximize your learning potential with us. You don’t have to take my word for it. There is a 30 day money back guarantee! Let the content speak for us.

You will learn

You can now code, for real.
You can write programs that seem interesting to your friends. Street credits!
Have you learned web design or mobile app development but still feel like you are missing “something”? Here you will learn that “something” and now you can combine these skills to create the basic service, and

Machine Learning with Julia Programming for Everyone

Julia is a higher level programming language, faster than Python when processing huge amounts of data. Slowly it is gaining momentum and many experts are moving from Python to Julia.I’ve designed this course in a very simplistic way so that anyone who has been exposed to python or not, etc. can do this easily.Also, if you are familiar with python, you have an added advantage where you will find many python-like topics. The course starts with the basics, then covers various fundamental and intermediate level topics for data processing and finally we will do a machine learning project with Julia.

You will learn

Start writing code in Julia
Manipulate data
Visualize the data
Loops and conditional statements
Julia in constructed objects
Chain processing
Importing CSV data files
Connection with the database
Application of machine learning algorithms
Calling another programming language like Python

Best Julia books 2022

Think Julia: How to Think Like a Computer Scientist

Think Julia: How to Think Like a Computer Scientist
  • Lauwens, Ben (Author)
  • English (Publication Language)
  • 295 Pages - 05/28/2019 (Publication Date) - O'Reilly Media (Publisher)

by Ben Lauwens and Allen B. Downey uses Julia 1.0 to guide you through programming step by step, starting with programming basics before moving on to more advanced features like creating new types and sending multiples.

Designed from the ground up for high performance, Julia is a versatile language ideal not only for numerical analysis and computer science, but also for web programming and scripting. Through the exercises in each chapter, you will test programming concepts as you learn them. This is one of the best books to learn is perfect for high school or college students, as well as self-taught and professionals who need to learn the basics of programming.

Start with the basics, including the syntax and semantics of the language.
Get a clear definition of each programming concept
Discover values, variables, declarations, functions, and data structures in a logical progression
Find out how to work with files and databases
Understand types, methods, and multiple shipments
Use debugging techniques to correct syntax, runtime, and semantic errors
Explore interface design and data structures through case studies

Julia Programming Projects: Learn Julia 1.x by building apps for data analysis, visualization, machine learning, and the web

Julia Programming Projects: Learn Julia 1.x by building apps for data analysis, visualization,...
  • Salceanu, Adrian (Author)
  • English (Publication Language)
  • 500 Pages - 12/26/2018 (Publication Date) - Packt Publishing (Publisher)

by Adrian Salceanu illustrates how to analyze the Iris dataset using DataFrames. You will explore the functions and type system, methods, and multiple shipping while building a web scraper and web application. Next, you will dive into machine learning, where you will create a book recommendation system. You will also see how to apply unsupervised machine learning to perform clustering on the San Francisco enterprise database. After meta-programming, the final chapters will cover dates and times, time series analysis, visualization, and forecasting. You will:

Leverage Julia’s strengths, best packages, and best IDE options
Analyze and manipulate data sets with Julia and DataFrames
Write complex code while creating real Julia applications
Develop and run a web application using Julia and the HTTP package
Build a recommendation system using supervised machine learning
Perform exploratory data analysis
Apply unsupervised machine learning algorithms
Perform analysis, visualization and forecasting of time series data.

Julia High Performance: Optimizations, distributed computing, multithreading, and GPU programming with Julia 1.0 and beyond, 2nd Edition

Julia High Performance: Optimizations, distributed computing, multithreading, and GPU programming...
  • Sengupta, Avik (Author)
  • English (Publication Language)
  • 218 Pages - 06/10/2019 (Publication Date) - Packt Publishing (Publisher)

by Avik Sengupta begins with an explanation of how Julia uses type information to achieve its performance goals, as well as how to leverage multiple dispatches to assist the compiler in producing high-performance machine code. Following that, you’ll learn how to analyze Julia programs and spot problems with time and memory usage. We show you how to accurately use Julia’s typing features to develop high-performance code, as well as how the Julia compiler leverages type information to generate fast machine code.

