semvec/pypi-packages huggingface dataset:
bank-statement-reader 0.1.2
Reading and converting PDF bank reports
License: MIT
Requires Python: >=3.6

# Description
This script allows to read PDF bank statements from the [GLS Bank](https://www.gls.de/).
Even so, the banks online manager supports exporting of CSV files, this works only for the past three month whereas PDF
account statements are kept for at least two years.

So if, you forced to automatically analyse past bank transactions, this script will help you.

The tool also supports reading the CSV files (which include more information), so you can analyse them.

I also tested it with Banking records from the [Triodos Bank](https://www.triodos.de/)
and it works well. They both using the same banking system, so maybe also other
"Volksbank" or "Raiffeisenbank" work as well. Write me an issue

I tested it with the following Banking records so far:
* GLS 2014-2020
* Triodos 2020

# Dependencies
* `python >= 3.6`
* `pdftotext`(part of [poppler-utils](https://poppler.freedesktop.org/))
* `jupyter-notebook` [Optional]


# Installation


## Variant One
 Install using `pip install bank-statement-reader`

Advantage:
 * Easy to install

Disadvantage:
 * some features like the `booking/personal.py` file depend on modifying the package
   the package source before installing, which won't work using this
   method

## Variant Two
Clone the repro locally, create and activate a new virtual environment
and run `pip install -e .` within the project folder.

# Usage

After installation, you have a new command `statement2csv` available.
```
usage: statement2csv [-h] [--out out.csv] statement.pdf [statement.pdf ...]

Convert banking statements (PDF & CSV) to an analysed standard csv form.

positional arguments:
  statement.pdf  files to open and convert

optional arguments:
  -h, --help     show this help message and exit
  --out out.csv  csv file to write the results to

        If no filename is given, the file will be saved to
            basename_first_file_%date_string%.csv.
        %date_string% will be always replaced to 'YYYY-mm-dd_to_YYYY-mm-dd'
                                                 start date  to   end date
```

Another way to use the project is to use  `jupyter-notebook` for fast analysing data.
See `example.ipynb` for an idea how to use it.

# Data Protection Note
As bank statement data is highly sensitive, only very general rules for categorizing were pushed to this git.

Use `src/bank_statement_reader/bookings/personal.py` for customizations of categories and payees.
You only to create this file with a content like the following, and it will be used automatically.

```python
from bank_statement_reader.booking.booking_base import BookingBase

class Booking(BookingBase):
    def _set_payee(self, value: str):
        """your custom functions here"""
        super()._set_payee(value)

    def _get_category(self):
        """your custom stuff here"""
        return super()._get_category()
```
gpx-linesman 0.3.0
Command line tool for measuring the straightness of a gpx track
License: MIT
Requires Python: >=3.6,<4.0

# linesman
[![test coverage](https://coveralls.io/repos/github/burrscurr/linesman/badge.svg)](https://coveralls.io/github/burrscurr/linesman)
[![Documentation Status](https://readthedocs.org/projects/linesman/badge/?version=latest)](https://linesman.readthedocs.io/en/latest/?badge=latest)

`linesman` is a small python command line tool calculating quality measures for
the straightness of a gpx track. The project is inspired by the "I attempted to
cross \<country\> in a completely straight line" series of youtuber
[GeoWizard](https://www.youtube.com/channel/UCW5OrUZ4SeUYkUg1XqcjFYA).

## Installation

As a [python](https://python.org) package, `linesman` is installed [with
pip](https://datatofish.com/install-package-python-using-pip/). The
package is named `gpx-linesman`:

```
pip install gpx-linesman
```

After installing the package, you should be able to run linesman:

```
linesman --help
```

## Usage

`linesman` must be passed a gpx file with the recorded track and a quality
measure that shall be used to compare the gpx track against the reference line:

```
linesman path/to/file.gpx <measure>
```

Currently, the following quality measures are implemented:

 - `MAX`: maximum deviation from the reference line in meters
 - `AVG`: average deviation in meters
 - `SQ-AVG`: squared deviation average in meters

## Development

Python dependencies are managed with poetry and can be installed from
`poetry.lock` by running:

```
poetry install
```

Then, the CLI tool can be started with `poetry run linesman`. Run tests with
`poetry run pytest`.

## Documentation

Conceptual documentation can be found on [readthedocs](https://linesman.readthedocs.io).
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workbench-crm 0.0.20210124
Django-based Agency Software (time tracking, project management, addressbook, offering and invoicing)
License: MIT
Requires Python: >=3.8

=========
Workbench
=========

.. image:: https://travis-ci.org/matthiask/workbench.svg?branch=main
    :target: https://travis-ci.org/matthiask/workbench

Recommended contents of ``.env`` (add some random value for
``SECRET_KEY`` and copy the ``OAUTH2_CLIENT_*`` values from the ``.env``
file on the production server)::

    DATABASE_URL=postgres://localhost:5432/workbench
    CACHE_URL=hiredis://localhost:6379/1/?key_prefix=workbench
    SECRET_KEY=...
    SENTRY_DSN=
    ALLOWED_HOSTS=["*"]
    DEBUG=True
    NAMESPACE=feinheit
    OAUTH2_CLIENT_ID=...
    OAUTH2_CLIENT_SECRET=...

Local setup::

    fab setup
    fab pull_db:fh

Development::

    fab dev

Code style & prettification::

    tox
    yarn prettier
    yarn eslint

Compile the bootstrap library::

    yarn build-bootstrap