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Bioinformatics with Python Cookbook

You're reading from   Bioinformatics with Python Cookbook Use modern Python libraries and applications to solve real-world computational biology problems

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Product type Paperback
Published in Sep 2022
Publisher Packt
ISBN-13 9781803236421
Length 360 pages
Edition 3rd Edition
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Author (1):
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Tiago Antao Tiago Antao
Author Profile Icon Tiago Antao
Tiago Antao
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Toc

Table of Contents (15) Chapters Close

Preface 1. Chapter 1: Python and the Surrounding Software Ecology 2. Chapter 2: Getting to Know NumPy, pandas, Arrow, and Matplotlib FREE CHAPTER 3. Chapter 3: Next-Generation Sequencing 4. Chapter 4: Advanced NGS Data Processing 5. Chapter 5: Working with Genomes 6. Chapter 6: Population Genetics 7. Chapter 7: Phylogenetics 8. Chapter 8: Using the Protein Data Bank 9. Chapter 9: Bioinformatics Pipelines 10. Chapter 10: Machine Learning for Bioinformatics 11. Chapter 11: Parallel Processing with Dask and Zarr 12. Chapter 12: Functional Programming for Bioinformatics 13. Index 14. Other Books You May Enjoy

The limits of recursion with Python

Recursion – a function calling itself – is a fundamental concept in functional programming. Many languages that cater to functional programming are able to recurse ad infinitum. Python is not one of those languages. You can use recursion in Python, but you have to be aware of its limits, namely that recursion incurs quite a lot of memory costs and that it cannot be used to replace iteration – a typical case when writing functional programs.

To see the limits of recursion with Python, we are going to implement the Fibonacci sequence in several ways. As a reminder, Fibonacci can be defined as follows:

Fib(0) = 0
Fib(1) = 1
Fib(n) = Fib(n -1) + Fib(n –2)

We are also computing the factorial function, but in this case only in a recursive way:

Fact(1) = 1
Fact(n) = n * Fact(n –1 )

Getting ready

Our code is available in Chapter12/Recursion.py.

How to do it...

Follow these steps to get started:

...
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