On 1/07/20 1:18 AM, Richard Damon wrote:
On 6/30/20 8:26 AM, Cameron Simpson wrote:
On 30Jun2020 10:52, satyaprasad <satyaprasad@mail.g> wrote:
Hi, I am currently in learning process of python have been worked on
some desktop application using pyqt . I want improve my DSA area but i
searched so many videos mot sure how to start . 1.Do i really need learn
datastructures in c or c++ to get complete logical details. 2 .or shall
i start learn using python itself then where to start . Can some one
give me a road map for DSA with python.
In my opinion you are better off using Python. In C and (less so) in C++
there is a lot of cruft around managing memory and allocating sizes, not
to mention additional verbiage. In Python you are far freer to
concentrate on the data structures and algorithms themselves.
Maybe start here:
https://duckduckgo.com/html?q=python%20data%20structures%20and%20algorithms%20tutorials
Cheers,
Cameron Simpson <c...@cskk.id.au>
I would disagree a bit here, a lot depends on WHY and WHAT you want to
learn about Data Structures and Algorithms. A lot of learning Data
Structures is learning to understand the actual typical structure of the
Data Structure, and seeing the explicit pointers can be helpful here.
Python may be better for the Algorithms side, where hiding some of the
gritty detail can be more useful, though that hiding might obscure some
details if you want to think about what is the complexity of an operation.
Yes, there's quite a bit of room for discussing what to learn and why
one might want to learn such; expanding into 'what is ComSc' and why/how
might learning such topics benefit a professional programmer (or
specialist in one particular arena); and the list goes on...
For decades I have lusted (well, almost) for a copy of Knuth's library
(but it is NOT a training resource). However, I also reflect that a lot
of our study as u/grads, eg learning and comparing multiple sorting
algorithms; is almost irrelevant these days, and with Python - sort() is
at-least 'good enough' for 99% of (my) in-RAM applications.
(and Knuth started his collection of algorithms in the 1960s, IIRC)
To the OP: recommending you view both Coursera.org and edX.org. The
likes of Georgia Tech and U.Mich[igan] offer series of courses using
Python as their illustration language. In combination with increasing
your Python skills, you will thus be able to follow a structured series,
or to pick-and-choose from their syllabi to suit your particular
needs/interests.
Courses are usually chargeable, but most can be "audited" for $free (you
might have to wind through the dialog-boxes, and will likely not be able
to submit exams/assignments for consideration)
(Disclosure: I train using edX - but not in Python)
--
Regards =dn
--
https://mail.python.org/mailman/listinfo/python-list
