Skip to main content

A basic python library that has modules for maths and algorithms

Project description

logo

Open Source Love PyPI version License: MIT Downloads

forthebadge made-with-python

A basic Python library that has modules for math functions, algorithms, and puzzles.

Installation

Use the package manager pip to install Algopylib.

pip install Algopylib 

Usage

import Algopylib.algo.check as ck

ck.is_power_of_2(32) # returns True 
ck.is_even(3) # returns False 

Package Structure

├── Algopylib
│   ├── algo
│      ├── __init__.py
│      ├── binary.py
│      ├── check.py
│      └── sort.py
│   ├── math
│      ├── __init__.py
│      ├── combinatorics.py
│      ├── gcd_lcm.py
│      ├── geometry.py
│      ├── matrix.py
│      ├── series.py
│      └── stat.py
│   └── puzzle
│       ├── __init__.py
│       ├── sudoku.py
│       └── tictaktoe.py
└── __init__.py

Contents

Algo

Implementation of simple Algorithms.

  • Binary
    • Binary sum
  • Check
    • Is power of 2
    • Is power of N
    • Is square
    • Is palindrome
    • Is subsequence
    • Is even
    • Is odd
    • Is prime
  • Sort
    • Bubble sort
    • Insertion sort

Math

Implementation of useful Math functions.

  • Combinatorics
    • Factorial
    • nCr
    • nPr
  • GCD LCM
    • GCD
    • LCM
    • Trailing zeroes
    • GCD using bitwise operator
  • Geometry
    • Distance
    • Is collinear
    • Equation of line
    • Is inside circle
    • Area of triangle
  • Matrix
    • Determinant of 2x2 matrix
    • Determinant of 3x3 matrix
    • Inverse of 2x2 matrix
    • Inverse of 3x3 matrix
  • Series
    • Nth term of AP
    • Nth term of GP
    • Sum of AP
    • Sum of GP
  • Statistics
    • Mean
    • Float mean
    • Geometric mean
    • Harmonic mean
    • Median
    • Low and high median
    • Median-grouped
    • Mode
    • Multimode
    • Quantiles
    • Population variance
    • Sample variance
    • Population standard deviation
    • Sample Standard deviation
    • Sample covariance

Puzzle

Implementation of simple Puzzles.


Setup for devs

For Windows,

  1. Use pip install virtualenv
  2. Run virtualenv nameofvenv in terminal
  3. Activate that virtualenv (different for different os)
  4. Run pip install -r requirements.txt in terminal (virtualenv should be activated)
  5. To compile library, run python setup.py sdist bdist_wheel in terminal

For other OS,

  1. Use pip install virtualenv
  2. Run virtualenv nameofvenv in terminal
  3. Activate that virtualenv
  4. Run following command in terminal,
    • python -m pip install -upgrade pip
    • pip install wheel
    • pip install twine
    • pip install mypy
  5. To compile library, run python setup.py sdist bdist_wheel in terminal

Contributing

Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.
Please make sure to update tests as appropriate.

License

MIT

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

Algopylib-0.0.3-py3-none-any.whl (17.5 kB view details)

Uploaded Python 3

File details

Details for the file Algopylib-0.0.3-py3-none-any.whl.

File metadata

  • Download URL: Algopylib-0.0.3-py3-none-any.whl
  • Upload date:
  • Size: 17.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.2.0 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.61.0 CPython/3.9.4

File hashes

Hashes for Algopylib-0.0.3-py3-none-any.whl
Algorithm Hash digest
SHA256 7cac9601c249b25e51d3054fc42dc5af8ac876432fc44bfdd614489f8b08079d
MD5 0930a2541598e4f51d56750e070701fc
BLAKE2b-256 661c504435aef90763566dcafa019ee2ba22266da2b60ca733f0a1347007c0e0

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page