MathLib is a simple Python library for basic mathematical operations, including arithmetic and algebraic functions. It's designed to be easy to use and extendable for more advanced mathematical operations.
npm install mathlib-npm-new
MathLib/
├── mathlib/
│ ├── __init__.py
│ ├── arithmetic.py
│ ├── algebra.py
│ ├── complex_numbers.py
│ ├── logarithmic.py
│ ├── matrix_operations.py
│ ├── power_roots.py
│ ├── random_utils.py
│ ├── statistics.py
│ ├── trigonometry.py
│ └── utility.py
├── tests/
│ ├── test_arithmetic.py
│ ├── test_algebra.py
│ ├── test_complex_numbers.py
│ ├── test_logarithmic.py
│ ├── test_matrix_operations.py
│ ├── test_power_roots.py
│ ├── test_random_utils.py
│ ├── test_statistics.py
│ ├── test_trigonometry.py
│ └── test_utility.py
├── setup.py
├── README.md
└── LICENSE
`
$3
#### mathlib/__init__.py
This file makes the mathlib directory a package.
`python
mathlib/__init__.py
from .arithmetic import add, subtract, multiply, divide, power
from .algebra import solve_linear, solve_quadratic
from .trigonometry import sin, cos, tan, arcsin, arccos, arctan
from .statistics import mean, median, variance, standard_deviation
from .matrix_operations import matrix_addition, matrix_multiplication, matrix_determinant, matrix_inverse
from .complex_numbers import complex_addition, complex_subtraction, complex_multiplication, complex_division, complex_magnitude, complex_phase
from .random_utils import random_integer, random_float
from .utility import factorial, gcd, lcm
__all__ = [
'add', 'subtract', 'multiply', 'divide', 'power',
'solve_linear', 'solve_quadratic',
'sin', 'cos', 'tan', 'arcsin', 'arccos', 'arctan',
'mean', 'median', 'variance', 'standard_deviation',
'matrix_addition', 'matrix_multiplication', 'matrix_determinant', 'matrix_inverse',
'complex_addition', 'complex_subtraction', 'complex_multiplication', 'complex_division', 'complex_magnitude', 'complex_phase',
'random_integer', 'random_float',
'factorial', 'gcd', 'lcm'
]
`
#### Crete the python files for various kind of mathematical functions.
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Create some basic tests for your package.
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#### setup.py
`python
setup.py
from setuptools import setup, find_packages
setup(
name='mathlib',
version='0.1',
packages=find_packages(),
description='A simple math library with basic operations',
long_description=open('README.md').read(),
long_description_content_type='text/markdown',
author='Arun Kumar Pandey',
author_email='arunp77@gmail.com',
url='https://github.com/arunp77/mathlib-package.git',
license='MIT',
install_requires=[],
classifiers=[
'Programming Language :: Python :: 3',
'License :: OSI Approved :: MIT License',
'Operating System :: OS Independent',
],
)
`
This setup.py file is used to install the package using pip. It includes metadata such as
Testing
To run the tests for this project, use pytest:
`bash
pytest tests/
`
This will run the test suite located in the tests directory, ensuring that all functions work as expected.
To check the individial operations, go to the test folder and run each file with pytest. FOr example, to check the operations insdie the functions defined in algebra.py, run:
`bash
pytest algebra.py
`
---------
Installation
- Step-1: Install the Package Locally
You can install MathLib directly from the source code:
`bash
git clone https://github.com/arunp77/Data-engineering-tools.git
`
Navigate to the root directory of your project (where setup.py is located)
`bash
cd /Data-engineering-tools/mathlib
`
and then run:
`bash
pip install -e . -v
`
The -e flag stands for "editable," which means any changes you make to the code will immediately be reflected without needing to reinstall the package. Here -v will give you more detailed output about what is happening during the installation process.
!alt text
We can alsi install it using:
`bash
pip install mathlib
`
!alt text
- Step 2: Verify Installation
After running the installation, you can verify that the package was installed by running:
`bash
pip show mathlib
`
This should display information about the mathlib package, such as the version and location.
> Verify Import in Python Shell:
> Try importing mathlib directly in the Python shell to ensure it is correctly recognized:
> `bash
> >>> import mathlib
>
> >>> mathlib
> `
> We can also install mathlib, directly using setup.py file, using:
> `bash
> python setup.py install --verbose
> `
> This will give you more detailed output about what is happening during the installation process.
>
> If you're using pip install, you can add the -v option for verbose output:
- Step 3: Run the Tests
Once the package is installed, you should run the tests to ensure everything is working as expected.
Navigate to the root directory of your project and run:
`bash
pytest tests/
`
This will execute the tests defined in tests/test_arithmetic.py and tests/test_algebra.py. If all the tests pass, it indicates that your package is functioning correctly.
- Step 4: Create Docekrimage
`bash
docker build -t arunp77/mathlib:latest .
`
and then push it to DOcker.
`bash
docker push arunp77/mathlib:latest
``