This package includes implementations of three different sorting algorithms:
insertion, quicksort, and bubble. Each exist in this repo as standard
Python and as compiled Cython code to demonstrate how Cython can speedup Python
code with only minimal changes.
Pure Python versions of sort algorithms can be imported from sortable.py.* and
the compiled Cython version can be imported from sortable.c.* (after running
the build / installation steps in setup.py)
├── src/
│ └── sortable/
│ ├── c/
│ │ ├── __init__.py
│ │ └── algorithms.pyx
│ ├── py/
│ │ ├── __init__.py
│ │ └── algorithms.py
│ ├── __init__.py
│ └── benchmark.py
└── tests/
├── __init__.py
└── test_sortable.py
- Clone repo
- Create and activate virtual env
- Build Cython
$ python setup.py build_ext --inplace - Install
$ python setup.py install
python src/sortable/benchmark.py {path to sort algorithm} {times to run}
Examples:
$ python src/sortable/benchmark.py sortable.py.quicksort 25
0.1855695
$ python src/sortable/benchmark.py sortable.c.quicksort 25
0.070509303
$ python src/sortable/benchmark.py sortable.py.insertion 25
3.557346874
$ python src/sortable/benchmark.py sortable.c.insertion 25
1.147218161
$ python src/sortable/benchmark.py sortable.py.bubble 25
13.84022062
$ python src/sortable/benchmark.py sortable.c.bubble 25
4.789788046Requires installing pytest
$ pytest
============================================= test session starts =============================================
platform darwin -- Python 3.8.0, pytest-5.3.1, py-1.8.0, pluggy-0.13.1
rootdir: /Users/josh/www/sortable
collected 24 items
tests/test_sortable.py ........................ [100%]
============================================= 24 passed in 0.42s ==============================================
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent