semvec/pypi-packages huggingface dataset:
vgmusic 1.0.2
Unofficial Python API for vgmusic.com.
Requires Python: >=3.6

# vgmusic.py

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(unofficial) Python API for [VGMusic](https://vgmusic.com).
This project is in no way affiliated with or sponsered by Mike Newman or any of the staff at VGMusic.

## Caches

vgmusic.py relies heavily on caches to avoid downloading VGMusic pages repeatedly; the CLI auto-caches for you into a `cache.json` file.

An example of a cache file is at the root of this repo; it is a pre-parsed full dump of info
(direct links, authors, etc.) on all the songs currently on VGMusic.
It weighs in at 8.5 MB as JSON (6 MB without indentation).

## Usage

Thoughout these examples, we will be using the `API` object as the api:

```python
import vgmusic

api = vgmusic.API()
```

It is recommended to close it once you are done:

```python
# do something here...
api.close()
```

The best way is to use a [context manager](https://www.python.org/dev/peps/pep-0343/), a.k.a `with` statement:

```python
with vgmusic.API() as api:
    # do something here
```

Note that the API is lazy: It will only retrieve data for a console/system the first time it is queried for it.
To override this behaviour, use `force_cache` (see [Module Documentation](#module-documentation)).

## Module Documentation

See [API.md](API.md).

## CLI

The command-line interface can be used to download MIDI files concurrently (useful for scripting).

Make sure to install the CLI extra first:

```
pip install vgmusic[cli]
```

For more info on how to use the cli, run `vgmusic --help`.

## REST

Install the rest extension:

```
pip install vgmusic[rest]
```

and start the server with `python3 -m vgmusic.rest`.

For docs, visit [here](http://localhost:8000/docs) once you've started the server.

## License
MIT.
scierror 0.0.3
Laboratory report tools in Python.

# SciError
Laboratory report tools in Python.

<i>Lab reports just got a whole lot easier.</i>

A package for automatic measurement error propagation and linear regressions. Stores measurements and their corresponding uncertainties in a Measurement class which can be propagated using the defined methods. CSV files can be read using the DataFile class and sets of data can be linearly regressed using the LinearRegression class. The latex table function is also useful for quickly transferring data into a preformatted latex table which can be copied into a report.