PyPolo
PyPolo is a Python library for informative planning and learning.
I am still completing the documentation. If you feel like building PyPolo together, please don't hesitate to drop me an email: chenweiz@iu.edu!
Features
- Minimum dependency → painless algorithm prototyping and education →
Robot Operating System (ROS). - Readable code, detailed documentation, interactive tutorials → easier understanding of the algorithms.
- Modular implementation → develop new algorithm in the module of your interest.
Installation
Requirements:
- Python >= 3.6
- PyTorch >= 1.10.2 (NumPy included)
- Matplotlib
conda create -n pypolo python=3.8
conda activate pypolo
pip install -e .
Metadata
Release files for pypolo 0.0.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| pypolo-0.0.3.tar.gz | 25.4 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| pypolo-0.0.3-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 62.4 kB
Release files / pypolo-0.0.3.tar.gz
| Download URL | pypolo-0.0.3.tar.gz |
|---|---|
| Size | 25.4 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.1 CPython/3.8.13
|
Release files / pypolo-0.0.3-py3-none-any.whl
| Download URL | pypolo-0.0.3-py3-none-any.whl |
|---|---|
| Size | 37.1 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/4.0.1 CPython/3.8.13
|