semvec/pypi-packages huggingface dataset:
dtool-irods 0.10.1
Add iRODS support to dtool
License: MIT

Add iRODS support to dtool
==========================

.. image:: https://badge.fury.io/py/dtool-irods.svg
   :target: http://badge.fury.io/py/dtool-irods
   :alt: PyPi package

- GitHub: https://github.com/jic-dtool/dtool-irods
- PyPI: https://pypi.python.org/pypi/dtool-irods
- Free software: MIT License


Features
--------

- Copy datasets to and from iRODS
- List all the datasets in an iRODS zone
- Create datasets directly in iRODS

Installation
------------

To install the dtool-irods package.

.. code-block:: bash

    pip install dtool-irods


Usage
-----

To copy a dataset from local disk (``my-dataset``) to an iRODS zone
(``/data_raw``) one can use the command below.

.. code-block::

    dtool copy ./my-dataset /data_raw irods

To list all the datasets in an iRODS zone one can use the command below.

.. code-block::

    dtool ls /data_raw irods

See the `dtool documentation <http://dtool.readthedocs.io>`_ for more detail.


Related packages
----------------

- `dtoolcore <https://github.com/jic-dtool/dtoolcore>`_
- `dtool-cli <https://github.com/jic-dtool/dtool-cli>`_
- `dtool-symlink <https://github.com/jic-dtool/dtool-symlink>`_
garfetch 0.2.0
Unofficial gocomics library
License: MIT
Requires Python: >=3.6,<4.0

# garfetch

Python 3 library to fetch comic images from gocomics.com.

## Installation

### PyPI

This package is available on PyPI as `garfetch`.

### Building

This project uses [poetry](https://python-poetry.org/), and the recommended way of building it is running `poetry build` on the root of this repository.

## Usage

### Get comic URL

`garfetch.fetch_url(comic, datestr)` can be used to fetch comic URL for a given comic on a given day. Comic slug can be extracted from a gocomics URL. Date format is `YYYY-MM-DD` or `YYYY/MM/DD`.

```python
import garfetch

print(garfetch.fetch_url("garfield", "1990-05-30"))
# 'https://assets.amuniversal.com/7e81c7c05d1a012ee3bd00163e41dd5b'
```

A non-existant comic or a server error will currently throw an AssertionError. This behavior may be changed in the future.

### Get comic calendar

`garfetch.fetch_calendar(comic, datestr)` can be used to fetch a list of comics available on a given month. Comic slug can be extracted from a gocomics URL. Date input format is `YYYY-MM` or `YYYY/MM`. Date output format is a list of `YYYY/MM/DD`s.

```python
import garfetch

print(repr(garfetch.fetch_calendar("garfield-classics", "2020-07")))
# ['2020/07/01', '2020/07/02', '2020/07/03', '2020/07/04', '2020/07/05', '2020/07/06', '2020/07/07', '2020/07/08', '2020/07/09', '2020/07/10', '2020/07/11', '2020/07/12', '2020/07/13', '2020/07/14', '2020/07/15', '2020/07/16', '2020/07/17', '2020/07/18', '2020/07/19', '2020/07/20', '2020/07/21', '2020/07/22', '2020/07/23', '2020/07/24', '2020/07/25', '2020/07/26', '2020/07/27', '2020/07/28', '2020/07/29', '2020/07/30', '2020/07/31']

print(repr(garfetch.fetch_calendar("garfield-classics", "2019-01")))
# ['2019/01/07', '2019/01/08', '2019/01/09', '2019/01/10', '2019/01/11', '2019/01/12', '2019/01/13', '2019/01/14', '2019/01/15', '2019/01/16', '2019/01/17', '2019/01/18', '2019/01/19', '2019/01/20', '2019/01/21', '2019/01/22', '2019/01/23', '2019/01/24', '2019/01/25', '2019/01/26', '2019/01/27', '2019/01/28', '2019/01/29', '2019/01/30', '2019/01/31']
```

A non-existant comic or a server error will currently throw an AssertionError. This behavior may be changed in the future.
pydango-pip 1.0.2
Pip installable database schema that attempts to mimic the Fandango database
License: MIT

# PYDANGO-PIP

pydango-pip is a pip-installable database schema that aims to mimic a movie ticket reservation database system (i.e. Fandango).  It's important to note that the database represented by the package is only what I think such a system should look like, not what it actually is.

This was done in the spirit of experimentation and learning as a beginner Python programmer.

The inspiration came from a YouTube video by Mike Kennedy where he build an Air Bnb-like CLI for MongoDB with MongoEngine. I've taken a lot of his code and refactored it for SQLAlchemy and relational databases.  You can find the video here: https://youtu.be/E-1xI85Zog8

You can also find the non-pip-installable version of Pydango called simply "Pydango" here: https://github.com/Captmoonshot/pydango

The regular version of Pydango is good to clone.  Once you clone it, and set up a configuration file, you can use it for both an SQLite and/or PostgreSQL database backend.

However, pydango-pip will only work with SQLite database backends.

## Installation

You can install pydango-pip with pip: [PYPI](https://pypi.org/project/pydango-pip/)

    pip install pydango-pip

pydango-pip is supported by Python 3.7 and above.

## How to use

pydango-pip is a command line application. 

To run:

```$ python -m pydango -d sqlite```

****************** PYDANGO ******************

Welcome to Pydango for movies!
What would you like to do?

[t] List a new movie
[c] Find a movie

`# Choose [C]`

****************** Hello Cinephile ******************

What action would you like to take:
[C]reate an account
[L]ogin to your account
Log[O]ut of your account
[R]eserve a movie ticket
[V]iew your movie ticket
[S]ee list of available movies
Search for [N]earby theaters
Search by ca[T]egory
[M]ain menu
e[X]it app
[?] Help (this info)

`# Choose [S]`

****************** BROWSE FOR MOVIES ******************


Title: Pulp Fiction | Rating: R
            Description: Boxing, Robbery, Hitmen, Samuel L. Jackson

Title: Jurassic Park | Rating: PG-13
            Description: Dinosaurs, DNA, T-Rex, Velociraptor, Chaos

Title: A Clockwork Orange | Rating: R
            Description: Crazy, Crime, Future, Dystopian

Title: Aliens | Rating: R
            Description: Aliens, Eat People, Spaceship, Future

Title: Interstellar | Rating: PG-13
            Description: Apocalypse, Black Hole, Time Travel, Astronauts

--More--<ENTER>

Personally, building the project allowed me to appreciate what database engineers do for a living, and also to grokk database designs and just how complicated relational databases can get in the wild.

Special shoutout to the [Las Vegas OpenSource Programming Group](https://github.com/OpenSource-Programming/sqlforbeginners) fro challenging me to take on this project.


For help:

`$ python -m pydango -h`