expscipy
Overview
Enhanced version of SciPy with additional scientific computing features
This library is an enhanced version of scipy with additional features and improvements.
Features
- All features from the original scipy
- Advanced optimization
- Extended signal processing
- Improved numerical methods
- Seamless integration with other exp libraries
Installation
pip install expscipy
Quick Start
import expscipy as exp
# Example code
# Example code for expscipy
result = exp.function()
Documentation
For full documentation, visit expscipy.readthedocs.io.
Contributing
Contributions are welcome! Please feel free to submit a Pull Request.
License
Copyright (c) 2025 Sumedh Patil, Aipresso Limited, UK
This project is licensed under the MIT License - see the LICENSE file for details.
1 maintainer
Metadata
1 maintainer
Release files for expscipy 0.1.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| expscipy-0.1.2-py3-none-any.whl | Python 3 | none | any | Details |
Release files / expscipy-0.1.2-py3-none-any.whl
| Download URL | expscipy-0.1.2-py3-none-any.whl |
|---|---|
| Size | 4.0 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
8594d47d008cbf885d64df260cdabd07714f4fcba3f74b62b49dc6e50e048ef5
|
|
BLAKE2b-256 checksum How to use checksums |
f85e9bdb4383a29576f9edd0d7415fa5a5c0615d2c5aadda8f1cc3956b7c2600
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.9.6
|
