Synaptik
A Python library for neural connections, memory formation, and intelligence.
Installation
Install from PyPI:
pip install synaptik
Or install from source:
git clone https://github.com/hemprasadbadgujar/synaptik.git
cd synaptik
pip install -e .
Quick Start
from synaptik import hello_world
print(hello_world())
# Output: Hello, World! Welcome to Synaptik!
Development
Setup Development Environment
git clone https://github.com/hemprasadbadgujar/synaptik.git
cd synaptik
pip install -e ".[dev]"
Running Tests
pytest
Publishing to PyPI
This package is automatically published to PyPI when a new release is created on GitHub.
Manual Publishing
- Update the version in
pyproject.tomlandsetup.py - Build the package:
python -m build
- Upload to PyPI:
python -m twine upload dist/*
Automatic Publishing via GitHub Actions
The package is automatically published when you:
- Create a new release on GitHub (tagged release)
- Or manually trigger the workflow from GitHub Actions
Note: You need to configure PyPI trusted publishing:
- Go to PyPI → Account Settings → API tokens
- Add a new API token with "Trusted publishing"
- Add your GitHub repository to the trusted publishers
License
MIT License - see LICENSE file for details.
Contributing
Contributions are welcome! Please feel free to submit a Pull Request.
Author
Hemprasad Badgujar
1 maintainer
Metadata
1 maintainer
Release files for synaptik 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| synaptik-0.1.0.tar.gz | 3.8 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| synaptik-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 7.2 kB
Release files / synaptik-0.1.0.tar.gz
| Download URL | synaptik-0.1.0.tar.gz |
|---|---|
| Size | 3.8 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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|
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BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.12.12
|
Release files / synaptik-0.1.0-py3-none-any.whl
| Download URL | synaptik-0.1.0-py3-none-any.whl |
|---|---|
| Size | 3.4 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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|
|
BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.12.12
|
Security for synaptik 0.1.0
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
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To learn more about protecting yourself from malicious actors, visit our package security documentation.
