semvec/pypi-packages huggingface dataset:
sdf-heroku-deploy 2.0.0
This script generates a Dockerfile with the basic settings to deploy your flask application to heroku. And as a bonus a steps.txt with the step by step for you to publish the project.
License: MIT
Requires Python: >=3.10,<4.0


# Project Description

This script generates a Dockerfile with the basic settings to deploy your flask application to heroku. And as a bonus a `steps.txt` with the step by step for you to publish the project.


# Note: Run the script inside your project folder.

## Installation from Pypi
`pip install sdf-heroku-deploy`

## Module Usage

```python
from sdf_heroku_deploy import main
main()
```


## CLI Usage

### Get the list of available commands

`sdfh_cli --help`

Output 

```
Options:
  -img, --image_name TEXT       Type the name of the image you want to give   
                                the image to be created.
  -hap, --heroku_app_name TEXT  Type the name of the heroku app you want to   
                                give the app to be created.
  -r, --run TEXT                Type the name of the file that runs your flask
                                application.
  --help                        Show this message and exit.
```
##  Commands usage example

1. `sdfh_cli -img my_docker_image -hap my_heroku_app_name -r flask_app_runner`

2. `sdfh_cli --image_name my_docker_image --heroku_app_name my_heroku_app_name --run flask_app_runner`

Output 
```
./Dockerfile
./steps.txt
```
sarkas 1.0.2
Sarkas - A Fast pure-python Molecular Dynamics suite for plasmas
License: MIT
Requires Python: >=3.7

# Sarkas
A Pure Python Molecular Dynamics package for Non-Ideal Plasmas

Sarkas aims at lowering the entry barrier for computational plasma physics by providing a comprehensive MD suite complete with pre- and post-processing tools commonly found in plasma physics.

Sarkas is entirely written in Python without calls to C/Fortran hence avoiding a two-language problem. It relies on the most common Python scientific packages, e.g. NumPy, Numba, SciPy, and Pandas, which provide a solid foundation built, optimized, and well documented by one of the largest community of developers. Furthermore, Sarkas is developed using an object-oriented approach allowing users to add new features in a straight-forward way.

Sarkas targets a broad user base: from experimentalists to computational physicists, from students approaching plasma physics for the first time to seasoned researchers. Therefore Sarkas’ design revolves around two primary requirements: ease-of-use and extensibility.

## Documentation
https://murillo-group.github.io/sarkas/

## Installation
Sarkas can be installed by running the command

    pip install sarkas
 
in a terminal or command prompt window.
string-cleaner 0.2.1
Module for clean string from special chars and replace it by html-entity.
License: MIT
Requires Python: >=3.10
Keywords: xss,sql,cleaner,string

# String cleaner
Module for clean string from special chars and replace it by html-entity.

#### In current version (0.2.0):
* Replace special chars from string by html-entity based on the json entity map
    * symbol - "
    * symbol - '
    * symbol - >
    * symbol - <
    * another quote symbols
* Support possibility work with context manager.

#### In next versions:
* 0.3 — additional users rule for replace

#### How to use:
For first install module in your virtual environment:
```commandline
pip install string-cleaner
```
After this you can import this module and use it:
```python
from string_cleaner import cleaner
clean_string = cleaner.TakeString('<script>alert(123)</script>').make_clean_string()
```

Also you can use it with context manager:
```python
from string_cleaner import cleaner

with cleaner.TakeString('<test>') as clean_string:
    print(clean_string)
```