semvec/pypi-packages huggingface dataset:
SQUIC 1.0.0
SQUIC is a second-order, L1-regularized maximum likelihood method for performant large-scale sparse precision matrix estimation. This repository contains the source code for the Python interface of SQUIC.
Requires Python: >=3.6

# SQUIC Python3 Interface Package

SQUIC is a second-order, L1-regularized maximum likelihood method for performant large-scale sparse precision matrix estimation. This repository contains the source code for the Python(v3) interface of SQUIC. 

## Installation

#### Step 1: 
Download the shared library libSQUIC from www.gitlab.ci.inf.usi.ch/SQUIC/libSQUIC, and follow its README instructions. The default and recommended location for libSQUIC is the home directory, i.e., ``~/``.

#### Step 2: 
Run the following command to install the library:
```angular2
pip install SQUIC
```
#### Step 3: 
Load the SQUIC package:
```angular2
import SQUIC
```
For further details type ``help(SQUIC)`` in the Python command line.

_Note: The number of threads used by SQUIC can be defined by setting the enviroment variable OMP_NUM_THREADS (e.g., ``base> export OMP_NUM_THREADS=12``). This may require a restart of the session)._

## Example

To run a simple example : 

```angular2
import SQUIC 
import numpy as np

# set location of libSQUIC (set after importing package)
SQUIC.PATH_TO_libSQUIC('/path/to/squic')

# generate sample from tridiagonal precision matrix
p = 1024
n = 100
l = .4

# generate a tridiagonal matrix
a = -0.5 * np.ones(p-1)
b = 1.25 * np.ones(p)
iC_star = np.diag(a,-1) + np.diag(b,0) + np.diag(a,1)

# generate the data
L = np.linalg.cholesky(iC_star)
Y = np.linalg.solve(L.T,np.random.randn(p,n))

[X,W,info_times,info_objective,info_logdetX,info_trSX] = SQUIC.run(Y,l)
```
latestnews-kemendikbud 0.0.3
this package will get the latest news from Indonesian Ministry of Education and Culture (Kemdikbud)
Requires Python: >=3.6

# Latest Kemendikbud News
this package will get the latest news from Indonesian Ministry of Education and Culture (Kemdikbud)

## How it Work?
This package will scrape from [Kemendikbud](https://kemendikbud.go.id) to get latest news from kemendikbud website
This package will use BeautifulSoup4 and Requests, to produce output in the form of JSON that is ready to be used in web or mobile applications

##How to Use?
```
import beritaterkini

if __name__ == '__main__':
    print('Aplikasi Utama')
    result = beritaterkini.ekstraksi_data()
    beritaterkini.tampilkan_hasil(result)
```

## Author
Irfan Basyar