Skip to content

neuroradiology/pygorithm

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Pygorithm

Documentation Status Python 3.6
A Python module to learn all the major algorithms on the go!
Purely for educational purposes

Features

  • Super easy to use
  • A very easy to understand Documentation
  • Get the code right in your editor
  • Get time complexities on the go

Installation

  • Just fire the following command in your terminal:
pip3 install pygorithm
  • It's that easy. If you are using Python 2.7 use pip instead. Depending on your
    permissions, you might need to use pip install --user pygorithm to install.
  • Or you can download the source code from here, and then just install the package using
python setup.py install

Quick Start Guide

  • To sort your list
from pygorithm.sorting import bubble_sort
myList = [12, 4, 3, 5, 13, 1, 17, 19, 15]
sortedList = bubble_sort.sort(myList)
print(sortedList)
  • To get the code for function used
from pygorithm.sorting import bubble_sort
code = bubble_sort.get_code()
print(code)
  • To get the time complexity of an algorithm
from pygorithm.sorting import bubble_sort
time_complexity = bubble_sort.time_complexities()
print(time_complexity)
  • To see all the available functions in a module, you can just type help() with the module name as argument. For example,
>>> from pygorithm import sorting
>>> help(sorting)
    Help on package pygorithm.sorting in pygorithm:

    NAME
        pygorithm.sorting - Collection of sorting methods

    PACKAGE CONTENTS
        bubble_sort
        bucket_sort
        counting_sort
        heap_sort
        insertion_sort
        merge_sort
        modules
        quick_sort
        selection_sort
        shell_sort
>>> from pygorithm.sorting import bubble_sort
>>> help(bubble_sort)

Tests

  • Just type in the following command to run the tests
python3 -m unittest
  • This will run all the tests defined in the files of the tests/ directory

Donation

If you have found my softwares to be of any use to you, do consider helping me pay my internet bills. This would encourage me to create many such softwares :)

About

A Python module for learning all major algorithms

Resources

License

Stars

Watchers

Forks

Packages

No packages published

Languages

  • Python 100.0%