semvec/pypi-packages huggingface dataset:
streamlit-container-width 1.0.3
A simple component that returns the dimensions of the container where it is rendered.
Requires Python: >=3.6

# Streamlit - Container - Width

A simple streamlit component that returns the dimensions of the container where it is rendered.
This may be used to format other components that require the dimensions of the container.

## Notes and Limitations

If multiple `st_container_width` components will be used in the app, each component must be given a unique `key` value. Otherwise, the `key` argument is not required.

The current version only provides the width of the container in pixels.

## Installation

```shell script
pip install streamlit-container-width
```

## Example

```python
import streamlit as st
from streamlit_container_width import st_container_width

st.set_page_config(layout="wide")

st.title("Main Dimensions")
st.write(st_container_width(key="main"))

with st.sidebar:
    st.title("Sidebar Dimensions")
    st.write(st_container_width(key="sidebar"))

```

![demo-app](img/demo-app.png)
veeml 0.1.0
A package for machine learning models and utilities
Requires Python: >=3.7

*Veeml* is a Python package for machine learning models and utilities. It includes a set of models like linear regression and other machine learning algorithms, along with utility functions for data preprocessing and model evaluation.

##Installation

You can install the package via pip:

pip install veeml==0.1.0

### Usage
##Importing Models
Once installed, you can import the models and utilities from the package.

````python
#Import the Linear Regression model
from veeml.models.linear_regression import LinearRegression

# Import utility functions
from veeml.utils.data_processing import load_sample_data, preprocess_data
```
donifaranga 0.0.4
Donifaranga is a powerful client-server package designed in the frame of Federated Learning to facilitate distributed machine learning while preserving data privacy.

# Dɔni farangan (Federated learning)

Donifaranga is a powerful package designed in the frame of Federated Learning to facilitate distributed machine learning while preserving data privacy. This framework enables multiple clients to collaboratively train machine learning models without sharing their raw data.