semvec/pypi-packages huggingface dataset:
quickbytes 0.1.1
A lightweight data manipulation library like pandas
Requires Python: >=3.6

# QuickBytes

QuickBytes is a lightweight Python library designed to handle tabular data stored in a dictionary-like format. It provides essential functionalities for data manipulation, similar to a DataFrame, but with a focus on performance and simplicity. QuickBytes supports common operations like selecting columns, filtering rows, computing statistics, sorting, and more. 

**Note**: QuickBytes is currently under development. Some features may not be fully stable, and the API may change in future releases.

## Features

- **Head**: Retrieve the first `n` rows of the data.
- **Select**: Select specific columns from the dataset.
- **Mean**: Compute the mean of a column.
- **Apply**: Apply a function to one or more columns.
- **Filter**: Filter rows based on a condition.
- **GroupBy**: Group data by a column and apply an aggregation function.
- **Sort**: Sort the dataset by a specified column.
- **To CSV**: Export data to a CSV file.
- **Fill NA**: Fill missing values with a specified value.
- **Describe**: Generate summary statistics for numeric columns.
- **Pivot**: Create a pivot table.
- **Show**: Print the data in a tabular format.

## Installation

To install QuickBytes, use pip:

```bash
pip install quickbytes