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Learning Jupyter

You're reading from   Learning Jupyter Select, Share, Interact and Integrate with Jupyter Notebook

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Product type Paperback
Published in Nov 2016
Publisher Packt
ISBN-13 9781785884870
Length 238 pages
Edition 1st Edition
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Author (1):
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Dan Toomey Dan Toomey
Author Profile Icon Dan Toomey
Dan Toomey
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Table of Contents (11) Chapters Close

Preface 1. Introduction to Jupyter FREE CHAPTER 2. Jupyter Python Scripting 3. Jupyter R Scripting 4. Jupyter Julia Scripting 5. Jupyter JavaScript Coding 6. Interactive Widgets 7. Sharing and Converting Jupyter Notebooks 8. Multiuser Jupyter Notebooks 9. Jupyter Scala 10. 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...

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