semvec/pypi-packages huggingface dataset:
submission 0.0.3
Takes algorithm, train, test, X variables, Y variables, column names required for submission and name of submission file as input and produces an output csv for submitting in the competition.

# 'Submission' Package for various online competitions.

This package helps the user to make submission file in '.csv' format (viz the criterion for most competitions) in a simple way.

Installation:

Run the following to install,

#Python

pip install submission

How it works?

It takes the algorithm, training dataset, test dataset, X variables, Y variables, column names (particular columns required for submission) and name of submission file (desired by the user) as input and produces an outputs the RMSE and Cross-Validation score of that model and in .csv for submitting in the competition.

How to use:

from sklearn.tree import DecisionTreeRegressor

DT = DecisionTreeRegressor(max_depth=15, min_samples_leaf=100)

submission.modelfit(DT, train_df, test_df, X, Y, IDcol, 'DT.csv')

Output:

Model Report

RMSE : 2914

CV Score : Mean - 2941 | Std - 20.86 | Min - 2907 | Max - 2975
aftercovid 0.1.2
Code, ideas about COVID epidemics

aftercovid: epidemics simulation
================================

.. image:: https://raw.githubusercontent.com/sdpython/aftercovid/master/doc/_static/logo.png
    :width: 50

`documentation <http://www.xavierdupre.fr/app/aftercovid/helpsphinx/index.html>`_

Tools, tries about COVID epidemics.
The module must be compiled to be used inplace:

::

    python setup.py build_ext --inplace

Generate the setup in subfolder ``dist``:

::

    python setup.py sdist

Generate the documentation in folder ``dist/html``:

::

    python -m sphinx -T -b html doc dist/html

Run the unit tests:

::

    python -m unittest discover tests

Or:

::

    python -m pytest

To check style:

::

    python -m flake8 aftercovid tests examples

The function *check* or the command line ``python -m aftercovid check``
checks the module is properly installed and returns processing
time for a couple of functions or simply:

::

    import aftercovid
    aftercovid.check()
kelpencryption 1.2
A simple but efficient key-based encryption library.
Requires Python: >=2.7

# Kelp Encryption
A simple but efficient key-based encryption library for Python.

## Installation
```py
pip install kelpencryption
```

## Features

### Generating a random key
```py
import kelpencryption as ke

# Default keygen size is 10.
# Keys are alphanumeric.
key = ke.genkey(size=15)

# There is no key format. You may write anything in the keys, as long as it is within ASCII.
```

### Encrypting a message
```py
import kelpencryption as ke

# Args: key, message
key = 'ExampleKey'

encrypted_message = ke.encrypt(key, 'Hello World!')

print(encrypted_message)
```

```bash
k74808k104939k112212k112212k115329k33248k90393k115329k118446k112212k103900k34287
Process finished with exit code 0
```

### Decrypting a message
```py
import kelpencryption as ke

# Args: key, message
key = 'ExampleKey'
message = 'k74808k104939k112212k112212k115329k33248k90393k115329k118446k112212k103900k34287'

decrypted_message = ke.decrypt(key, message)

print(decrypted_message)
```

```bash
"Hello World!"
Process finished with exit code 0
```
keepass2op 0.1a0
A migration tool for Keepass Database to 1Password and vice versa
Requires Python: >=3.6

# About this project
The aim of this project is to migrate [Keepass] databases to [1Password].  
There is an [import-tool](https://support.1password.com/import-1password-com/)
which reads CSV files already and since [Keepass] is capable to
export its database to CSV, this seems like reinventing the wheel
first. But this import-tool is only capable of importing some
text fields. Therefore, it can't deal with attachments, icons or
similar.

This tool is designed to migrate these things as well.

[Keepass]: https://keepassxc.org/
[1Password]: https://1password.com/
[1Password CLI]: https://1password.com/downloads/command-line/