semvec/pypi-packages huggingface dataset:
cache-function-deepakmishra 0.0.3
A small decorator which helps cache a result of a function

# Cache Function

You can use this python decorator
[Github-flavored Markdown](https://github.com/deepakmishra/cache_function/)
to cache a result of a function.

## Installation
pip install -i https://test.pypi.org/simple/ cache-function-deepakmishra

## Usage

### Production Setting
```python
from cache_function import cache_function
cache_function.cache = **your cache object which has get and set functions**
```

### Development Setting
```python
from cache_function import cache_function, test_cache_function
cache_function.cache = test_cache_function.DummyCache()
```

### Usage: Cache a function result
```python
from cache_function.cache_function import cache_function

@cache_function(expiry=30) # time in seconds
def foo(a, b, c):
    return a + b + c
```
SRPAstro.GW 1.8.4
Tools for handling GW EM transient search under SRP
Keywords: astronomy data analysis

# Swift Reduction Package

Background
The Swift Reduction Package (hereafter SRP) is a packet of command line tools to solve problems (e.g. basic reduction and analysis tasks of optical/NIR astronomical data, quick cosmological computations, units conversions, etc.) often met in astronomical research activities.

SRP was originally developed in the context of the Swift follow-up activities of the Milan GRB team at the INAF/Brera Astronomical Observatory. The package is designed to be an aid to any researcher to drive further observation of a followed-up GRB counterpart and “swift” can therefore be read simply as “rapid”, “agile”, etc.
 
 This subpackage if the SRP suite is devoted to the identification of transient sources in wide-field surveyes.
more 0.0.1b14
A helper library for Pandas, Visualizations and Scikit-learn

# "More" Package

This is a helper package for a variety of functions as described in the Overview section below. 

# Installation

* For standard installation 
```
pip install more 
```
* For installing a particular version
```
pip install more==0.0.1b14
```

# Overview

This is a helper package for a variety of functions
1. Extension for Pandas Dataframe (Beta version released)
2. Extension for Visualization (Beta version released)
3. Extension for Scikit-learn (Beta version released)

# Examples
Check out the  [examples](https://github.com/ngupta23/more/tree/master/examples) folder for details on usage

# Version History

## 0.0.1b14

* Added more helper functions for pandas
* Made files PEP8 compliant

## 0.0.1b13

* Added Hyperoptimization helper class (using hyperopt library)
* Added ability to do hyperparameter optimization in Cluster Helper Class
* Updated heatmap method name in cluster helper from plot_heatmap to plot_means_heatmap


## 0.0.1b12

* Add functions for plotting elbow curves. 
    - Code modified from: https://github.com/reiinakano/scikit-plot
    - Modifications made to support running for Hierarchical Clustering as well as support for plotting Silhoutte Score 
* typo fixed in function name

## 0.0.1b10 & 0.0.1b11

* Updated Visualization Helper to add function to plot Heatmap
* Updated BaseClusterWithN to allow plotting of heatmap showing how "cluster feature means" vary between clusters
* 0.0.1b11 included a small bug fix in 0.0.1b10

## 0.0.1b9

* Updated KMeans and Agglomerative Cluster Helpers to include evaluate_by argument


## 0.0.1b8

* Added Cluster Helpers for KMeans and Agglomerative Clustering

## 0.0.1b7

* Added Cluster Helper for Gaussian Clusters
* Fixed Bug for plot_parallel_coordinates where it was not working correctly for a multi-level categorical label
* Fixed bug for pandas helper for describing categorical and numeric fields - Now it gives a warning if the dataframe does not have any categorical or numeric field when those respective describe functions are called.