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What you will learn

Set up your Julia environment to achieve the highest productivity

Solve your tasks in a highlevel dynamic language and use types for your data only when needed

Create your own types to extend the builtin type system

Visualize your data in IJulia with plotting packages

Explore the use of builtin macros for testing, debugging, benchmarking, and more

Apply Julia to tackle problems concurrently and in a distributed environment

Integrate with other languages such as C, Python, and MATLAB

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Getting started with Julia Programming Language

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Amazon verified reviews

adnan baloch Mar 26, 2015

Scientists and students dealing with technical computing problems have a real conundrum at their hands when it comes to solving their problems using programming. If they use a specialized language, they have to give up speed. If they turn to C or C++ for their programming needs, they have to look at a significant time investment most of which might be spent not solving their problem but wrestling with the quirky language design decisions of C/C++. The best of both these worlds was conceived at MIT in the form of the Julia programming language. Striving to keep the performance at most twice as slow as C/C++, the author shows how easy it is to use Julia as a one-stop solution for all our technical computing needs. Installation, Julia shell, Julia studio and Ijulia are introduced in the first chapter thus making the readers confident that they can get to work as soon as possible no matter their preference of development environment. The next chapter introduces the variables and types in Julia. The author dedicates an entire chapter to functions in Julia and shows why Julia deserves to be called a functional language. Control flow, exception handling and tasks (coroutines) form the subject of the next chapter. The author moves onto complex types consisting of many elements which are dubbed collection types in Julia. The author uses the example of a word frequency program in just a little over a dozen lines of code to demonstrate the power of Julia. Multiple dispatch and metaprogramming are strengths that set Julia apart and the author makes sure that the readers understand them thoroughly. Working with CSV files and the concept of dataframes is explained clearly. The fact that a dataframe is kind of an array with different types in its columns provides the user a lot of versatility in attacking common data problems. Connecting with databases, networking and parallel computation using Julia are also given ample explanation for the benefit of the readers. Interfacing with the command line, C, Fortran and Python are touched upon in a chapter that ends with valuable performance tips to get the most out of Julia. The final chapter leaves the readers with the opportunity to explore Julia's rich standard library and shows a plotting example using Gadfly. Julia's excellent package manager and almost 400 packages mean that the readers will find themselves busy with Julia long after they have finished this comprehensive introduction to one of the rising stars of the technical computing scene.

Amazon Verified review

Dirk Harms-Merbtiz Nov 25, 2016

Quick read and to the point. Took a couple hours to go through. Amazon, don't require so many words in reviews.

Jordi C May 10, 2015

Great introduction to Julia. In the past I tried to learn Julia several times, using online documentation and tutorials, but I never found the right help that caught my attention, so I never learnt. On the other hand, this book guided me smoothly and easily through the Julia language, so I really recommend it.The book is well structured, from the syntax basics to useful features as error handling, tasks, running shell commands and python libraries, parallel computing and metaprogramming, features that also seem easy to use with Julia.I found the level of the book adequate to start with the language (I am already fluent in Python and Fortran, which I use for scientific computing).

ruben Apr 11, 2015

I would like to thank the author because I have seen this book as a great opportunity area where we have to work.I want to say that I am teacher in engineering like mechatronics, electromechanic, industrial and we have been working with this new technologies to solve practical problems in the industry I could say that the problems that we have to teach we apply the content of the book to solve themThanks.

Oleg Okun Apr 19, 2015

What is Julia? Julia is a fairly new programming language (borne in 2012) that aims at reaching two objectives: 1) quick solution prototyping like in MATLAB, R or Python and 2) fast computational time and efficient memory management like in FORTRAN, C or C++. Thus, one could say that Julia tries to bridge the gap between programming languages of two types - high-level but slow and fast but low-level.As such, Julia is a primal competitor to MATLAB, R, and Python. However, competition does not completely exclude collaboration; this is the case for Julia that has packages for calling code written in these and some other languages like Java. Needless to say, Julia is open source and free with a liberal MIT license, which is important for wide adoption. To date, there are 549 external packages that can be found at http://pkg.julialang.org/ .Chapter 1 explains how to install Julia for Windows, Ubuntu and OS X, shows example of work in Julia shell, and lists IDEs like Juno that can be used. Chapter 2 describes Julia's types of variables (numbers, characters, strings, ranges, arrays) that are the key for its performance, while Chapter 3 discusses functions (their definition and types). Control flow operators (if, for, while, break, continue) and exception handling are introduced in Chapter 3. As the extensions of Chapter 2, Chapter 5 talks about matrices (multidimensional arrays), tuples, sets and dictionaries, while Chapter 6 goes into detail of type annotation and conversion, type hierarchy, abstract, parametric, and user-defined types. The concept of metaprogramming (which can even generate code) is explained in Chapter 7. Chapter 8 explores I/O (file reading from and writing to several formats such as CSV, JSON, XML, HDF5, DataFrames for tabular data representation), networking, interacting with databases, and parallel computing. How to call from within Julia the code written in another programming language like C, FORTRAN and Python as well as performance recommendations are explained in Chapter 9. Chapter 10 looks at the standard library of functions and packages and provides guidelines how to use a package manager and visualize data.One may say that everything abovementioned can be found in Julia's documentation, but to have these topics in one place such as this book is certainly a must for new converts and seasonable experts alike.

Getting started with Julia Programming Language: Enter the exciting world of Julia, a high-performance language for technical computing

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