Book Image

Learning Jupyter

By : Dan Toomey
Book Image

Learning Jupyter

By: Dan Toomey

Overview of this book

Jupyter Notebook is a web-based environment that enables interactive computing in notebook documents. It allows you to create and share documents that contain live code, equations, visualizations, and explanatory text. The Jupyter Notebook system is extensively used in domains such as data cleaning and transformation, numerical simulation, statistical modeling, machine learning, and much more. This book starts with a detailed overview of the Jupyter Notebook system and its installation in different environments. Next we’ll help you will learn to integrate Jupyter system with different programming languages such as R, Python, JavaScript, and Julia and explore the various versions and packages that are compatible with the Notebook system. Moving ahead, you master interactive widgets, namespaces, and working with Jupyter in a multiuser mode. Towards the end, you will use Jupyter with a big data set and will apply all the functionalities learned throughout the book.
Table of Contents (16 chapters)
Learning Jupyter
Credits
About the Author
About the Reviewer
www.PacktPub.com
Preface

Julia control flow


Julia has a complete set of control flows. As an example, we could have a small function that determines the larger of two numbers:

function larger(x, y) 
    if (x>y) 
        return x
    end
    return y
end
println(larger(7,8))

There are several features that you must note:

  • The end statement for the if statement

  • end the closing of the function

  • Indentation of the statements within the function

  • Indentation of the handling of a true condition within an if statement

If we run this in Jupyter, we see the output shown in the following screenshot: