semvec/pypi-packages huggingface dataset:
esp-serial-find 0.3.3
Find the ESP32 serial port name with device serial number on macOS.
License: MIT
Requires Python: >=3.6.2,<4.0

# ESP Serial Find


[![pypi](https://img.shields.io/pypi/v/esp-serial-find.svg)](https://pypi.org/project/esp-serial-find/)
[![python](https://img.shields.io/pypi/pyversions/esp-serial-find.svg)](https://pypi.org/project/esp-serial-find/)
[![Build Status](https://github.com/ProfFan/esp-serial-find/actions/workflows/dev.yml/badge.svg)](https://github.com/ProfFan/esp-serial-find/actions/workflows/dev.yml)
[![codecov](https://codecov.io/gh/ProfFan/esp-serial-find/branch/main/graphs/badge.svg)](https://codecov.io/github/ProfFan/esp-serial-find)



Find the ESP32 serial port name with device serial number on macOS and GNU/Linux.


* Documentation: <https://ProfFan.github.io/esp-serial-find>
* GitHub: <https://github.com/ProfFan/esp-serial-find>
* PyPI: <https://pypi.org/project/esp-serial-find/>
* Free software: MIT


## Features

* Find the ESP32 serial port name with device serial number on macOS and GNU/Linux.
* `-s` option to print the path for the given serial number
* `-v` option to print verbose output
* Without any option: print all serial ports and their serial numbers

```bash
usage: esp-serial-find [-h] [--verbose] [--serial SERIAL]

options:
  -h, --help            show this help message and exit
  --verbose, -v         Print verbose output
  --serial SERIAL, -s SERIAL
                        Print the path for the given serial number
```

## Example

### Print all serial ports and their serial numbers

```bash
$ esp-serial-find
70:EE:50:1C:1B:0C /dev/cu.usbserial-0001
70:EE:50:1C:1B:0D /dev/cu.usbserial-0002
70:EE:50:1C:1B:0E /dev/cu.usbserial-0003
```

### Print the path for the given serial number

```bash
$ esp-serial-find -s 70:EE:50:1C:1B:0C
/dev/cu.usbserial-0001
```

## Credits

This package was created with [Cookiecutter](https://github.com/audreyr/cookiecutter) and the [waynerv/cookiecutter-pypackage](https://github.com/waynerv/cookiecutter-pypackage) project template.
genomixhub-api 1.0.0rc5
genomixhub-api integrates genomics information into GenomiXHub reports.
License: MIT
Requires Python: >=3.8,<4.0

# Overview

genomixhub-api integrates genomics information into GenomiXHub reports.

This project was generated with [cookiecutter](https://github.com/audreyr/cookiecutter) using [jacebrowning/template-python](https://github.com/jacebrowning/template-python).

[![Unix Build Status](https://img.shields.io/github/actions/workflow/status/n-kostadinov/genomixhub-api/main.yml?branch=main&label=linux)](https://github.com/n-kostadinov/genomixhub-api/actions)
[![Windows Build Status](https://img.shields.io/appveyor/ci/n-kostadinov/genomixhub-api.svg?label=windows)](https://ci.appveyor.com/project/n-kostadinov/genomixhub-api)
[![Coverage Status](https://img.shields.io/codecov/c/gh/n-kostadinov/genomixhub-api)](https://codecov.io/gh/n-kostadinov/genomixhub-api)
[![Scrutinizer Code Quality](https://img.shields.io/scrutinizer/g/n-kostadinov/genomixhub-api.svg)](https://scrutinizer-ci.com/g/n-kostadinov/genomixhub-api)
[![PyPI License](https://img.shields.io/pypi/l/genomixhub-api.svg)](https://pypi.org/project/genomixhub-api)
[![PyPI Version](https://img.shields.io/pypi/v/genomixhub-api.svg)](https://pypi.org/project/genomixhub-api)
[![PyPI Downloads](https://img.shields.io/pypi/dm/genomixhub-api.svg?color=orange)](https://pypistats.org/packages/genomixhub-api)

## Setup

### Requirements

* Python 3.8+

### Installation

Install it directly into an activated virtual environment:

```text
$ pip install genomixhub-api
```

or add it to your [Poetry](https://poetry.eustace.io/) project:

```text
$ poetry add genomixhub-api
```

## Usage

After installation, the package can be imported:

```text
$ python
>>> import genomixhub
>>> genomixhub.__version__
```
sada 0.4.0
A Django package to handle SadaBiz payment links.
License: MIT

# Sada

Sada is a Django package designed to handle SadaBiz payment links.

## Installation

To install the package, you can use pip:

```
pip install sada
```

## Usage

After installing the package, you need to add it to your Django project.

