data-ml-utils

A utility python package that covers the common libraries we use

Installation

This is an open source library hosted on pypi. Run the following command to install the library.

pip install data-ml-utils --upgrade

Documentation

Head over to https://data-ml-utils.readthedocs.io/en/latest/index.html# to read our library documentation

Feature

Pyathena client initialisation

Almost one liner

import os
from data_ml_utils.pyathena_client.client import PyAthenaClient

os.environ["AWS_ACCESS_KEY_ID"] = "xxx"
os.environ["AWS_SECRET_ACCESS_KEY"] = "xxx" # pragma: allowlist secret
os.environ["S3_BUCKET"] = "xxx"

pyathena_client = PyAthenaClient()

Pyathena client initialisation

Pyathena query

Almost one liner

query = """
    SELECT
        *
    FROM
        dev.example_pyathena_client_table
    LIMIT 10
"""

df_raw = pyathena_client.query_as_pandas(final_query=query)

Pyathena query

MLflow utils

Visit link

More to Come

You suggest, raise a feature request issue and we will review!

Tutorials

Pyathena

There is a jupyter notebook to show how to use the package utility package for pyathena: notebook

MLflow utils

There is a jupyter notebook to show how to use the package utility package for mlflow_databricks: notebook

Metadata

Release files for sm_data_ml_utils 1.0.10

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for sm_data_ml_utils 1.0.10
File	Size	Uploaded
sm_data_ml_utils-1.0.10.tar.gz	15.5 kB	Aug 13, 2026	Details

Built distribution (wheel)

Table of built distributions (wheels) for sm_data_ml_utils 1.0.10
File	Interpreter	ABI	Platform	Reset
sm_data_ml_utils-1.0.10-py3-none-any.whl 17.7 kB Aug 13, 2026	Python 3	none	any	Details

Total release size: 33.2 kB

Release files / sm_data_ml_utils-1.0.10.tar.gz

Download URL	sm_data_ml_utils-1.0.10.tar.gz
Size	15.5 kB
Tags	Source
SHA-256 checksum How to use checksums	`60c88256d78631fb459b99fc7ae3f134ff7ada1f8e13c15a709b84dce9b85d8a`
BLAKE2b-256 checksum How to use checksums	`facd64c36f73dcd246b89b0d6c7b955cec413f5208226c20765d61f1d95250a4`
Upload date	Aug 13, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`poetry/1.8.3 CPython/3.13.5 Darwin/25.5.0`

Release files / sm_data_ml_utils-1.0.10-py3-none-any.whl

Download URL	sm_data_ml_utils-1.0.10-py3-none-any.whl
Size	17.7 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`77aca4ccf7fd0bc26225e2861c3ddb01bbf5e11844781e9108b5472c36c0d1a5`
BLAKE2b-256 checksum How to use checksums	`32387b5b144dd852d08cd58849330e99ec4244e7c870ba0596335e33be6384e8`
Upload date	Aug 13, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`poetry/1.8.3 CPython/3.13.5 Darwin/25.5.0`