Immutable vs Mutable Objects in Python

>> YOUR LINK HERE: ___ http://youtube.com/watch?v=p9ppfvHv2Us

https://dbader.org/python-tricks ► Improve your Python skills, one bite at a time and write Pythonic and beautiful code. • In Python, immutable vs mutable data types and objects types can cause some confusion—and weird bugs. With this video you'll see what the difference between mutable and immutable data types is in Python, and how you can use it to your advantage in your own programs. • You'll also see how to deal with a language quirk in Python that allows objects referenced by immutable types to me modified. Python's definition of immutable can be a bit misleading: • Basically, the promise of immutability on tuples is only partly true. The tuple itself cannot be modified, but objects referenced by the tuple can be. This is sometimes called non-transitive immutability. • If the tuple has an immutable field like a string for example, then it cannot be modified. A mutable field like a list however, can be edited, even if it's embedded in the immutable tuple. • When the Python documentation refers to an object as being immutable they mean the behavior above observed. Other immutable types in Python behave the same way, e.g. namedtuples or frozensets. • If you've ever encountered the following exception and now you want to know why, this is the video for you: • TypeError: 'tuple' object does not support item assignment • * * • ► Python MUGS, T-SHIRTS MORE: https://nerdlettering.com • FREE Python Tutorials News: • » Python Tutorials: https://dbader.org • » Python News on Twitter: / @dbader_org • » Weekly Tips for Pythonistas: https://dbader.org/newsletter • » Subscribe to this channel: https://dbader.org/youtube

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