Ali Jaffrey,
Welcome to the Python community. We can help with your explorations.
What libraries have you started looking at? "Object-Oriented metrics" is
an area with lots of investigation and debate, but no clear "right answers."
Steven: we know your time is valuable. Thanks for writing 13 paragraphs
that end with "don't waste our time." Keep in mind that some people say
"I want" not as a demand, but to mean "my goal is." You are not
obligated to answer every message. Take care of yourself first.
--Ned.
On 11/2/19 7:38 PM, Steven D'Aprano wrote:
Hi, and welcome. Do you prefer to be known as Muhammad Ali or Ali
Jaffery? What should we call you?
On Sun, Nov 03, 2019 at 12:44:43AM +0500, Muhammad Ali wrote:
Hi,
I am CS Student currently working on my Project-Software Design Quality
Analyzer so I want some help in this regard
I want to compute Object-Oriented metrics and then have to detect various
Object-Oriented Design smells. I want to know the list of python libraries
that can be useful that I can use for this project.
There is no canonical or official list. Since you're the only one who
understands your requirements, you're the only one who can tell what is
useful or not. We can only guess at what you need, what you already
know, and what you need help with.
How well do you know Python? Are you an expert or a beginner? Do you
need advice on basic things like reading files, or more intermediate
and/or advanced areas like parsing source code, analysing AST, or
something else?
Have you looked at the standard libraries that are provided with Python?
There is a class browser, an ast library, possibly other things you may
find useful.
https://docs.python.org/3/library/language.html
Have you looked at, and rejected, existing Python linters and code
quality tools? Which ones? How closely do they come to meeting your
needs? There's no official list, but I found these:
https://code.visualstudio.com/docs/python/linting#_specific-linters
https://realpython.com/python-code-quality/
by googling for "Python linter".
Any sort of help in this regard will be highly appreciated
Help us to help you. The better quality questions you ask, the better
quality answers you are likely to get.
Be polite. Don't post a list of demands, "I want ... I want ..." but
ask actual questions. "Please" helps grease the wheels of communication,
although you did already say "thanks", so thank you in return :-)
Try not to ask vague questions, since you are likely to get vague, low
quality answers in return, or worse, no answers at all.
I know that there are many very knowledgable people here who, when faced
with what they consider poorly worded questions, will prefer to just
ignore you than to engage with you and help you ask better questions.
I've been repeatedly told by some of these people that I should do the
same, and I can understand why: I've spent over half an hour writing and
editing this email, just hitting Delete on your message would have taken
me half a second. But I think that is the very opposite of friendly and
welcoming.
Give focused questions whenever possible. If you said to your supervisor
or lecturer what you said to us:
I want to know the list of python libraries that can be useful
that I can use for this project.
what reply would you expect?
When I was at university, the reply I would have expected was "I'm very
glad to hear it. Let me know when you have constructed that list. I'm
not here to do your work for you." I'm sure that academic standards have
changed since then, but I'm pretty sure that they haven't changed so
much that asking people on the internet to research your requirements
for you is acceptable.
Rather than asking vague questions like "What do I need?", ask focused
questions that demonstrate that you have already done your homework:
This is what I already have, these are the areas where I need
help, can you point me to libraries that fill those gaps please?
Otherwise you waste our time, and we waste your time pointing you to
libraries you have already know about, or libraries that are not helpful
to you.
Regards,
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