Best Julia Courses 2021
Best Julia Books 2021
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 2021
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.
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
Visualize the data
Loops and conditional statements
Julia in constructed objects
Importing CSV data files
Connection with the database
Application of machine learning algorithms
Calling another programming language like Python
Best Julia books 2021
Think Julia: How to Think Like a Computer Scientist
Think Julia How to Think Like a Computer Scientist 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. Think Julia 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, machine learning, and the web 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.
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 software design for Julia 1.x 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
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 applications 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 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
• Understand and program basic machine learning applications.
The Julia Language Handbook
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.