semvec/pypi-packages huggingface dataset:
EnsembleParticleSwarmOptimization 0.2.3
Ensemble of particle swarms together with various velocity rules for function optimization
Requires Python: >=3

# PySO
Particle swarm optimizer 

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Install with ```pip install EnsembleParticleSwarmOptimization``` or ```conda install -c dig07 ensembleparticleswarmoptimization```

Currently under development. 

![Multiple Swarm](examples/hierarchical_results/animation_non_periodic.gif)

**Publications**
- LISA stellar-mass black hole searches with semicoherent and particle-swarm methods, Phys. Rev. D 108, 084014, [arxiv:2305.18048](https://arxiv.org/abs/2305.18048).

**Authors**
- Diganta Bandopadhyay
- [Christopher J. Moore](https://github.com/cjm96)
RoboBricks 0.2.4.1
A Python module for accessing the RoboBricks.
Requires Python: >=3.8
Keywords: RoboBricks

# RoboBricks library

## Introduction
RoboBricks is a full-fledged ecosystem for rapid prototyping of various entry-level robotic systems.
Thanks to the ready-made modules, you can quickly create various machines to test your ideas.
This library is designed to interact with the hardware modules "RoboBricks", which can be made independently.

## Hardware
The following hardware is supported:
* RoboBricks Button
cbcbase 1.0.0
Couchbase Connect Base
Requires Python: <4,>=3.8
Keywords: couchbase, automation

# Couchbase Quick Connect for Python 1.0.0
Couchbase connection manager. Simplifies connecting to a Couchbase cluster and performing data and management operations.

## Installing
```
$ pip install cbcbase
```

## API Usage
Connecting to a Couchbase collection, creating the bucket, scope, and collection if they do not exist.
```
session = (CBSession(hostname, username, password)
                   .session()
                   .connect_bucket(bucket, ram_quota=256, replicas=1, create=True)
                   .connect_scope(scope, create=True)
                   .connect_collection(collection, create=True))
```

Connecting to an existing Couchbase collection.
```
session = (CBSession(hostname, username, password)
                   .session()
                   .connect_bucket(bucket)
                   .connect_scope(scope)
                   .connect_collection(collection))
```