semvec/pypi-packages huggingface dataset:
noted-app 0.1.0
A simple terminal app that manages your notes.
Requires Python: >=3.8

# Noted

> [!Warning]
> This app is under development! Make any suggestions and commplaints in our [GitHub Issues](https://github.com/joaoreboucas1/noted/issues).

A terminal app for managing some notes.

## Installation

Install `noted` using `pip`

```console
pip install noted-app
```

## Usage

The first step is to setup your config profile: the path to the notes repository, the name of the notes file, the editor you want to use and the repo's remote URL. Edit your profile with

```console
noted --config
```

This will create a `.notedrc` file in your home directory with the config parameters to be used by the program. An example of `.notedrc` is

```
editor=code
repo_path=/home/user/.notes
files={"default": "todo.md", "read": "reading-list.md"}
origin=
```

The options are:
- `editor`: the editor to open the files
- `repo_path`: a directory to store the files
- `files`: a list of commands to open different files. `"default"` refers to the file opened with the command `noted`; in the example above, the command `noted read` opens the file `reading-list.md`
- `origin` (optional): set an SSH or HTTPS origin for the repository. Every time you open a file with noted, it first performs a `git pull`. The command `noted --save` commits and, if `origin` is set, pushes the current version.

After configuring your options, you can open your notes with

```console
noted
```

After editing your notes, you can save them with

```console
noted --save
```

This command commits any changes to the repository and, if an origin is set in `.notedrc`, it pushes the changes to the origin.
vettavista-backend 0.0.4
Backend for VettaVista - Smart Job Search & Application Assistant
Requires Python: >=3.9

# VettaVista Backend

Local Python server that powers VettaVista's AI-driven job search and application enhancement features.

## Overview

This backend component of VettaVista provides:
- Two-stage job filtering logic
- AI integration with Claude
- Resume and cover letter customization
- Data storage and management
- Local API endpoints for frontend communication

## Development

### Requirements
- Python 3.9+
- `pip` or Poetry for dependency management

### Setup

```bash
# Install with Poetry
poetry install

# Or with pip
pip install -e .

# Run development server
python modules/server.py

# Build package
python -m build
```
alpaqa 1.1.0a1
Augmented Lagrangian and PANOC solvers for nonconvex numerical optimization.
Requires Python: >=3.9
Keywords: optimization, panoc, alm, mpc

alpaqa
======

``alpaqa`` is an efficient implementation of an augmented Lagrangian method for
general nonlinear programming problems, which uses the first-order, matrix-free
PANOC algorithm as an inner solver.
The numerical algorithms themselves are implemented in C++ for optimal
performance, and they are exposed as an easy-to-use Python package. An
experimental MATLAB interface is available as well.

The solvers in this library solve minimization problems of the following form:

.. math::

    \begin{aligned}
        & \underset{x}{\textbf{minimize}}
        & & f(x) &&&& f : {{\rm I\mathchoice{\hspace{-2pt}}{\hspace{-2pt}}{\hspace{-1.75pt}}{\hspace{-1.7pt}}R}}^n \rightarrow {{\rm I\mathchoice{\hspace{-2pt}}{\hspace{-2pt}}{\hspace{-1.75pt}}{\hspace{-1.7pt}}R}} \\
        & \textbf{subject to}
        & & \underline{x} \le x \le \overline{x} \\
        &&& \underline{z} \le g(x) \le \overline{z} &&&& g : {{\rm I\mathchoice{\hspace{-2pt}}{\hspace{-2pt}}{\hspace{-1.75pt}}{\hspace{-1.7pt}}R}}^n \rightarrow {{\rm I\mathchoice{\hspace{-2pt}}{\hspace{-2pt}}{\hspace{-1.75pt}}{\hspace{-1.7pt}}R}}^m
    \end{aligned}

Documentation
-------------

- `Documentation (Sphinx) <https://kul-optec.github.io/alpaqa/1.1.0a1/Sphinx/index.html>`_
- `Python examples <https://kul-optec.github.io/alpaqa/1.1.0a1/Sphinx/examples/index.html>`_
- `Documentation (Doxygen) <https://kul-optec.github.io/alpaqa/1.1.0a1/Doxygen/index.html>`_
- `C++ examples <https://kul-optec.github.io/alpaqa/1.1.0a1/Doxygen/examples.html>`_
- `Matlab documentation <https://kul-optec.github.io/alpaqa/1.1.0a1/Sphinx/reference/matlab-api.html>`_

Installation
------------

The Python interface can be installed directly from PyPI:

.. code-block:: sh

    python3 -m pip install --upgrade --pre alpaqa

For more information, please see the full
`installation instructions <https://kul-optec.github.io/alpaqa/1.1.0a1/Sphinx/install/installation.html>`_.

Publications
------------

- `P. Pas, M. Schuurmans, and P. Patrinos, “Alpaqa: A matrix-free solver for nonlinear MPC and large-scale nonconvex optimization,” 20th European Control Conference (ECC), Jul. 2022 (arXiv) <https://arxiv.org/abs/2112.02370>`_
spotflow-device 2.1.1
Device SDK for Spotflow IoT Platform
Requires Python: >=3.7
Keywords: spotflow, iot, device, sdk

# Device SDK for Spotflow IoT Platform

This package contains the Python Device SDK for the Spotflow IoT Platform.
More information:

- [Python interface documentation](https://docs.iot.spotflow.io/device-sdk/python/)
- [Spotflow IoT Platform documentation](https://docs.iot.spotflow.io)
- [Spotflow IoT Platform homepage](https://iot.spotflow.io/platform)