semvec/pypi-packages huggingface dataset:
biwoco 0.0.2
A sample python package
Requires Python: >=3.10

### Step to build package
```console
python -m build
python -m twine upload --repository pypi
```

### Install package
```console
    pip install biwoco==0.0.1
```

### Using Services
```console
    import biwoco 
    biwoco.exchange_rate(base='USD')
```

### Result
```console
 {'USD': 1, 'AED': 3.6725, 'AFN': 70.8128, 'ALL': 90.3133, 'AMD': 388.2783, 'ANG': 1.79, 'AOA': 894.527, 'ARS': 944.33, 'AUD': 1.4882, 'AWG': 1.79, 'AZN': 1.7004,
 'BAM': 1.7668, 'BBD': 2.0, 'BDT': 118.737, 'BGN': 1.7673, 'BHD': 0.376, 'BIF': 2880.3642, 'BMD': 1.0, 'BND': 1.3092, 'BOB': 6.9214, 'BRL': 5.461, 'BSD': 1.0, 'B
TN': 83.8666, 'BWP': 13.3805, 'BYN': 3.2656, 'BZD': 2.0, 'CAD': 1.3648, 'CDF': 2815.2362, 'CHF': 0.8635, 'CLP': 938.4722, 'CNY': 7.1382, 'COP': 4024.6745, 'CRC':
 518.4363, 'CUP': 24.0, 'CVE': 99.6062, 'CZK': 22.7462, 'DJF': 177.721, 'DKK': 6.7363, 'DOP': 59.6483, 'DZD': 134.2364, 'EGP': 48.7772, 'ERN': 15.0, 'ETB': 109.6
805, 'EUR': 0.9033, 'FJD': 2.2271, 'FKP': 0.7704, 'FOK': 6.7363, 'GBP': 0.7705, 'GEL': 2.6871, 'GGP': 0.7704, 'GHS': 15.6456, 'GIP': 0.7704, 'GMD': 70.4171, 'GNF
': 8663.7279, 'GTQ': 7.7399, 'GYD': 209.2486, 'HKD': 7.7908, 'HNL': 24.7513, 'HRK': 6.8062, 'HTG': 131.7746, 'HUF': 356.0256, 'IDR': 15546.8908, 'ILS': 3.7096, '
IMP': 0.7704, 'INR': 83.8672, 'IQD': 1310.3002, 'IRR': 42091.6416, 'ISK': 137.5868, 'JEP': 0.7704, 'JMD': 157.0341, 'JOD': 0.709, 'JPY': 146.5097, 'KES': 128.816
7, 'KGS': 85.7158, 'KHR': 4071.5658, 'KID': 1.4884, 'KMF': 444.4116, 'KRW': 1333.5454, 'KWD': 0.3056, 'KYD': 0.8333, 'KZT': 478.4285, 'LAK': 21965.1077, 'LBP': 8
9500.0, 'LKR': 298.4893, 'LRD': 194.7724, 'LSL': 17.7306, 'LYD': 4.7924, 'MAD': 9.7277, 'MDL': 17.5203, 'MGA': 4575.621, 'MKD': 55.9484, 'MMK': 2101.3817, 'MNT':
 3411.6157, 'MOP': 8.0246, 'MRU': 39.7784, 'MUR': 46.1787, 'MVR': 15.4328, 'MWK': 1743.7283, 'MXN': 18.691, 'MYR': 4.3812, 'MZN': 63.9279, 'NAD': 17.7306, 'NGN':
 1579.8832, 'NIO': 36.7577, 'NOK': 10.5818, 'NPR': 134.1865, 'NZD': 1.6394, 'OMR': 0.3845, 'PAB': 1.0, 'PEN': 3.7346, 'PGK': 3.9257, 'PHP': 56.6471, 'PKR': 278.607, 'PLN': 3.8558, 'PYG': 7596.8851, 'QAR': 3.64, 'RON': 4.5094, 'RSD': 105.8999, 'RUB': 89.7869, 'RWF': 1339.734, 'SAR': 3.75, 'SBD': 8.5011, 'SCR': 13.6846, 'SDG': 454.07, 'SEK': 10.342, 'SGD': 1.3092, 'SHP': 0.7704, 'SLE': 22.4514, 'SLL': 22451.4237, 'SOS': 571.7193, 'SRD': 28.8303, 'SSP': 2877.8851, 'STN': 22.1317, 'SYP': 12866.0695, 'SZL': 17.7306, 'THB': 34.4189, 'TJS': 10.5954, 'TMT': 3.5001, 'TND': 3.0677, 'TOP': 2.3326, 'TRY': 33.7754, 'TTD': 6.7513, 'TVD': 1.4884, 'TWD': 31.878, 'TZS': 2691.1587, 'UAH': 41.2986, 'UGX': 3724.0021, 'UYU': 40.2669, 'UZS': 12678.7446, 'VES': 36.6848, 'VND': 24987.5914, 'VUV': 118.0597, 'WST': 2.7516, 'XAF': 592.5488, 'XCD': 2.7, 'XDR': 0.7459, 'XOF': 592.5488, 'XPF': 107.7968, 'YER': 250.2491, 'ZAR': 17.7306, 'ZMW': 25.993, 'ZWL': 13.7918}
```
tse-derivatives 0.1.4
Gets the underlying asset ticker and the option type (either call or put) to fetch live option data.
Requires Python: >=3.6

# Live TSE Options Data Fetcher

## Description

This Python package retrieves live data for options traded on Tehran Stock Exchange and Iran Farabourse Exchange based on the underlying asset's ticker and option type. It supports tickers such as "خودرو" and option types including "call" and "put".

If  ticker is set to "all", then it gives the whole market watch for all of the underlying assets.

## Features

- Fetch live option data for specified tickers or the whole market.
- Support for multiple option types: "call" and "put".
- Easy integration with your existing applications.

## Installation

You can install the package via pip:

```python
pip install tse_derivatives
```

## Examples

Live options data for a specific underlying asset:

```python
from tse_derivatives import tse_options

ticker = "خودرو" # or "اهرم" ...
type = "call"  # or "put"
data = tse_options(ticker, type)
print(data)
```
Live options data for all underlying assets:

```python
from tse_derivatives import tse_options

ticker = "all"
type = "call"  # or "put"
data = tse_options(ticker, type)
print(data)
```