semvec/pypi-packages huggingface dataset:
det-sys-calc-eziped 0.0.3
Calculate systems of equations and determinants to your heart's content
Requires Python: >=3.6

# determinant-calc
## calculate systems of equations and determinants to your heart's content with tkinter and eddie

## installation
* prerequisites: python 3.6 or above
* go to terminal or command prompt
* pip install det-sys-calc-eziped
* python3 -m det-sys-calculator OR python -m det-sys-calculator 
## https://pypi.org/project/det-sys-calc-eziped/0.0.1/

'''Uses row reduction and tkinter as a basis for the program, packaged into two different windows-determinant and sys of equations.
    tkinter makes calls to the backend and the backend returns a result for tkinter to display.'''

for v2:
* make tabbing work
* fix lables for system of eqns
* add show steps button
* final windows
tinap 0.2
Port forwarding with traffic shaping

=====
tinap
=====

tinap -- stands for "This Is Not A Proxy"

It's also a beautiful place in Bangladesh with the biggest waterfall of that country.

The Urban Dictionary also `says
<https://www.urbandictionary.com/define.php?term=tinap>`_ it's "young people
who go to rave parties who are dressed in bright and extreme styles of
clothing".

Features:

- protocol-agnostic port forwarder
- Network traffic shaping inspired from `tsproxy <This is intended to replace tsproxy https://github.com/WPO-Foundation/tsproxy>`_


Installation
============

Tinap is a pure Python script, you can install it with::

   $ pip install tinap

If you are under windows you need to install pywin32 as well::

   $ pip install pywin32


How to use
==========

Tinap has a few general options, followed by a mode (forward or socks)::

   $ tinap --help
   usage: tinap [-h] [-v] [--host HOST] [--upstream-host UPSTREAM_HOST]
               [--port PORT] [--upstream-port UPSTREAM_PORT]
               [--port-mapping PORT_MAPPING] [-r RTT] [-i INKBPS] [-o OUTKBPS]

   Tinap port forwarder

   optional arguments:
   -h, --help            show this help message and exit
   -v, --verbose         Verbose mode
   --host HOST           host
   --upstream-host UPSTREAM_HOST
                           upstream host
   --port PORT           port
   --upstream-port UPSTREAM_PORT
                           upstream port
   --port-mapping PORT_MAPPING
                           Comma-separated list of port forwarding rules each
                           rule is composed of <source_host>:<source_port>/<targe
                           t_host>:<target_port> Example (forwards port 80 and
                           443 to 8080 and 8282): 127.0.0.1:80/127.0.0.1:8080,127
                           .0.0.1:443/127.0.0.1:8282
   -r RTT, --rtt RTT     Round Trip Time Latency (in ms).
   -i INKBPS, --inkbps INKBPS
                           Download Bandwidth (in 1000 bits/s - Kbps).
   -o OUTKBPS, --outkbps OUTKBPS
                           Upload Bandwidth (in 1000 bits/s - Kbps).


Configuration examples
======================

XXX show 2 full setups:
- firefox <> tinap <> wpr
- firefox <> tinap <> mitmproxy
PSNN 0.1.5
Python Simple Neural Network - PSNN is python3 lib for machine learning
Requires Python: >=3.0

[![PSNN](https://raw.githubusercontent.com/Lukas0025/PSNN/master/assets/logo.svg?sanitize=true)](https://pypi.org/project/PSNN/)

[![issues](https://img.shields.io/github/issues/Lukas0025/PSNN)](https://github.com/Lukas0025/PSNN/issues)
[![closed issues](https://img.shields.io/github/issues-closed-raw/Lukas0025/PSNN)](https://github.com/Lukas0025/PSNN/issues)
[![size](https://img.shields.io/github/repo-size/Lukas0025/PSNN)](https://github.com/Lukas0025/PSNN/)
[![last commit](https://img.shields.io/github/last-commit/Lukas0025/PSNN)](https://github.com/Lukas0025/PSNN/)

PSNN is library what implement machine learning for python3. It very easy to install and use. The user API is designed according to the Keras. 
The main advantage over keras is that it contains backed itself. Another big advantage is its small size, which allows the library to distribute even within your final application. 
The library is suitable for small and large neural networks.

## Getting started

* [examples](https://github.com/Lukas0025/PSNN/tree/master/examples)
* [wiki](https://github.com/Lukas0025/PSNN/wiki)

## Getting help

**NOTE**: You can find something in wiki

* Issues: https://github.com/Lukas0025/PSNN/issues

## Reporting bugs and contributing

* Want to report a bug or request a feature? Please open [an issue](https://github.com/Lukas0025/PSNN/issues/new).
* Want to help us with build? Contact me

## Licensing

PSNN is licensed under Apache2
ukpf 0.1
A personal finance package for the UK tax system
Keywords: PERSONAL,FINANCE,UK,PAYSLIP

# ukpf

This project eventually aims to be a complete personal finance package for the UK tax system.

Currently this package purely contains calculations for the following contributions which appear on UK payslips:
1. Income Tax
2. National Insurance
3. Student Loans
4. Autoenrolement Pension

There are also static methods for calculating:
1. Simple Interest Rate
2. Compound Intrest Rate

I am not responsible for any financial decisions made as a result of this code. This project is in an alpha state, expect bugs and use with caution.

Install using:
` pip install ukpersonalfinance`