semvec/pypi-packages huggingface dataset:
dstemplatest 0.0.17
A Python package for creating project structure.


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## Overview

My Project is a Python library that provides a simple function to return a greeting message. This is a basic example to demonstrate the structure of a Python package and how to publish it on PyPI using GitHub Actions.

## Installation

You can install the library using pip:

```sh
pip install my_project
geotesting-vt 0.2.13
A brief description of your package

# UserInterface_ComputerVision_GoPro
This is collaboration with Dr. Junghwan Kim (Department of Geography@Virginia Tech) to create a user friendly desktop application that uses pre-trained Computer Vision models on geographical video files (captured by GoPro).

# Application Title: Geospatial Image on Map Viewer

[√] Extract image frames from video files

[] Run pre-trained computer vision models on image frames

[] Display the results on a map

[] User Interface

[] User Manual

[] Demo Video

[] Presentation Slides

[] Final Report
Flask-PyMemcache 0.0.8
pymemcache integration for Flask
Requires Python: >=3.7

pymemcache_ integration for Flask
=================================

.. _pymemcache: https://github.com/pinterest/pymemcache

Install
-------

Install from https://pypi.org/project/Flask-PyMemcache/

.. code:: bash

   pip install Flask-PyMemcache


Initialize
----------

::

    memcache = FlaskPyMemcache(app)

or::

    memcache = FlaskPyMemcache()
    memcache.init_app(app)


Configuration
-------------

Put kwargs for pymemcache to `PYMEMCACHE` in your Flask configuration.

::

    PYMEMCACHE = {
        'server': ('localhost', 11211),
        'connect_timeout': 1.0,
        'timeout': 0.5,
        'no_delay': True,
        'key_prefix': b'myapp-',
    }

You can use different config key with `conf_key` keyword::

    session = FlaskPyMemcache(conf_key='MEMCACHE_SESSION')
    cache = FlaskPyMemcache(conf_key='MEMCACHE_CACHE')

    session.init_app(app)
    cache.init_app(app)

In addition to normal pymemcache kwargs, Flask-PyMemcache provides following
configuration options.

* `close_on_teardown` -- Close connection to memcached when app teardown.

Use
---

::

    memcache.client.set('foo', 'bar')