semvec/pypi-packages huggingface dataset:
getANS 0.9.2
Retrieving Data from ANS with Python
Requires Python: >=3.10

# getANS

[![GitHub license](https://img.shields.io/github/license/essb-mt-section/getANS)](https://github.com/lindemann09/PyNSN/blob/master/LICENSE)
[![PyPI](https://img.shields.io/pypi/v/pynsn?style=flat)](https://pypi.org/project/getANS/)


Retrieving Data from ANS with Python

Released under the MIT License

Oliver Lindemann, Erasmus University Rotterdam, NL

-- 

## Installing via `pip`

```
python -m pip install getans
```

---

## Dependencies

Python 3.10 and the following libraries:
* pandas (>=2.2)
* appdirs (>=1.4)
* requests (>=2.32)

---

## getANS Command line interface

call: `python -m getANS`

```
usage: getANS [-h] [--usage] [--token] [--new [DATABASE_NAME]] [--exercises] [--results] [--submissions] [--courses] [--grades] [--assignments]
                  [--file [EXCEL_FILE]]
                  [DATABASE]

Retrieving Data from ANS.

positional arguments:
  DATABASE              database file

options:
  -h, --help            show this help message and exit
  --usage               show typical workflow
  --token               setting access token

Retrieve / Download:
  --new [DATABASE_NAME], -n [DATABASE_NAME]
                        initiate new database
  --results             retrieve results
  --exercises           retrieve exercises & questions
  --submissions         retrieve submissions

Show / Export:
  --courses, -c         list all courses
  --grades, -g          list all grades
  --assignments, -a     overview all assignments
  --file [EXCEL_FILE], -f [EXCEL_FILE]
                        export what is shown to excel

(c) Oliver Lindemann
```

### Typical workflow

Ensure that you have set an access token (call '--token'). A new token can be generated via the ANS website:
https://ans.app/users/tokens


1) Initiate new database:
        `--new mydatabase` and follow instructions
2) Download grades  (results):
        `mydatabase --results`
3) Download all questions (exercises):
        `mydatabase --exercises` (that might take a while!)
4) Show assignment overview:
        `mydatabase -a`
5) Show grades:
        `mydatabase -r`

   To save assignments, courses or grades add `--file myexcelfile.xlsx`
   to a show command

---

## getANS Python library

API documentation is work in progress

see demo script [getans_demo.py](getans_demo.py)
instantgit 0.1.0
A comprehensive .gitignore template manager
Requires Python: >=3.7

# InstantGit

A comprehensive .gitignore template manager that makes git initialization a breeze! Stop wasting time copying and pasting .gitignore templates - InstantGit has you covered with the most comprehensive template out of the box.

## Features

- One-command installation
- Comprehensive .gitignore template covering:
  - Operating Systems (Windows, macOS, Linux)
  - IDEs and Editors (VSCode, PyCharm, Sublime, etc.)
  - Programming Languages (Python, JavaScript, Java, etc.)
  - Build outputs and dependencies
  - Environment and configuration files
  - And much more!
- Simple CLI interface
- Automatic template addition to your project

## Installation

```bash
pip install instantgit
```

## Usage

To add the comprehensive .gitignore template to your project:

```bash
instantgit --add
```

This will create a new .gitignore file in your current directory (or append to an existing one) with our comprehensive template.

## Contributing

Contributions are welcome! Feel free to:
1. Fork the repository
2. Create your feature branch (`git checkout -b feature/amazing-feature`)
3. Commit your changes (`git commit -m 'Add some amazing feature'`)
4. Push to the branch (`git push origin feature/amazing-feature`)
5. Open a Pull Request

## License

This project is licensed under the MIT License - see the LICENSE file for details.
hack4uTestPG 0.1.0
Biblioteca para consultar cursos hack4u

## Cursos disponibles:

- Introduccion a Linux[15 horas]
- Personalizacion de Linux[3 horas]
- Introduccion al hacking [53 horas]

## Instalacion

Instala el paquete usando `pip3`:

```python3
pip3 install hack4u
```

## Uso basico

### Listar todos los cursos

```python
from hack4u import list_courses

for course in list_courses():
    print(course)
```

### Obtener un curso por nombre


```python
from hack4u import get_course_by_name

course = get_course_by_name("Introduccion a LInux")
print(course)
```

### Calcular duracion total de los cursos

```python3
from hack4u.utils import total_duration
print(f"Duracion total: {total_duration()} horas")
```

### Obtener un curso por nombre

```python
from hack4u import get_course_by_name

course = get_course_by_name("Introduccion a LInux")
print(course)
```
### Calcular duracion total de los cursos

```python3
from hack4u.utils import total_duration
print(f"Duracion total:{total_duration()} horas")
```
pyclics 3.1.0
creating colexification networks from lexical data
Requires Python: >=3.6

# pyclics
python package implementing the CLICS processing workflow

[![PyPI](https://img.shields.io/pypi/v/pyclics.svg)](https://pypi.org/project/pyclics)


See [clics3](https://github.com/clics/clics3/) for an example application.
decryption-lib 0.1.0
A simple AES-CBC decryption library.
Requires Python: >=3.7

# Decryption Library

## Overview

A simple Python library for decrypting AES-CBC encrypted data. It uses a password-based key derivation function (PBKDF2 HMAC with SHA-256) to securely generate cryptographic keys.

## Installation

Install the library using `pip`:

```bash
pip install decryption_lib
readmission-model 0.0.5
A package the modules to carry out the readmission modelling based on the patient's information and medical conditions
Requires Python: >=3.8

# Readmission Modelling

Development of models for readmission in US hospitals.

## Description

Individual readmission prediction models are developed for the following conditions:

- Pneumonia (POAY)
- Myocardial infarction
- Stroke
- Diabetes
- Dementia
- Chronic pulmonary disease
- Heart faliure

These predictions are developed using a range of different models.

## Data

Initial datasets required:
- Data:
    - AdmissionsAllTriggers
    - AdmissionsPOANTriggers
    - AdmissionsDiagnosis
    - dates
    - Ids
- Condition Spreadsheets:
    - Codes
    - CoMorbidity_List
    - Comorb_Mappings
    - Chronic condition mapping
    - ComorbiditiesMap_Groups
    - ChronicConditionsMap


# License

No license is offered for this package, and it cannot be used, modified, or shared for any purpose.