semvec/pypi-packages huggingface dataset:
pranyaoptimalpricing 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
cordstore 0.0.3
Utilize discord to store files in textchannels using bots or webhooks
License: MIT
Requires Python: >=3.8.0

# CordStore
Utilize discord to store files in textchannels using bots or webhooks

---

### Installation
```
# Linux/macOS
python3 -m pip install -U cordstore

# Windows
py -3 -m pip install -U cordstore
```

### How to use
```python
# Webhook Storage
storage = WebhookStorage("webhook_url")
uploaded_file = await storage.upload_file("example.png")
storage.close()

# Channel Storage
storage = ChannelStorage(bot, 1234567890123456789)
uploaded_file = await storage.upload_file("example.png")
storage.close()
```

### What would a uploaded file look like?
```python
uploaded_file.to_dict()
```
```json
{
   "id":1234567890123456789,
   "channel_id":1234567890123456789,
   "filename":"example_file_name",
   "size":12345,
   "url":"example_url",
   "proxy_url":"example_proxy_url",
   "width":1280,
   "height":720,
   "content_type":"image/png"
}
```
med-multiply 0.1.3
Test library
License: MIT

# Medium multiply
A small demo library for a Medium publication about publishing libraries.

### Installation
``` python
pip install med-multiply
```
### Get started
How to multiply one number by another with this lib:

``` python
from med_multiply import Multiplication

# Instantiate a Multiplication object
multiplication = Multiplication(2)

# Call the multiply method
result = multiplication.multiply(5)
```
dw1656-hw1 0.1.0
Homework1 library
License: MIT

# dw1656_hw1
A small demo library created for Data Engineering homework, to obfuscate the Polygon API key from the main method.

### Installation
```
pip install dw1656-hw1
```

### Get started
How to retrieve the required Polygon API key with this lib:

```Python
from dw1656_hw1 import PolygonAPIKey

# Retrieve the API key
api_key = PolygonAPIKey.get_polygon_api_key()
```