Moving on, you’ll master design constraints and discover how to exploit the GPU’s power in Julia code, as well as compile Julia code to the GPU directly. Then you’ll learn how to leverage Julia’s shared memory multithreading and how to employ tasks and asynchronous IO to develop responsive programs. You’ll get a taste of Julia’s distributed computing capabilities at the conclusion, as well as how to run Julia programs on a big distributed cluster.

Hands-On Design Patterns and Best Practices with Julia: Proven solutions to common problems in software design for Julia 1.x

Hands-On Design Patterns and Best Practices with Julia: Proven solutions to common problems in...
  • Kwong, Tom (Author)
  • English (Publication Language)
  • 532 Pages - 01/17/2020 (Publication Date) - Packt Publishing (Publisher)

by Tom Kwong will demonstrate how to take advantage of design patterns with real-world applications. Starting with an overview of design patterns and application design best practices, you will learn about some of Julia’s more fundamental features, such as modules, data types, functions / interfaces, and meta-programming. You will then become familiar with modern Julia design patterns to create large-scale applications with an emphasis on performance, reusability, robustness, and maintainability. The book also covers anti-patterns and how to avoid common errors and pitfalls in development. You will see how traditional object-oriented models can be implemented differently and more efficiently in Julia. Finally, you will explore various use cases and examples, such as how expert Julia developers use modern Julia design patterns in their open source Julia programs. You will:

Master the Julia language features that are essential for large-scale software application development.
Discover design patterns to improve the overall architecture and design of your application
Develop reusable programs that are modular, scalable, efficient, and easy to maintain.
Weighing the pros and cons of using different design patterns for use cases
Explore methods for moving from object-oriented programming to using equivalent or more advanced Julia techniques

The Little Book of Julia Algorithms: A workbook to develop fluency in Julia programming

The Little Book of Julia Algorithms: A workbook to develop fluency in Julia programming
  • Sengupta, Ahan (Author)
  • English (Publication Language)
  • 120 Pages - 09/13/2020 (Publication Date) - SAV Publishing (Publisher)

by Ahan Sengupta, William Lau attempts to teach the Julia programming language while explaining essential computer science topics. Julia is a good high-level language for beginners because it is quick and productive. Programming has a high learning curve, and this book seeks to make it easier by encouraging practice and progressively introducing more complicated topics. The book includes 50 programming tasks to inspire readers to create their own programs. All of the obstacles have solutions at the end of the book. This book will prepare readers for more advanced programming in college math, science, or computer science classes by making them comfortable with utilizing computers to solve any problem. The reader should be more comfortable with: •Loops and conditionals after completing the tasks in this book. •Simple Statistics and Plotting •Structuring code using functions •Reading and writing files •Installing and using packages •Sorting and searching

Julia 1.0 Programming: Dynamic and high-performance programming to build fast scientific applications, 2nd Edition

Julia 1.0 Programming: Dynamic and high-performance programming to build fast scientific...
  • Balbaert, Ivo (Author)
  • English (Publication Language)
  • 196 Pages - 09/24/2018 (Publication Date) - Packt Publishing (Publisher)

by Ivo Balbaert starts by learning how to set up a running Julia platform, before exploring its different built-in types. With practical examples, this book guides you through two important types of collections: tables and matrices. In addition, you will learn how type conversions and promotions work.

During the course of the book, you will be introduced to the concepts of homo-iconicity and metaprogramming in Julia. You will understand how Julia offers different ways of interacting with an operating system, as well as other languages, and then you will discover what macros are. Once you understand the basics, you will study what makes Julia suitable for numerical computing, technical computing, distributed computing and scientific computing, and learn about the features that Julia offers. By the end of this book, you will also have learned how to run external programs. You will learn:

Configure your Julia environment for high productivity
Create your own types to extend the built-in type system
Visualize your data in Julia with tracking packages
Explore the use of built-in macros for testing and debugging, among other uses
Apply Julia to solve problems simultaneously
Integrate Julia with other languages ​​like C, Python, and MATLAB

Tanmay Teaches Julia for Beginners: A Springboard to Machine Learning for All Ages

Tanmay Teaches Julia for Beginners: A Springboard to Machine Learning for All Ages
  • Bakshi, Tanmay (Author)
  • English (Publication Language)
  • 192 Pages - 11/29/2019 (Publication Date) - McGraw Hill TAB (Publisher)

by Tanmay Bakshi shows step-by-step how to create custom programs using Julia, the intuitive open source programming language. Written by 15-year-old tech phenom Tanmay Bakshi, the book is presented in an accessible style that makes learning easy and enjoyable. The great book clearly explains Julia’s programming basics and reviews cutting edge machine learning apps. You will learn how to interface his Julia applications with code written in Python.

