Learn Julia 2020 – Best Julia courses & Best Julia tutorials & Best Julia books

Best Julia Courses 2020

 

Best Julia Books 2020

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 2020

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 ​​which 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. learning now.

Get ahead of the coding curve

Write Julia Code at Intermediate Level
Perform file I / O operations in Julia
Understand Julia’s fundamentals with real world examples
Learn one of the most popular new programming languages

Learn the basics of Julia

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.

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 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 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 2020

Think Julia: How to Think Like a Computer Scientist

Think Julia: How to Think Like a Computer Scientist
  • Amazon Kindle Edition
  • Lauwens, Ben (Author)
  • English (Publication Language)
  • 471 Pages - 04/05/2019 (Publication Date) - O'Reilly Media (Publisher)
Think Julia: How to Think Like a Computer Scientist by Ben Lauwens and Allen B. Downey will help you get started with programming. No formal prior knowledge is required. New concepts are introduced gradually and more advanced topics are described in later chapters. This book can be used for college or high school, as a one semester course.

If you just learned the program, Julia is a great language dynamically compiled JIT with its own syntax. This way Julia 0.0 uses how to guide you through one step programming at a time, starting with basic programming concepts before moving on to more advanced features like creating new types of features and multiple transmissions.

Built from the ground up for high performance, Julia is a versatile language ideal not only for number analysis and computer science, but also for web programming and scripting. Through the practice of each chapter you will try to learn programming concepts as well as try Julia High School or college students as well as self-students and professionals who need to learn the basics of programming Think

Start with the basics, including language syntax and semantics Get a clear definition of each programming concept Learn about values, variables, statements, functions and data structures in logical progress Find out how to work with files and databases Understands types, methods and multiple distributions Use debugging techniques to correct syntax, runtime, and cinematic 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 is a step-by-step guide that shows you how to build simple-to-advanced applications through examples in this new programming language that provides a unique combination of performance and productivity. Its powerful features, user-friendly syntax and speed Python, attracting a growing number of R&D recipients, have raised the bar for general science and modern computing. This is a great time to learn because of the widespread adoption in a wide range of fields including fintech, biotechnology, education and AI. Starting with the introduction of language, Julia continues to illustrate how programming projects will analyze iris datasets using dataframes. You can search for type functions and systems, methods, and multiple distributions when creating web scrapers and web applications. You will then dive into machine learning, where you will create a book recommendation system. You will also find how to apply Unservished Machine Learning to clusters in the San Francisco Corporate Database.

We will finish with package development, documentation, testing and benchmarking and at the end of the book you will gain practical knowledge to create real world applications. You will:

Take advantage of Julia’s strengths, her best packages and major IDE options Analyze and manipulate datasets using Julia and dataframes Write complex code when creating real Julia applications Develop and manage a web application using the Julia and HTTP packages Create a recommendation system using supervised machine learning Perform search data analysis Apply unsurveyed machine learning algorithm Perform time series data analysis, visualization and forecasting

Data scientists, statisticians, business analysts and developers who want to teach Julia how to count numbers, analyze data and build applications will find this book useful. Basic knowledge of programming is assumed.

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