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What’s New In Python 3.5
Learn about the major changes and improvements in Python 3.5, such as coroutines, matrix multiplication, type hints, and SSLv3 disablement. See examples of the new syntax, modules, and features, and how to upgrade from Python 3.4.
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Python Release Python 3.5.0 | Python.org
Python 3.5.0 was released on September 13th, 2015 with new features such as PEP 448, PEP 461, PEP 471, PEP 475, PEP 479, PEP 484, PEP 485, PEP 486, PEP 488, PEP 489, and PEP 492. See the full changelog, online documentation, and download links for various platforms.
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What are type hints in Python 3.5? - Stack Overflow
One of the most talked-about features in Python 3.5 is type hints. An example of type hints is mentioned in this article and this one while also mentioning to use type hints responsibly. Can someone explain more about them and when they should be used and when not? You should take a look at PEP 484 which is linked from the official changelog.
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Summary of Major Changes Between Python Versions - NicholasHairs.com
This post is designed to be a quick reference for the major changes introduced with each new version of Python. This can help with taking advantages of using new features as you upgrade your code base, or ensuring that you have the correct guards for compatibility with older versions.
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Status of Python versions - Python Developer's Guide
The main branch is currently the future Python 3.14, and is the only branch that accepts new features. The latest release for each Python version can be found on the download page. (See below for a chart with older versions. Another useful visualization is endoflife.date/python.) Dates shown in italic are scheduled and can be adjusted.
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How the heck does async/await work in Python 3.5? - Tall, Snarky Canadian
But until recently I didn't understand how async / await worked in Python 3.5. I knew that yield from in Python 3.3 combined with asyncio in Python 3.4 had led to this new syntax.
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Welcome to Python.org
Python allows mandatory and optional arguments, keyword arguments, and even arbitrary argument lists. More about defining functions in Python 3. Lists (known as arrays in other languages) are one of the compound data types that Python understands. Lists can be indexed, sliced and manipulated with other built-in functions.
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PEP 484 – Type Hints | peps.python.org
For example, the type “sequence of integers” can be written as Sequence[int]. The square brackets mean that no new syntax needs to be added to the language. The example here uses a custom type Sequence, imported from a pure-Python module typing.
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PySpark 3.5 Tutorial For Beginners with Examples
In this PySpark tutorial, you’ll learn the fundamentals of Spark, how to create distributed data processing pipelines, and leverage its versatile libraries to transform and analyze large datasets efficiently with examples.
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Python Release Python 3.5.4 | Python.org
Python 3.5.4 is the last "bugfix" release of 3.5. The Python 3.5 branch has now entered "security fixes only" mode; going forward, the only improvements made in the 3.5 branch will be security fixes. Change log for this release. Help fund Python and its community.