semvec/pypi-packages huggingface dataset:
usual 0.2.1
Save all your repeated imports and their configurations at one place
Requires Python: >=3.6

Put all your repeated imports at one place and load them with one import.

Installation:
```bash
pip install usual
```

Usage:
```python
from usual.ds import *

# now you can use pandas as it's loaded from the 'usual' package
pd.DataFrame()
```
```
loading C:\Users\israelil\Downloads\my_things\pypi\usual\src\usual\ds.py (you can change it!)
setting pandas defaults
done
```

There is also usual.basic and you can add more as you wish

Note that this is not a good practice for projects, just for small local scripts...
marclite 0.1
A Python library for sifting MARC data
Requires Python: >=3.8

# Marclite

Marclite is a Python library for sifting MARC (MAchine Readable Cataloging)
records. It offers a simple and flexible way to extract data from records
that meet criteria.

## General

```
marclite.select(statement)
```

Sets the scheme used to parse records.

**statement** (*str*): field-expr [condition-expr]
: field-expr indicates the (sub)fields whose values will be
extracted.
: condition-expr, if given, indicates the condition or conditions that
(sub)fields must satisfy to be selected.

Returns True if the parameter is a valid statement and False otherwise.

```
marcpick.marc(source)
```

Parses records and extracts data based on specific criteria.

**source** (*str* | *TextIO*): one or more MARC records

Returns a generator that can be iterated over to obtain the extracted data.

## Installation

```
$ pip install marclite
```

## Usage

```
>>> from marclite import MarcLite
>>> marclite = MarcLite()
>>> # The wildcard @ (at sign) represents any single character in tags,
>>> # indicators and subfield codes.
>>> statement = 'LDR 010a 200a 210d (200@@a\(?i\)java & !200@@a\(?i\)script) | 606@@a^JAVA'
>>> marclite.select(statement)
True
>>> with open('test.mrc', encoding='UTF-8') as fr:
...     data = marclite.marc(fr)
...     next(data)
```