Skip to main content

Logo

An algorithm visualization pip package for Python
Explore the docs »

Table of Contents
  1. Getting Started
  2. Algorithms
  3. Notebooks
  4. TODO
  5. Acknowledgments

Getting Started

Installation

Stable release

To install artific, run this command in your terminal

pip install artific

This is the preferred method to install artific, as it will always install the most recent stable release.

If you don't have pip installed, this Python installation guide can guide you through the process.

Algorithms

Sorting

Bubblesort

from artific import BubbleSort

arr = [90,6,2,55,67,2,0,12,92,5,76,2,9,3]
arr = BubbleSort(arr)

arr.visualize()
print(arr)

Output

[0, 2, 2, 2, 3, 5, 6, 9, 12, 55, 67, 76, 90, 92]

The code above will generate the following GIF

Insertionsort

from artific import InsertionSort

arr = [90,6,2,55,67,2,0,12,92,5,76,2,9,3]
arr = InsertionSort(arr)

arr.visualize()
print(arr)

Output

[0, 2, 2, 2, 3, 5, 6, 9, 12, 55, 67, 76, 90, 92]

The code above will generate the following GIF

Heapsort

from artific import HeapSort

arr = [90,6,2,55,67,2,0,12,92,5,76,2,9,3]
arr = HeapSort(arr)

arr.visualize()
print(arr)

Output

[0, 2, 2, 2, 3, 5, 6, 9, 12, 55, 67, 76, 90, 92]

The code above will generate the following GIF

Searching

from artific import LinearSearch

arr = [90,6,2,55,67,2,0,12,92,5,76,2,9,3]
obj = LinearSearch(arr,1)

obj.visualize()
print(obj)

Output

3

The code above will generate the following GIF

Linear search

from artific import BinarySearch

arr = [0, 2, 2, 2, 3, 5, 6, 9, 12, 55, 67, 76, 90, 92]
obj = LinearSearch(arr,55)

obj.visualize()
print(obj)

Output

9

The code above will generate the following GIF

TODO

  • Searching
  • Graph Algorithms
  • Trees

Acknowledgments

This package was created with Cookiecutter and the audreyr/cookiecutter-pypackage project template.

Metadata

Release files for artific 0.0.13

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for artific 0.0.13
File Size Uploaded
artific-0.0.13.tar.gz 2.8 MB Details

Built distribution (wheel)

Table of built distributions (wheels) for artific 0.0.13
File Interpreter ABI Platform
artific-0.0.13-py2.py3-none-any.whl Python 3, Python 2 none any Details

Total release size: 2.8 MB

Release files / artific-0.0.13.tar.gz

Download URL artific-0.0.13.tar.gz
Size 2.8 MB
Tags Source
SHA-256 checksum
How to use checksums
3b30a255d373235728c95cc414be97c8d8de4967cb4174f9b9b373ba41bb0fed
BLAKE2b-256 checksum
How to use checksums
a95ebcd154de6fc98a6eaeb1dcd818e0a7ecaa6e2c922215feac1c29dae7ced4
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.4.2 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.9

Release files / artific-0.0.13-py2.py3-none-any.whl

Download URL artific-0.0.13-py2.py3-none-any.whl
Size 7.0 kB
Tags Python 2 Python 3
SHA-256 checksum
How to use checksums
ca5543f5d79c82cc2a8c6cab727b15276d4b9844c2863a14ed63ba6984dbd028
BLAKE2b-256 checksum
How to use checksums
dda84d613ad32bfa9ea68ac75d65173c93bf273d92efa2c7d1a3661389aa0a3e
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.4.2 importlib_metadata/4.8.1 pkginfo/1.7.1 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.9.9

Release history Release notifications | RSS feed

This release

0.0.13 This release

2 release files

0.0.11

2 release files

0.0.9

2 release files

0.0.3

2 release files

0.0.1

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page