Installation
============

The QhX package can be installed along with its necessary dependencies using pip. Ensure that you have Python and pip installed on your system before proceeding.

Users can install QhX by cloning its repository and installing it manually:

.. code-block:: bash

    git clone https://github.com/lionandjelka/QhX1.git
    cd QhX1
    pip install .

Requirements
------------

QhX requires the following packages to be installed:

- numpy
- pandas
- scipy
- scikit-learn
- scikit-optimize
- libwwz
- colorednoise
- tqdm
- pyarrow
- panel
- hvplot
- datashader
- bokeh
- dask[dataframe]
- traitlets


These dependencies should be automatically installed when installing QhX using pip. However, if you need to install them manually, you can use the following command:

.. code-block:: bash

    pip install numpy pandas scipy scikit-learn scikit-optimize libwwz colorednoise tqdm pyarrow panel hvplot datashader bokeh dask[dataframe] traitlets


Alternatively, if you have a `requirements.txt` file in your repository, you can install all the dependencies using:

.. code-block:: bash

    pip install -r requirements.txt



After installation, you can import QhX in your Python environment to start using it.