semvec/pypi-packages huggingface dataset:
searchpie 1.0.0
A handy tool to search through Wikipedia, Tmdb and Mal.
License: MIT
Requires Python: >=3.5

# Searchpie
A handy tool to search through Wikipedia, Tmdb and Mal.

# Table Of Contents

- [Searchpie](#searchpie)
- [Table Of Contents](#table-of-contents)
- [Installation](#installation)
    - [Install From Pip](#install-using-pip)
    - [Install From Source](#install-from-source)
- [Usage](#usage)
- [Credits](#credits)


# Installation

## Install Using Pip
    
    pip install searchpie

## Install From Source

    python3 -m pip install --upgrade build
    git clone https://github.com/gautam8404/Searchpie
    cd Searchpie


    python3 -m build
    cd dist

This will create a dist package in directory

    dist/
    ├── searchpie-0.0.4-py3-none-any.whl
    └── searchpie-0.0.4.tar.gz

After that install using pip

    pip install searchpie-0.0.4-py3-none-any.whl

# Usage

Searchpie requires TMDb Api Key to search for movies and tv shows you can get it [here](https://www.themoviedb.org/settings/api) although you can still use searchpie for everything else





    searchpie [identifier_flag] <query> [option_flag]

Example:
    
    searchpie -m fight club -p 2

- `-m` flag tells searchpie to look into movies data
- `-p` flag tells searchpie to fetch 2 results, upto 10 results can be fetched

Incase identifier flag is not provided searchpie will look into default search method, it can be changed using:


    searchpie --set-default

For full help use

    searchpie --help



# Credits

- [jikan.moe](https://github.com/jikan-me)
pranyaoptimalpricingmodel1 0.0.1
An optimal pricing model that can be used for any new product launched in the market.
License: MIT
Keywords: optimal pricing model

This is an optimal pricing model and loan allotment model based on ROI.

There are two functions within, one for each model.

calc_new_prod_price(var_cost_list, max_qty, max_price, fixed_cost, profit_margin)

This function has to be called for determining the optimal price of a new product entering the market.
It takes the following arguments:

var_cost_list : (compulsory) Takes a list of variable cost inputs per unit of product.

max_qty : (compulsory) Takes an integer input of the maximum quantity that can be produced of the product.

max_price : (compulsory) Takes a numeric input of the maximum price that can be set for the product
based on precedent or industry standards.

fixed_cost : (compulsory) Takes a numeric input of the fixed costs incurred while producing the product
regardless of the quantity produced.

profit_margin : (optional) Takes a numeric input and allows the user to provide their desired profit margins for
optimal pricing. In case it is left blank, a default profit margin will be calculated via mathematical formulas.


loan_alloc(total_fund, percent_alloc, i, signs)

This function has to be called for estimating the loan allotment for each category.
The function takes the following arguments:

total_fund: (Compulsory) Takes a numeric input of the total fund that the bank has available for loan allotment. 

percent_alloc: (Compulsory) Takes a list input of numeric data for the percentage of the total fund allotted to each loan category. 

i: (Compulsory) Takes a list input of numeric data for the Rate of Interest associated with each loan category.

signs: (Compulsory) Takes a list input of string type for the sign of the constraint i.e. â€œ<=â€œ or â€œ>=â€œ



CHANGE LOG

=======================

0.0.1 (04/11/2022)

=======================

- First Release
pranyaoptimalpricingmodel 0.0.1
An optimal pricing model that can be used for any new product launched in the market.
License: MIT
Keywords: optimal pricing model

This is an optimal pricing model and loan allotment model based on ROI.

There are two functions within, one for each model.

calc_new_prod_price(var_cost_list, max_qty, max_price, fixed_cost, profit_margin)

This function has to be called for determining the optimal price of a new product entering the market.
It takes the following arguments:

var_cost_list : (compulsory) Takes a list of variable cost inputs per unit of product.

max_qty : (compulsory) Takes an integer input of the maximum quantity that can be produced of the product.

max_price : (compulsory) Takes a numeric input of the maximum price that can be set for the product
based on precedent or industry standards.

fixed_cost : (compulsory) Takes a numeric input of the fixed costs incurred while producing the product
regardless of the quantity produced.

profit_margin : (optional) Takes a numeric input and allows the user to provide their desired profit margins for
optimal pricing. In case it is left blank, a default profit margin will be calculated via mathematical formulas.


loan_alloc(total_fund, percent_alloc, i, signs)

This function has to be called for estimating the loan allotment for each category.
The function takes the following arguments:

total_fund: (Compulsory) Takes a numeric input of the total fund that the bank has available for loan allotment. 

percent_alloc: (Compulsory) Takes a list input of numeric data for the percentage of the total fund allotted to each loan category. 

i: (Compulsory) Takes a list input of numeric data for the Rate of Interest associated with each loan category.

signs: (Compulsory) Takes a list input of string type for the sign of the constraint i.e. â€œ<=â€œ or â€œ>=â€œ



CHANGE LOG

=======================

0.0.1 (04/11/2022)

=======================

- First Release