SpAlgo is a python library with special algorithms which can help you in your education or any other purpose.
SpAlgo is a python library with special algorithms which can help you in your education or any other purpose. By now, this library contains some algorithms for the following items and other algorithms will be added soon.
- Sequence
- Array
- Matrix
- Knapsack
- Closest Pair
- F32bit
- F64bit
- Newton's Method
- Secant Method
life is so short so you don't need to spend your time implementing these algorithms so we recommend you use SpAlgo if you want to have a faster experience.
In the following paragraphs, I am going to describe how you can get and use SpAlgo for your own projects.
To download SpAlgo, either fork this github repo or simply use Pypi via pip.
$ pip install SpAlgo
SpAlgo was programmed with ease-of-use in mind. First, import Matrix, Array and Subsequence from SpAlgo
for more exact usage documents you can see the example files here
from SpAlgo import Matrix, Array, MaxSubseq, Knapsack, ClosestPair, Point
then you can them bassed on what you need.
Array
the current available methods are:
findPeak()
findAllPeak()
findFisrtPeak()
findMaxPeak()
findMaxPeak()
Matrix
the current available methods are:
findPeak()
findAllPeak()
Sequence
the current available methods are:
maximmum_sum()
subsequence()
Knapsack
the current available methods are:
getPack()
getTotalValue()
getUsedWeight()
getWastedWeight()
getCrumbledItem()
ClosestPair
the current available methods are:
get_min_distance()
get_closest_pair()
F32bit
andF64bit
the current available methods are:
get_exponent()
get_significand()
get_floating_point()
Newton
andSecant
the current available methods are:
solve()
Supported versions of python for this library are as follow:
This project is under MIT license read it here:
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The above copyright notice and this permission notice shall be included in all
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SOFTWARE.