#### 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.
Learning Jupyter
Credits
www.PacktPub.com
Preface
Free Chapter
Introduction to Jupyter
Jupyter Python Scripting
Jupyter R Scripting
Jupyter Julia Scripting
Jupyter JavaScript Coding
Interactive Widgets
Sharing and Converting Jupyter Notebooks
Multiuser Jupyter Notebooks
Jupyter Scala
Jupyter and Big Data

## Spark primes

We can run a series of numbers through a filter to determine whether each number is prime or not. We can use this script:

import pyspark
if not 'sc' in globals():
sc = pyspark.SparkContext()
def is_it_prime(number):
# make sure n is a positive integer
number = abs(int(number))
# simple tests
if number < 2:
return False
# 2 is prime
if number == 2:
return True
# other even numbers aren't
if not number & 1:
return False
# check whether number is divisible into it's square root
for x in range(3, int(number**0.5)+1, 2):
if number % x == 0:
return False
#if we get this far we are good
return True
# create a set of numbers to 100,000
numbers = sc.parallelize(xrange(100000))
# count out the number of primes we found
print numbers.filter(is_it_prime).count()

The script generates numbers up to 100,000.

We then loop over each of the numbers and pass it to our filter. If the filter returns...