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Learn Python Programming

You're reading from   Learn Python Programming The no-nonsense, beginner's guide to programming, data science, and web development with Python 3.7

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Product type Paperback
Published in Jun 2018
Publisher Packt
ISBN-13 9781788996662
Length 508 pages
Edition 2nd Edition
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Author (1):
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Fabrizio Romano Fabrizio Romano
Author Profile Icon Fabrizio Romano
Fabrizio Romano
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Table of Contents (16) Chapters Close

Preface 1. A Gentle Introduction to Python FREE CHAPTER 2. Built-in Data Types 3. Iterating and Making Decisions 4. Functions, the Building Blocks of Code 5. Saving Time and Memory 6. OOP, Decorators, and Iterators 7. Files and Data Persistence 8. Testing, Profiling, and Dealing with Exceptions 9. Cryptography and Tokens 10. Concurrent Execution 11. Debugging and Troubleshooting 12. GUIs and Scripts 13. Data Science 14. Web Development 15. Other Books You May Enjoy

Hashlib

This module exposes a common interface to many different secure hash and message digest algorithms. The difference in those two terms is simply historical: older algorithms were called digests, while the modern algorithms are called hashes.

In general, a hash function is any function that can be used to map data of an arbitrary size to data of a fixed size. It is a one-way type of encryption, in that it is not expected to be able to recover the message given its hash.

There are several algorithms that can be used to calculate a hash, so let's see how to find out which ones are supported by your system (note, your results might be different than mine):

>>> import hashlib
>>> hashlib.algorithms_available
{'SHA512', 'SHA256', 'shake_256', 'sha3_256', 'ecdsa-with-SHA1',
'DSA-SHA', 'sha1&apos...
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