On 3/4/2013 7:06 AM, Akshit Agarwal wrote:
I am new to Python Community but I am using Python from around 1 year and I love to do coding on Python.
So do I.
Now I want to introduce an idea that I think should be there in Python which is I want to start working on a *"Algorithms Library"* which would be containing all basic Algorithms in its Intial Phase and then we can
There is no agreed-on set of 'basic algorithms'.
Anyway, Python already includes most basic algorithms either built-in or in the stdlib. And the implementation may be *better* than found in any book. An example is timsort, available both and list.sorted and sorted(iterable). hash() has a carefully designed hash algorithm that now takes into account denial-of-service attaches. Python dicts are sophisticated hash tables. The itertools module has basic algorithms for iterables, including .product and .combinations.
Beyond this, there are thousands of third-party packages that are nothing but more and more algorithms.
include all Algorithms which are listed in Introduction to Algorithms by CLRS and further extending to all possible algorithms which should be included.
There is no finite set of 'possible algorithms'. Every function is an algorithm, or if you prefer, implements an algorithm.
A typical algorithms text has a grab-bag of algorithms selected for particular didactic purposes. They usually do not form a coherent module or package.
Python versions of the algorithms in a particular popular book that does not use Python might be a useful package to put on PyPI, but I would be careful about copyright and intellectual property issues.
Implementing this will be very good for Python as Algorithms are used everywhere and developers have to spent a lot of their time in implementing the common algorithms
Do you have any particular examples in mind?