SpAlgo is a python library with special algorithms which will helps you in your education and your tasks.
Project description
SpAlgo
SpAlgo is a python library with special algorithms which can help you in your education or any other purpose.
Overview
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
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.
Usage
In the following paragraphs, I am going to describe how you can get and use SpAlgo for your own projects.
Getting it
To download SpAlgo, either fork this github repo or simply use Pypi via pip.
$ pip install SpAlgo
Using it
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()
Support
Supported versions of python for this library are as follow:
License
This project is under MIT license read it here:
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
File details
Details for the file SpAlgo-0.4.0.tar.gz
.
File metadata
- Download URL: SpAlgo-0.4.0.tar.gz
- Upload date:
- Size: 15.2 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.62.3 importlib-metadata/4.11.1 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.10.2
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 3e971abac2b3d4e618b621a9059ddf359a41b002a9443b33ab63a97c6af2e16d |
|
MD5 | ec1726bb7799d1db075c6c3dd9958a8a |
|
BLAKE2b-256 | 45e107f0b81b7c129e4f4c129cb55892be80e38abea248132d07f75fc79b03da |
File details
Details for the file SpAlgo-0.4.0-py3-none-any.whl
.
File metadata
- Download URL: SpAlgo-0.4.0-py3-none-any.whl
- Upload date:
- Size: 16.3 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.62.3 importlib-metadata/4.11.1 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.10.2
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 73164030cb0376666d7c0901886d081c2a7c78c1757392ea0fcd55ac2f22be4f |
|
MD5 | d9d1bea80fea818c962de67ee564c07e |
|
BLAKE2b-256 | 375ea900f769db7e98a6e86e86c52785142e9824a81639a71d834a0a1edaa467 |