semvec/pypi-packages huggingface dataset:
lindle 1.0.0
Lindle Python API saving tool to keep all your links all in one place
License: MIT
Requires Python: >=3.6
Keywords: lindle links bookmarks

# Lindle Py
Lindle is your ultimate solution for managing and organizing your web links with ease. This versatile Chrome extension empowers you to save, categorize, and access your online resources like never before.

<a href="https://www.buymeacoffee.com/m2kdevelopments" target="_blank">
<img src="https://cdn.buymeacoffee.com/buttons/v2/default-yellow.png" alt="Buy Me A Coffee" style="height: 60px !important;width: 217px !important;" />
</a>

<a href="https://play.google.com/store/apps/details?id=com.m2kdevelopments.lindle" target="_blank">
    <img src="./googleplay.png" alt="Google Play" style="height: 85px !important" />
</a>
<a href="https://chrome.google.com/webstore/detail/igkkojjaikfmiibedalhgmfnjohlhmaj" target="_blank">
    <img src="./chromestore.png" alt="Chrome Store" style="height: 85px !important" />
</a>


## API Documentation
The <a href="https://lindle.me/api-docs">API Documentation</a> for Lindle.


## Installation
```
pip install lindle
```
or 
```
pip3 install lindle
```

## Getting Started
Get your Lindle API key from <a href="https://chrome.google.com/webstore/detail/igkkojjaikfmiibedalhgmfnjohlhmaj">Chrome Extension</a>.
<br/>
<img src="./api.png" alt="Chrome Extension" style="height: 400px !important" />

```
import lindle
apiKey = "YOUR_API";
lindle = Lindle(apiKey)
```

## Get Links
```
links = lindle.get_links()
print(links)
```


## Get Folders
```
folders = lindle.get_folders()
print(folders)
```

## Get Synced Bookmarks
```
data = lindle.get_synced_bookmarks()
print(data.folders)
print(data.links)
```


Change Log
===============================================

1.0.0 (15/02/2023) 
-----------------------------
- Initial version
localagi 1.1.0
Experience local Artificial General Intelligence.
License: MIT
Requires Python: >=3.9

Local AGI (Artificial General Intelligence)
===========================================

Welcome to the Local AGI package! This is a fun project that simulates an Artificial General
Intelligence (AGI) running locally on your machine.

What is AGI?
------------

AGI is a type of artificial intelligence that has the ability to understand, learn, adapt, and
implement knowledge in a wide range of tasks, much like a human being. It's the holy grail of AI
research, aiming to create a machine with the ability to perform any intellectual task that a human
being can do.

Running localagi
----------------

Import the package through `pip install localagi`, and run it directly from the terminal by typing
`localagi`:

```
    pip install localagi

    localagi
```

Enjoy your journey with Local AGI!

Running through the terminal is the intended way to use Local AGI, but you can also use the Python
API as such:

```python
    import localagi

    localagi.load()

    question = "What is the meaning of life?"
    response = localagi.prompt(question)
```
cw2 2.5.1
A reengineered framework to run experiments on a computing cluster.
License: MIT
Requires Python: >=3
Keywords: scientific,experiments,distributed computing,mpi,research

# cw2 - ClusterWork 2

[![Upload Python Package](https://github.com/ALRhub/cw2/actions/workflows/python-publish.yml/badge.svg)](https://github.com/ALRhub/cw2/actions/workflows/python-publish.yml)

ClusterWork 2 is a python framework to manage experiments using YAML config files. It also enables users to easily deploy multiple experiments using different configurations on computing clusters, which support the [slurm workload manager](https://slurm.schedmd.com/documentation.html).

## Installation
```bash
pip install cw2
```

## Quickstart
Please refer to the [Quickstart Guide](doc/01_quickstart.md).

## Program Execution
To start an experiment locally, e.g. for testing:
```bash
python3 YOUR_MAIN.py YOUR_CONFIG.yml
```

To start an experiment on a slurm cluster:
```bash
python3 YOUR_MAIN.py YOUR_CONFIG.yml -s
```