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A utils Python package for data scientists.

Project description

AI/ML Utils | @GitHub | @PyPI

This is a Python pacakage that contains misc utils for AI/ML.

  1. Misc enhancement of Python's built-in functionalities.
    • string
    • collections
    • pandas DataFrame
    • datetime
  2. Misc other tools
    • aiutil.filesystem: misc tools for querying and manipulating filesystems; convenient tools for manipulating text files.
    • aiutil.url: URL formatting for HTML, Excel, etc.
    • aiutil.sql: SQL formatting
    • aiutil.cv: some more tools (in addition to OpenCV) for image processing
    • aiutil.shell: parse command-line output to a pandas DataFrame
    • aiutil.shebang: auto correct SheBang of scripts
    • aiutil.pydev: tools for making it even easier to manage Python project
    • aiutil.pdf: easy and flexible extracting of PDF pages
    • aiutil.memory: query and consume memory to a specified range
    • aiutil.notebook: Jupyter/Lab notebook related tools
    • aiutil.dockerhub: managing Docker images on DockerHub in batch mode using Python
    • aiutil.hadoop:
      • A Spark application log analyzing tool for identify root causes of failed Spark applications.
      • Pythonic wrappers to the hdfs command.
      • A auto authentication tool for Kerberos.
      • An improved version of spark_submit.
      • Other misc PySpark functions.

Installation

pip3 install --user -U aiutil

Use the following commands if you want to install all components of aiutil. Available additional components are cv, docker, pdf, jupyter, admin and all.

pip3 install --user -U aiutil[all]

Executable Scripts

  • snb: Search for content in Jupyter notebooks.
  • logf: A Spark application log analyzing tool for identify root causes of failed Spark applications.
  • pyspark_submit: Makes it easy to run Scala/Python Spark job.
  • pykinit: Make it easier to authenticate users' personal accounts on Hadoop.
  • match_memory: Query and consume memory.

You can run those executable scripts using uv (so that you don't have to manually install this Python package) . For example,

uvx --from aiutil snb -h

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