semvec/pypi-packages huggingface dataset:
ignacio-bot 0.9.2
A simple Flask app that lets you talk to a custom bot.
Requires Python: >=3.11

# Ignacio Bot

A simple Flask App that uses a fine-tuned OpenAI model to let users chat with a custom bot. 
The bot is trained on interview transcripts from youtube. Additional information can be provided by editing the file system_context.txt.

To run the app, user must set **OPENAI_API_KEY** environment variable, which can be obtained from OpenAI. Please contact Arpan Seth (aseth42@gmail.com) for the correct API KEY. 

The app has been tested on M1 Macbook Air running Python version 3.11.9. 

Install the packages using:
```
pip install ignacio_bot
```

Run the app using the executable in your virtual environment:
```
./venv/bin/ignacio_bot
```

The chatbot will be availabe through a browser at the URL: http://127.0.0.1:5000/
fit-plots 0.1.0
Tool for fitting lines to data
Requires Python: >=3.7

 # fit_plots

- Fit data with a straight line chosen by clicking points on a plot.


Requires: ipympl

To use:

      import fit_plots
      %matplotlib widget
      
      fit_plots.fit_line(unique_name, xdata, ydata, yerr)

      or

      fit_plots.fit_with_background(unique_name, xdata, ydata, yerr)

where xdata, ydata and yerr are numpy arrays.


Click in the data portion of the figure to set a point for the fit line.
Whichever point you click closer to will move to the new position.

For fit_with_background, a background value can be set: choose the
background radio button, then click at the desired level of background.

Caveats:

1) if you change the unique name, the fit parameters will be lost.

2) fit parameters are stored in hidden files and won't travel if the
   notebook is renamed or moved to another directory.

3) any plots made after using one of these functions should start with
   plt.figure()
boilerdaq 2024.1.2
Data acquisition for a nucleate pool boiling experimental apparatus
Requires Python: >=3.11

# boilerdaq

[![All Contributors](https://img.shields.io/github/all-contributors/softboiler/boilerdaq?color=ee8449&style=flat-square)](#contributors)

Data acquisition for a nucleate pool boiling experimental apparatus.

## Project information

- [Changes](<https://softboiler.github.io/boilerdaq/changelog.html>)
- [Docs](<https://softboiler.github.io/boilerdaq>)
- [Contributing](<https://softboiler.github.io/boilerdaq/contributing.html>)

## Contributors

<!-- ALL-CONTRIBUTORS-LIST:START - Do not remove or modify this section -->
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<table>
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    <tr>
      <td align="center" valign="top" width="14.28%"><a href="https://www.blakenaccarato.com/"><img src="https://avatars.githubusercontent.com/u/20692450?v=4?s=100" width="100px;" alt="Blake Naccarato"/><br /><sub><b>Blake Naccarato</b></sub></a><br /><a href="#code-blakeNaccarato" title="Code">💻</a></td>
    </tr>
  </tbody>
</table>

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achaekek 0.0.12
Python library for the Manifold markets API.
Requires Python: <4.0,>=3.10

# achaekek

Manifold markets Python API

Create a new Manifold client 

```python
from achaekek import Client
client = Client(api_key="YOUR API KEY")
```

Make requests via this client

```python
new_market = CreateMultipleChoiceMarket(
        question="Will creating this test market work?",
        answers=["Yes", "No"],
    )
client.create_market(new_market)
```

Enjoy your market!