You will learn to:

• Install and configure your Julia environment
• Get started writing your own Julia applications
• Define variables and use them in your programs
• Use conditions, iterations, for loops, and while loops
• Create, browse, and modify tables
• Create an application to manage the things you lend and charge to your friends
• Create and use dictionaries
• Simplify the maintenance of your code thanks to the functions
• Apply functions in arrays and use functions recursively and generically

The Julia Language Handbook

The Julia Language Handbook
  • Root, George (Author)
  • English (Publication Language)
  • 199 Pages - 02/02/2019 (Publication Date) - Independently published (Publisher)

The Julia Language Handbook by George Root is updated from Julia v1.02 and all the examples, of which there are dozens, have been tested and all work. You will learn how to install and use the Julia REPL mode and the Jupyter Notebook mode to create and test your code. Other topics include: Data types Functions and packages Tuples Data matrices Data frames Data structures Flow control Loops and iteration Input / Output: formatted printing: writing and reading data files Line and scatter graphs Other types of graphs Random Numbers Optimizing with Optim and JuMP. This is one of the best julia programming books.


Bestseller No. 1
The Little Book of Julia Algorithms: A workbook to develop fluency in Julia programming
  • Sengupta, Ahan (Author)
  • English (Publication Language)
  • 120 Pages - 09/13/2020 (Publication Date) - SAV Publishing (Publisher)
Bestseller No. 2
The Julia Language Handbook
  • Amazon Kindle Edition
  • Root, George (Author)
  • English (Publication Language)
Bestseller No. 3
Julia Programming for Operations Research
  • Kwon, Changhyun (Author)
  • English (Publication Language)
  • 262 Pages - 03/03/2019 (Publication Date) - Independently published (Publisher)
Bestseller No. 4
Tanmay Teaches Julia for Beginners: A Springboard to Machine Learning for All Ages
  • Bakshi, Tanmay (Author)
  • English (Publication Language)
  • 192 Pages - 11/29/2019 (Publication Date) - McGraw Hill TAB (Publisher)
Bestseller No. 5
Julia High Performance: Optimizations, distributed computing, multithreading, and GPU programming...
  • Sengupta, Avik (Author)
  • English (Publication Language)
  • 218 Pages - 06/10/2019 (Publication Date) - Packt Publishing (Publisher)
SaleBestseller No. 6
Beginning Julia Programming: For Engineers and Scientists
  • Nagar, Sandeep (Author)
  • English (Publication Language)
  • 372 Pages - 11/27/2017 (Publication Date) - Apress (Publisher)
Bestseller No. 7
Julia 1.0 Programming Cookbook: Over 100 numerical and distributed computing recipes for your daily...
  • Kaminski, Bogumil (Author)
  • English (Publication Language)
  • 460 Pages - 11/29/2018 (Publication Date) - Packt Publishing (Publisher)
SaleBestseller No. 8
Programming Entity Framework: Code First: Creating and Configuring Data Models from Your Classes
  • O Reilly Media
  • Lerman, Julia (Author)
  • English (Publication Language)
Bestseller No. 9
Hands-On Julia Programming: An Authoritative Guide to the Production-Ready Systems in Julia (English...
  • Amazon Kindle Edition
  • Dash, Sambit Kumar (Author)
  • English (Publication Language)
SaleBestseller No. 10
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Frequently Asked Questions

What is Julia programming language?

Julia is a high-performance dynamic programming language that is open source. It’s a general-purpose programming language that may be used to create any type of application. Many of its qualities, on the other hand, are useful for numerical analysis and computational research.