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Hello Julia: Learn the New Julia Programming Language


Learn Julia from scratch!

The most popular Julia tutorialYou will  and go from beginner to intermediate quickly. 

Coding for non-programmers in Julia


Learn Julia programming fast.

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 courses 2020

Learn and Master Julia Programing Language

by Kishore Sethumadhavan is aimed at new developers. You will start with installing Julia. Then you will move onto fundamental topics. This Julia training follows a comprehensive approach to learning Julia programming, and includes Julia examples. You will write intermediate level Julia using REPL. This Julia online tutorials will teach you how to perform advanced Julia features like file IO operations, Julia error handling and Julia plotting. This is one of the best Julia tutorial for beginners in 2020.

Hello Julia: Learn the New Julia Programming Language

by Stone River eLearning take you from complete beginner to intermediate. This Julia video tutorials will teach you to write intermediate Julia code and applications. You will start at the very beginning and find yourself guided through the installation process. Then, the basic functions and many features, syntax and documentation will be presented to you. Julia topics such as writing variables, strings, logical operators, arrays, types, dictionaries, loops, list comprehensions, scope and modules are all covered. This complete Julia video course will then explore more advanced Julia features like file IO reading, meta programming, error handling, types, functions, etc. This is the best Julia course for beginners in 2020.

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)
  • 298 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, machine learning, and the web
  • 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.

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, 2nd Edition
  • Balbaert, Ivo (Author)
  • English (Publication Language)
  • 196 Pages - 09/24/2018 (Publication Date) - Packt Publishing (Publisher)

by Ivo Balbaert will get started you a head start to tackle your numerical and data problems. Data scientists will learn to work with Julia in a multi-core, distributed, and networked environment. This Julia book will help you learn the techniques to create blazingly fast programs with Julia. The book walks you through various practical examples to get to grips with Julia. The release of Julia 0.0 is now ready to make a difference in the technological world by combining Python and R with ease of use with high productivity and the very fast speed of C ++. It gives you an idea of ​​how to solve your digital and data problems. You will begin to learn how to configure it before exploring the various built-in types of running Julia platforms. Using practical examples, this book introduces you to two important types of collections: tables and matrices. On top of that, you’ll find out how to type conversions and promotions.

During the book, you will be introduced to the concepts of homo-iconic and metaphorical in Julia. You will understand how Julia offers different ways to interact with an operating system, as well as other languages, then you will discover what a macros is. Once you understand the basics you will study what makes Julia suitable for digital and scientific computing and discover the features Julia provides. At the end of this book, you will learn to manage external programs. This book contains all you need to know about Julia to take advantage of the high speed and efficiency of your applications. You will:

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

If you are a statistician or data scientist who wants an intensive course in creating big data applications, you want this book to understand the different methods used or created in the book to harness the ideas that were conceived. For a basic knowledge of mathematics is necessary.This is one of the best Julia book for beginners in 2020.

Mastering Julia – Tackle the Contemporary Challenges of Programming and Data Science with Julia

Mastering Julia
  • English (Publication Language)
  • Packt Publishing (Publisher)

by Malcolm Sherrington will help you develop and enhance your programming skills to solve real-world automation challenges. You will learn the different ways of working and explore key features in-depth. This Julia book will show you how data works using simple statistics and analytics. You will learn about speed, which makes it useful in highly intensive computing tasks. This is among the best Julia books in 2020.

Julia High performance

Julia High Performance
  • English (Publication Language)
  • Packt Publishing (Publisher)

Julia High performance Paperback by Avik Sengupta will help you learn to code high reliability and high-performance computing coding. You will want to learn to analyze and measure the performance of Julia code. This Julia book will help you understand how to avoid bottlenecks and design your program for the highest possible performance. You will create fast machine code using Julia’s type information. This Julia book will give you an overview of Julia’s distributed computing capabilities.

 

Julia for Data Science

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Julia for Data Science
  • Voulgaris PhD, Zacharias (Author)
  • English (Publication Language)
  • 366 Pages - 07/30/2016 (Publication Date) - Technics Publications, LLC (Publisher)

Julia for Data Science by Zacharias Voulgaris will help you learn how to master the Julia language to solve business-critical data science challenges. This book covers the importance to the data science analysis community. You will start with the basics of Julia way, including how to install Julia and its powerful libraries. This Julia book is packed with examples to illustrate how to use each Julia command, dataset, and function. This is one of the best Julia programming language books for Data Science in 2020.