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Learning Python

You're reading from  Learning Python

Product type Book
Published in Dec 2015
Publisher Packt
ISBN-13 9781783551712
Pages 442 pages
Edition 1st Edition
Languages
Author (1):
Fabrizio Romano Fabrizio Romano
Profile icon Fabrizio Romano
Toc

Table of Contents (20) Chapters close

Learning Python
Credits
About the Author
Acknowledgements
About the Reviewers
www.PacktPub.com
Preface
1. Introduction and First Steps – Take a Deep Breath 2. Built-in Data Types 3. Iterating and Making Decisions 4. Functions, the Building Blocks of Code 5. Saving Time and Memory 6. Advanced Concepts – OOP, Decorators, and Iterators 7. Testing, Profiling, and Dealing with Exceptions 8. The Edges – GUIs and Scripts 9. Data Science 10. Web Development Done Right 11. Debugging and Troubleshooting 12. Summing Up – A Complete Example Index

One last example


Before we part from this chapter, I'll show you a simple problem that I submitted to candidates for a Python developer role in a company I used to work for.

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

If you haven't 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 to test 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 (and too many so called Python coders didn't, when I was interviewing them).

Let's start from a rudimentary version of a function, 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...
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