• ericjmoreyOP
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    1 year ago

    Thank you for your words of caution. I’ve copied below what the author has to say about Python 2 vs Python 3:

    Picking a Python Interpreter (3 vs 2) — The Hitchhiker’s Guide to Python

    .

    The State of Python (3 & 2)

    When choosing a Python interpreter, one looming question is always present: “Should I choose Python 2 or Python 3”? The answer is a bit more subtle than one might think.

    The basic gist of the state of things is as follows:

    1 - Most production applications today use Python 3.
    2 - Python 3 is ready for the production deployment of applications today.
    3 - Python 2 reached the end of its life on January 1, 2020 [6].
    4 - The brand name “Python” encapsulates both Python 3 and Python 2.

    Recommendations

    Note

    The use of Python 3 is highly recommended over Python 2. Consider upgrading your applications and infrastructure if you find yourself still using Python 2 in production today. If you are using Python 3, congratulations — you are indeed a person of excellent taste. —Kenneth Reitz

    I’ll be blunt:

    Use Python 3 for new Python applications. If you’re learning Python for the first time, familiarizing yourself with Python 2.7 will be very useful, but not more useful than learning Python 3. Learn both. They are both “Python”.

    So…. 3?

    If you’re choosing a Python interpreter to use, I recommend you use the newest Python 3.x, since every version brings new and improved standard library modules, security and bug fixes.

    Given such, only use Python 2 if you have a strong reason to, such as a pre-existing code-base, a Python 2 exclusive library, simplicity/familiarity, or, of course, you absolutely love and are inspired by Python 2. No harm in that.

    Further Reading

    It is possible to write code that works on Python 2.6, 2.7, and Python 3. This ranges from trivial to hard depending upon the kind of software you are writing; if you’re a beginner there are far more important things to worry about.

      • ericjmoreyOP
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        1 year ago

        The resource is about exactly this type of information. It’s not a resource that contains code examples. It has concisely presented information about things that aren’t in the Python documentation or is overly technical and verbose in the documentation. It’s a stepping stone providing context to getting more (and more current) resources.