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  • Book Overview & Buying Mastering Julia
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Mastering Julia

Mastering Julia

By : Malcolm Sherrington
4.4 (7)
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Mastering Julia

Mastering Julia

4.4 (7)
By: Malcolm Sherrington

Overview of this book

Julia is a well-constructed programming language with fast execution speed, eliminating the classic problem of performing analysis in one language and translating it for performance into a second. This book will help you develop and enhance your programming skills in Julia to solve real-world automation challenges. This book starts off with a refresher on installing and running Julia on different platforms. Next, you will compare the different ways of working with Julia and explore Julia's key features in-depth by looking at design and build. You will see how data works using simple statistics and analytics, and discover Julia's speed, its real strength, which makes it particularly useful in highly intensive computing tasks and observe how Julia can cooperate with external processes in order to enhance graphics and data visualization. Finally, you will look into meta-programming and learn how it adds great power to the language and establish networking and distributed computing with Julia.
Table of Contents (12 chapters)
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11
Index

Interfacing with other programming environments


Julia has a rich and varied syntax, but it was always known that a vast wealth of code existed in object libraries covering a wide range of specialities. So, a simple mechanism to call functions from these libraries would prove to be useful, and a one-line native instruction call ccall() was added.

This has led to the development of packages that effectively wrap code around the existing application programming interfaces (APIs). An example would be to access a database that exposes an API to perform functions such as those to establish a database connection, to create and update records, and to execute queries.

Another major area of interoperability has been between Julia and Python, and we have already shown some evidence of that in using Python for displaying graphs and using the IPython system as a proxy IDE.

There is also some further work on interfacing with R, Java, and MATLAB, and I'll present a brief overview of this too later.

Calling...

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Mastering Julia
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