Metadata-Version: 2.4
Name: quick_logger_ta
Version: 0.1.0
Summary: A simple logging utility with speech capabilities.
License: MIT
License-File: LICENSE
Keywords: logging,utility,speech
Author: Your Name
Author-email: youremail@example.com
Requires-Python: >=3.7,<4.0
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Programming Language :: Python :: 3.13
Classifier: Programming Language :: Python :: 3.14
Requires-Dist: pyttsx3 (==2.90)
Project-URL: Homepage, https://github.com/JoeEberle/quick_logger
Project-URL: Repository, https://github.com/JoeEberle/quick_logger
Description-Content-Type: text/markdown

![Image image_filename](solution_sign.png)
    
# Library For Logging And Debugging 

## 2024-03-15 10:39:07,382 - INFO - Process solution_temple Step 0 - Initializing and starting Logging Process.

    ![Image image_filename](code.png)
Welcome to the solution **Library For Logging And Debugging** 

2024-03-15 10:39:07,382 - INFO - Process solution_temple Step 0 - Initializing and starting Logging Process.
![Image image_filename](code.png)
## Getting Started

The goal of this solution is to **Jump Start** your development and have you up and running in 30 minutes. 

To get started with the **Library For Logging And Debugging** solution repository, follow these steps:
1. Clone the repository to your local machine.
2. Install the required dependencies listed at the top of the notebook.
3. Explore the example code provided in the repository and experiment.
4. Run the notebook and make it your own - **EASY !**
    
## 🧠 Solution Features

- ✅ Easy to understand and use  
- ✅ Easily Configurable 
- ✅ Quickly start your project with pre-built templates
- ✅ Its Fast and Automated
- ✅ Saves You Time 



## ⚙️ Key Features

- ✅ **Self Documenting** Automatically identifies and annotates major steps in a notebook, making the codebase readable and well structured.
- ✅ **Self Testing** Includes built in **unit tests** for each function to validate logic and ensure code reliability.
- ✅ **Easily Configurable** Uses a simple **config.ini** file for centralized settings and easy customization through key value pairs.
- ✅ **Talking Code** explains itself through inline commentary, helping you understand both **what** it does and **why** it does it.
- ✅ **Self Logging** extends Python’s standard **logging** module for **step by step runtime insights**.
- ✅ **Self Debugging** Includes debugging hooks and detailed error tracing to simplify development and troubleshooting.
- ✅ **Low Code or  No Code** Designed to minimize complexity — most full solutions are under 50 lines of code.
- ✅ **Educational** Each template includes educational narrative and background context to support learning, teaching, and collaborative development.

    
