semvec/pypi-packages huggingface dataset:
MySamplePipLibrary 0.0.2
A sample project to prove a concept

# This is a sample project to show how to publish a module to PyPi

## Modules 1:
A function that takes in an array of numbers and returns the sum of the squares of the numbers
### Source code:
```python
vector = list[int]


def squaredSum(array: vector) -> int:
    return sum([element ** 2 for element in array])

```
### How to use this module:
```python
from MySamplePipLibrary import squaredSum

print(squaredSum([1, 2, 3, 4])) # output: 30

```
## Module 2:
A function that takes an integer array and return its standard deviation.
### Source code:
```python
import math

vector = list[int]


def standardDeviation(array: vector) -> float:
    length = len(array)
		mean = sum(array) / length
    return round(math.sqrt(sum([(element - mean)**2 for element in array]) / length), 2)

```
### How to use this module:
```python
from MySamplePipLibrary import standardDeviation

print(standardDeviation([1, 2, 3, 4])) # output: 1.12

```