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Learn Python Programming, 3rd edition

You're reading from   Learn Python Programming, 3rd edition An in-depth introduction to the fundamentals of Python

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Product type Paperback
Published in Oct 2021
Publisher Packt
ISBN-13 9781801815093
Length 554 pages
Edition 3rd Edition
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Authors (2):
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Heinrich Kruger Heinrich Kruger
Author Profile Icon Heinrich Kruger
Heinrich Kruger
Fabrizio Romano Fabrizio Romano
Author Profile Icon Fabrizio Romano
Fabrizio Romano
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Table of Contents (18) Chapters Close

Preface 1. A Gentle Introduction to Python 2. Built-In Data Types FREE CHAPTER 3. Conditionals and Iteration 4. Functions, the Building Blocks of Code 5. Comprehensions and Generators 6. OOP, Decorators, and Iterators 7. Exceptions and Context Managers 8. Files and Data Persistence 9. Cryptography and Tokens 10. Testing 11. Debugging and Profiling 12. GUIs and Scripting 13. Data Science in Brief 14. Introduction to API Development 15. Packaging Python Applications 16. Other Books You May Enjoy
17. Index

One final example

Before we finish off this chapter, let's go through one last example. We could write a function to generate a list of prime numbers up to a limit; we've already seen the code for this in Chapter 3, so let's make it a function and, to keep it interesting, let's optimize it a bit.

It turns out that we don't need to divide by all numbers from 2 to N-1 to decide whether a number, N, is prime. We can stop at √N (the square root of N). Moreover, we don't need to test the division for all numbers from 2 to √N, as we can just use the primes in that range. We leave it up to you to figure out why this works, if you're interested in the beauty of mathematics.

Let's see how the code changes:

# primes.py
from math import sqrt, ceil
def get_primes(n):
    """Calculate a list of primes up to n (included). """
    primelist = []
    for candidate in range(2, n + 1):
        is_prime...
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