semvec/pypi-packages huggingface dataset:
scan-tagger 0.1.0
A helper script for applying metadata from Exif Notes to scans.
Requires Python: >=3.6

scan-tagger
===========

A helper script for applying metadata from [Exif Notes] to scans.

[Exif Notes]: https://play.google.com/store/apps/details?id=com.tommihirvonen.exifnotes&hl=en_US&gl=US

## Introduction

Exif Notes is a great way to track your film shots and apply that metadata to
the digitized files.  However, I always need to do some manipulation of the
scripts it produces before I can actually run them.  `scan-tagger` is a tool to
help automate those changes.

## Installation

Coming soon!

## Usage

In its simplest form, you can just run `scan-tagger` against your Exif Notes
script and provide a starting filename:

    [$]> scan-tagger Arista.EDU\ ULTRA\ 100_ExifToolCmds.txt 000010460001.jpg

This will perform a few basic adjustments on the file, and then update the
filenames to `000010460001.jpg`, `000010460002.jpg`, etc.

For more advanced usage, pass the `-i` option to enter interactive mode.  This
provides a small line-by-line interface modelled after `git add -p` that allows
more control over the process.
charta 0.0a7
A package for building realtime dashboards. Originally designed for monitoring the progress of optimization problems.
Requires Python: >=3.6

# charta

A package for building realtime dashboards. Originally designed for monitoring the progress of optimization problems.

## Installation
charta is available on PyPi. You can

```
pip install charta
```

## Quickstart
Run the server in the terminal with:
```
charta-server
```

Then open your browser to [localhost:8889](http://localhost:8889/).
The following code should draw a sine wave to the dashboard.

```python
import numpy as np
from charta import Dashboard, Series, Chart

# Create some data.
x = np.linspace(0, np.pi)
y = np.sin(x)

# Get a reference to the dashboard.
dash = Dashboard.default()

# Add data to the dashboard.
dash.add_series(Series("x", x))
dash.add_series(Series("y", y))
dash.add_chart(Chart("chart", ["x", "y"]))
```