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  • Book Overview & Buying Mastering Python 2E
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Mastering Python 2E

Mastering Python 2E - Second Edition

By : Rick Hattem
4.6 (65)
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Mastering Python 2E

Mastering Python 2E

4.6 (65)
By: Rick Hattem

Overview of this book

Even if you find writing Python code easy, writing code that is efficient, maintainable, and reusable is not so straightforward. Many of Python’s capabilities are underutilized even by more experienced programmers. Mastering Python, Second Edition, is an authoritative guide to understanding advanced Python programming so you can write the highest quality code. This new edition has been extensively revised and updated with exercises, four new chapters and updates up to Python 3.10. Revisit important basics, including Pythonic style and syntax and functional programming. Avoid common mistakes made by programmers of all experience levels. Make smart decisions about the best testing and debugging tools to use, optimize your code’s performance across multiple machines and Python versions, and deploy often-forgotten Python features to your advantage. Get fully up to speed with asyncio and stretch the language even further by accessing C functions with simple Python calls. Finally, turn your new-and-improved code into packages and share them with the wider Python community. If you are a Python programmer wanting to improve your code quality and readability, this Python book will make you confident in writing high-quality scripts and taking on bigger challenges
Table of Contents (21 chapters)
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19
Other Books You May Enjoy
20
Index

lambda functions

The lambda statement in Python is simply an anonymous function. Due to the syntax, it is slightly more limited than regular functions, but a lot can be done through it. As always though, readability counts, so generally it is a good idea to keep it as simple as possible. One of the more common use cases is as the sort key for the sorted function:

>>> import operator

>>> values = dict(one=1, two=2, three=3)

>>> sorted(values.items())
[('one', 1), ('three', 3), ('two', 2)]

>>> sorted(values.items(), key=lambda item: item[1])
[('one', 1), ('two', 2), ('three', 3)]

>>> get_value = operator.itemgetter(1)
>>> sorted(values.items(), key=get_value)
[('one', 1), ('two', 2), ('three', 3)]

The first version sorts by key and the second sorts by the value. The last one shows an alternative option using operator.itemgetter...

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Mastering Python 2E
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