In your `settings.py` file, add `sada` to your `INSTALLED_APPS`:

```python
INSTALLED_APPS = [
...
'sada',
...
]
```

Then, include the sada URLconf in your project `urls.py`:

```python
from django.urls import include

urlpatterns = [
...
path('sada/', include('sada.urls')),
...
]
```

Now you can run Django's command to check for any database migrations:

```
python manage.py makemigrations
python manage.py migrate
```

## Models

Sada provides two main models: `Product` and `Price`.

- `Product` represents a product with fields like name, description, active, and metadata.
- `Price` represents the pricing information related to a product.

## Views

Sada provides several views for managing products and prices:

- `ProductListView`: Displays a list of all products.
- `ProductDetailView`: Displays detailed information about a specific product.
- `ProductCreateView`: Allows you to create a new product.
- `ProductUpdateView`: Allows you to update an existing product.
- `ProductDeleteView`: Allows you to delete a product.

- `PriceListView`: Displays a list of all prices.
- `PriceDetailView`: Displays detailed information about a specific price.
- `PriceCreateView`: Allows you to create a new price.
- `PriceUpdateView`: Allows you to update an existing price.
- `PriceDeleteView`: Allows you to delete a price.

These views are accessible via the URLs defined in `sada/urls.py`.

## Templates

Sada provides several templates for displaying products and prices:

- `sada/product/product_list.html`: Displays a list of all products.
- `sada/product/product_detail.html`: Displays detailed information about a specific product.
- `sada/product/product_form.html`: Displays a form for creating or updating a product.
- `sada/product/product_confirm_delete.html`: Displays a confirmation prompt before deleting a product.

- `sada/price/price_list.html`: Displays a list of all prices.
- `sada/price/price_detail.html`: Displays detailed information about a specific price.
- `sada/price/price_form.html`: Displays a form for creating or updating a price.
- `sada/price/price_confirm_delete.html`: Displays a confirmation prompt before deleting a price.

You can customize these templates to suit your needs.

## License

Sada is licensed under the MIT License. For more information, see the [LICENSE](https://github.com/ixarmad/sada/blob/main/LICENSE) file.
func3lib 0.0.9
Three functions func3lib: 'transpose2d', 'window1d' and 'convolution2d'.
License: MIT
Requires Python: >=3.10

# func3lt package

	A package contains 3 functions:
		transpose2d
			"The function `transpose2d` takes a 2D matrix as input and returns its transpose."

		window1d
			" The function `window1d` takes an input array and creates overlapping windows of a specified size,
    		shift, and stride."

		convolution2d
			"The `convolution2d` function performs a 2D convolution operation on an input matrix using a given
    		kernel and stride."

## How to use
	Install functions module using pip:

		pip install func3lib

	After installing the package use following import:

		from func3lib import transpose2d, window1d, convolution2d
firstbatch 0.1.73
FirstBatch SDK for integrating user embeddings to your project. Add real-time personalization to your AI application without user data.
License: MIT
Requires Python: >=3.9,<3.13

# FirstBatch SDK

The FirstBatch SDK provides an interface for integrating vector databases and powering personalized AI experiences in your application.

## Key Features

- Seamlessly manage user sessions with persistent IDs or temporary sessions
- Send signal actions like likes, clicks, etc. to update user embeddings in real-time
- Fetch personalized batches of data tailored to each user's embeddings  
- Support for multiple vector database integrations: Pinecone, Weaviate, etc.
- Built-in algorithms for common personalization use cases
- Easy configuration with Python classes and environment variables

## Getting Started

### Prerequisites

- Python 3.9+
- API keys for FirstBatch and your chosen vector database

### Installation

```
pip install firstbatch
```

## Basic Usage

1. **Initialize VectorDB of your choice**
    ```python
   api_key = os.environ["PINECONE_API_KEY"]
   env = os.environ["PINECONE_ENV"]

   pinecone.init(api_key=api_key, environment=env)
   index = pinecone.Index("your_index_name")
   
   # Init FirstBatch
   config = Config(batch_size=20)
   personalized = FirstBatch(api_key=os.environ["FIRSTBATCH_API_KEY"], config=config)
   
   personalized.add_vdb("my_db", Pinecone(index, embedding_size=1536))
    ```

### Personalization

2. **Create a session with an Algorithm suiting your needs**
    ```python 
   session = personalized.session(algorithm=AlgorithmLabel.AI_AGENTS, vdbid="my_db")
    ```

3. **Make recommendations**
    ```python
   ids, batch = personalized.batch(session)
    ```
4. **Let users add signals to shape their embeddings**
   ```python
   user_pick = 0  # User liked the first content from the previous batch.
   personalized.add_signal(session, UserAction(Signal.LIKE), ids[user_pick])
   ```

## Support

For any issues or queries contact `support@firstbatch.xyz`.

  
## Resources

- [User Embedding Guide](https://firstbatch.gitbook.io/user-embeddings/)
- [SDK Documentation](https://firstbatch.gitbook.io/firstbatch-sdk/)

Feel free to dive into the technicalities and leverage FirstBatch SDK for highly personalized user experiences.