rkt-lib-toolkit 1.8.0

RootKit custom Lib

rkt_lib_toolkit - Python library

This Python library is based only on built-in Python libraries and three (3) non-build-in library :

• PyYaml
• numpy
• pandas

Python Version 3.9.9

PyYaml Version 5.4.1 (Released Jan 20, 2021)

numpy Version 1.21.5 (Released Jan 7, 2022)

pandas Version 1.3.5 (Released Dec 12, 2021)

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What is Python?

Python is an interpreted high-level general-purpose programming language. Python's design philosophy emphasizes code readability with its notable use of significant indentation. Its language constructs as well as its object-oriented approach aim to help programmers write clear, logical code for small and large-scale projects.

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What is PyYaml?

YAML is a data serialization format designed for human readability and interaction with scripting languages. PyYAML is a YAML parser and emitter for Python.

PyYAML features a complete YAML 1.1 parser, Unicode support, pickle support, capable extension API, and sensible error messages. PyYAML supports standard YAML tags and provides Python-specific tags that allow to represent an arbitrary Python object.

PyYAML is applicable for a broad range of tasks from complex configuration files to object serialization and persistence.
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What is numpy?

NumPy is the fundamental package for scientific computing in Python.
It is a Python library that provides a multidimensional array object, various derived objects (such as masked arrays and matrices),
and an assortment of routines for fast operations on arrays, including mathematical, logical, shape manipulation, sorting, selecting, I/O, discrete Fourier transforms, basic linear algebra, basic statistical operations, random simulation and much more.
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What is pandas?

pandas is a Python package that provides fast, flexible, and expressive data structures designed to make working with "relational" or "labeled" data both easy and intuitive.
It aims to be the fundamental high-level building block for doing practical, real world data analysis in Python.
Additionally, it has the broader goal of becoming the most powerful and flexible open source data analysis / manipulation tool available in any language.
It is already well on its way towards this goal.
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Libraries

• Tool: toolbox library with, you can automatically format the path in your code without worrying about the platform hosting your script
• Logger: overlay of logging library
• Config: overlay of PyYaml library (read-only)
• AI: overlay of pandas library (Renforcement Learning - Qlearning)

Use it

Install

toolkit:

 (venv) my_project> pip install rkt_lib_toolkit [--index-url https://gitlab.tprc.ovh/api/v4/groups/python/-/packages/pypi]

tool:

 (venv) my_project> pip install rkt_tool_lib [--index-url https://gitlab.tprc.ovh/api/v4/groups/python/-/packages/pypi]

logger:

 (venv) my_project> pip install rkt_logger_lib [--index-url https://gitlab.tprc.ovh/api/v4/groups/python/-/packages/pypi]

config:

 (venv) my_project> pip install rkt_config_lib [--index-url https://gitlab.tprc.ovh/api/v4/groups/python/-/packages/pypi]

AI:

 (venv) my_project> pip install rkt_ai_lib [--index-url https://gitlab.tprc.ovh/api/v4/groups/python/-/packages/pypi]

Example

You can use one-by-one each lib as from rkt_[wanted_lib]_lib import [Object]

from rkt_lib_toolkit import Tool, Logger, Config

t = Tool()
l = Logger("My_Project")
c = Config()

# by default search folder named "config" in root project folder
# for load all yaml files
c.get_data()

l.add(level="debug", caller="My_Project",
      message=f"This Lib is very nice")

Output (as file, sdtout or both)

12/07/2021 02:58:24 :: [Logger] :: INFO :: Create logger for 'Config'
12/07/2021 02:58:24 :: [Logger] :: INFO :: add 'StreamHandler' in 'Config' logger
12/07/2021 02:58:24 :: [Logger] :: INFO :: add 'FileHandler' in 'Config' logger
12/07/2021 02:58:24 :: [Config] :: INFO :: Load 'myconf' file ...
12/07/2021 02:58:24 :: [My_Project] :: DEBUG :: This Lib is very nice

Contributing

If you find this library useful here's how you can help:

• Send a merge request with your kickass new features and bug fixes
• Help new users with issues they may encounter
• Support the development of this library and star this repo!