Vinsany 0.0.4

A python tools

Vinsany

A lightweight Python utility module for data processing, HTTP requests, and browser operations.

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📦 Features

• ✅ Module initialization (init, hello)
• ✅ Send HTTP requests (GET, POST, PUT, DELETE)
• ✅ Open URLs in browser
• ✅ Basic statistical data analysis (mean, median, std_dev, max, min, sum)
• ✅ Analyze data (find max, min, repeated values)

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🧩 API Reference

__init__.py

• init() – Initialize the module
• hello() – Returns "Hello World" if initialized

web.py

• send_get_request(url, params=None, headers=None) – Send GET request
• send_post_request(url, data=None, json=None, headers=None) – Send POST request
• send_put_request(url, data=None, json=None, headers=None) – Send PUT request
• send_delete_request(url, headers=None) – Send DELETE request
• Open_URL(url, mode="") – Open URL in browser (mode="new", "new_tab", or None)

data_utils.py

• mean(data: List[Union[int, float]]) -> float – Calculate the mean
• median(data: List[Union[int, float]]) -> Union[int, float] – Calculate the median
• max_value(data: List[Union[int, float]]) -> Union[int, float] – Return maximum value
• min_value(data: List[Union[int, float]]) -> Union[int, float] – Return minimum value
• std_dev(data: List[Union[int, float]]) -> float – Calculate standard deviation
• total_sum(data: List[Union[int, float]]) -> Union[int, float] – Return total sum
• analyze_data(*data: Union[int, float]) -> Dict[str, Union[int, float, Dict[Union[int, float], int]]] – Analyze data to find:
• Maximum value
• Minimum value
• Repeated values and their counts

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🧠 Data Analysis Function

analyze_data(*data: Union[int, float]) -> Dict[str, Union[int, float, Dict[Union[int, float], int]]]

Analyzes the input data to find:

• The maximum value
• The minimum value
• The repeated values (values that appear more than once)

Example:

result = analyze_data(3, 5, 2, 5, 7, 3, 9, 9, 9)
print(result)