semvec/pypi-packages huggingface dataset:
weatherlab 0.1.0
Simple poker game in pure python
Keywords: Poker

# WeatherLab

An IPython kernel extension to interact with WeatherLab JupyterLab extension to check weather conditions with data from OpenWeatherMap.

![WeatherLab](https://gitlab.com/zodiacfireworks/weatherlab/-/raw/master/weatherlab.gif 'WeatherLab')

## Requirements

- weatherlab >= 0.2.0
- ipython >= 7.13.0

## Install

```bash
pip install weatherlab
jupyter labextension install weatherlab
```

## Usage

This package can be loades using the following command

```
%load_ext weatherlab
```

You can access to the data fetched by WeaterLab extension using the magic line

```
%weather_lab_data
```

or accessing directy to the variable

```
WEATHER_LAB_DATA
```

## Contributing

### Install

```bash
# Clone the repo to your local environment
# Move to weatherlab directory
# Install dependencies
poetry install
# Link your development version of the extension with JupyterLab
poetry run pip install -e .
# Launch jupyter and start making changes
jupyter lab
```
dj-fine-search 0.0.4
A key word based queryset search for django
Requires Python: >=3.5


# Django Fine Search

https://github.com/bellomusodiq/dj-fine-search

https://pypi.org/project/dj-fine-search/


Django fine search is package that performs search based on keywords. It allows word flexibility
for performing filter in a queryset. 
e.g. The native Model.object.filter(title__icontains='hello world') will return queryset of 
objects that contains substring "hello world", if the "world" comes before the "hello", the 
objects would not be found. Django fine search improves that, Django fine search will include
all objects that has substring "hello world".

```
class MyModel(models.Model):    
    title = models.Charfield(max_length=200)
    text = models.TextField()
    ...
```



perform_search takes in the model, search_text and fields

model: Model class, the model to perform filter on

search_text: string, the query that will be used for the filtering

fields: list or tuple of the fields of the models that the search will be performed on e.g. title and text above

perform_search function returns a list of model objects

~~~
>> pip install dj-fine-search
~~~

```
from fine_search.fine_search import perform_search
# model based search
queryset = perform_search(model=MyModel, search_text='hello world', fields=["title", "text"])
```

~~~
# assume we have the queryset below are result of MyModel.objects.all()
queryset = [{"id": 1, "title": "some title", "text": "hello world, how are you"},
            {"id": 2, "title": "some title2", "text": "the world is good"}, 
            {"id": 3, "title": "some title3", "text": "world hello there, hello"}] 
# if we run perform_search on the MyModel with search_text='hello world' and fields=['title', 'fields']

# it will return all the queries
~~~

it is also possible to perform search on queryset. e.g. queryset that has been filter initialy

~~~
from fine_search.fine_search import perform_search_queryset

q = MyModel.objects.all()

queryset = perform_serach_queryset(queryset=q, search_text='hello world', fields=["title", "text"])
~~~
diffxpy 0.7.4
Fast and scalable differential expression analysis on single-cell RNA-seq data

|PyPI| |Docs|

.. |PyPI| image:: https://img.shields.io/pypi/v/diffxpy.svg
   :target: https://pypi.org/project/diffxpy
.. |Docs| image:: https://readthedocs.com/projects/diffxpy/badge/?version=latest
   :target: https://diffxpy.readthedocs.io

Fast and scalable differential expression analysis on single-cell RNA-seq data
==============================================================================

diffxpy covers a wide range of differential expression analysis scenarios encountered in single-cell RNA-seq scenarios
and integrates into scanpy_ workflows.
Import diffxpy as `import diffxpy.api as de` to access the following differential expression analysis-related tools:

1. **differential expression analysis** in the module `de.test.*`
2. **gene set enrichment analysis** based on differential expression calls in the module  `de.enrich.*`

Refer to the documentation_ and the tutorials_ for details of these modules.

.. _scanpy: https://github.com/theislab/scanpy
.. _documentation: https://diffxpy.rtfd.io/en/latest
.. _tutorials: https://diffxpy.rtfd.io/en/latest/tutorials.html
microdaemon 0.1.5
A small framework for python services

Microdaemon
===========

Framework for python services.

Microdaemon  is a  python library  providing bricks  to build  little,
modular daemons with multithreading logic.

Features:

* easy daemonize function;
* enhanced json configuration syntax;
* threading support:
  * channels for threading communication;
  * advanced threading logic;
* wsgi interface support, with predefined pages for rapid development.