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Learn Python Programming

You're reading from   Learn Python Programming A comprehensive, up-to-date, and definitive guide to learning Python

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Product type Paperback
Published in Nov 2024
Publisher Packt
ISBN-13 9781835882948
Length 616 pages
Edition 4th Edition
Languages
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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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Toc

Table of Contents (20) Chapters Close

Preface A Gentle Introduction to Python FREE CHAPTER Built-In Data Types Conditionals and Iteration Functions, the Building Blocks of Code Comprehensions and Generators OOP, Decorators, and Iterators Exceptions and Context Managers Files and Data Persistence Cryptography and Tokens Testing Debugging and Profiling Introduction to Type Hinting Data Science in Brief Introduction to API Development CLI Applications Packaging Python Applications Programming Challenges Other Books You May Enjoy
Index

One last example

Before we finish this chapter, we will show you a simple problem that Fabrizio used to give to candidates for a Python developer role in a company he used to work for.

The problem is the following: write a function that returns the terms of the sequence 0 1 1 2 3 5 8 13 21 ..., up to some limit, N.

If you have not recognized it, that is the Fibonacci sequence, which is defined as F(0) = 0, F(1) = 1 and, for any n > 1, F(n) = F(n-1) + F(n-2). This sequence is excellent for testing knowledge about recursion, memoization techniques, and other technical details, but in this case, it was a good opportunity to check whether the candidate knew about generators.

Let us start with a rudimentary version, and then improve on it:

# fibonacci.first.py
def fibonacci(N):
    """Return all fibonacci numbers up to N."""
    result = [0]
    next_n = 1
    while next_n <= N:
        result.append(next_n)
        next_n = sum(result...
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