Python-Foundation-Libraries-And-Scripts-Python-Lib

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A curated collection of foundational Python libraries and scripts designed for robust development, automation, and data processing. Optimized for efficiency and modularity.

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🚀 Project Overview

This repository serves as a comprehensive toolkit for Python developers, offering a high-quality, modular collection of essential libraries and utility scripts. It is engineered for reliability, performance, and ease of integration into diverse projects, from complex automation workflows to intricate data processing pipelines.

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🌳 Project Structure

bash Python-Foundation-Libraries-And-Scripts-Python-Lib/ ├── src/ │ ├── init.py │ ├── core/ │ │ ├── init.py │ │ └── utils.py │ ├── automation/ │ │ ├── init.py │ │ └── file_ops.py │ └── data_processing/ │ ├── init.py │ └── analysis.py ├── scripts/ │ ├── run_automation.py │ └── process_data.py ├── tests/ │ ├── init.py │ ├── core/test_utils.py │ ├── automation/test_file_ops.py │ └── data_processing/test_analysis.py ├── .gitignore ├── LICENSE ├── README.md ├── AGENTS.md ├── pyproject.toml ├── .ruff.toml ├── .github/workflows/ci.yml ├── .github/CONTRIBUTING.md ├── .github/ISSUE_TEMPLATE/bug_report.md ├── .github/PULL_REQUEST_TEMPLATE.md └── .github/SECURITY.md

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📜 Table of Contents

• 🚀 Project Overview
• 🌳 Project Structure
• 📜 Table of Contents
• 🛠️ Core Features
• ⚙️ Technology Stack
• 💡 Development & Setup
• 🚀 Running Scripts
• 🧪 Testing
• 🛡️ Development Principles
• 🤖 AI AGENT DIRECTIVES
• 🤝 Contributing
• ⚖️ License

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🛠️ Core Features

• Modular Design: Highly organized codebase promoting reusability and maintainability.
• Robust Utilities: Core Python utilities for common development tasks.
• Automation Scripts: Pre-built scripts for automating repetitive tasks (e.g., file operations, system commands).
• Data Processing: Efficient modules for data manipulation, cleaning, and analysis.
• Performance Optimized: Written with efficiency and speed in mind.

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⚙️ Technology Stack

• Language: Python 3.10+
• Package Management: uv (Ultra-fast, reliable dependency management)
• Linting & Formatting: Ruff (Blazingly fast Python linter and formatter)
• Testing: Pytest (Powerful and flexible testing framework)

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💡 Development & Setup

1. Clone the Repository: bash git clone https://github.com/chirag127/Python-Foundation-Libraries-And-Scripts-Python-Lib.git cd Python-Foundation-Libraries-And-Scripts-Python-Lib

2. Install Dependencies using uv: bash uv install

   This command will read the pyproject.toml file and install all project dependencies, including development tools.

3. Verify Setup: Ensure linting and formatting are correctly set up: bash ruff check . ruff format .

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🚀 Running Scripts

Execute utility scripts directly from the scripts/ directory.

• Run Automation Script: bash python scripts/run_automation.py --help

• Run Data Processing Script: bash python scripts/process_data.py --help

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🧪 Testing

Execute all tests using pytest:

bash pytest

To run tests with coverage:

bash pytest --cov=src/

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🛡️ Development Principles

• SOLID: Design principles promoting maintainable and scalable object-oriented software.
• DRY (Don't Repeat Yourself): Avoid redundancy in code and configuration.
• YAGNI (You Ain't Gonna Need It): Implement only necessary features.
• Modularity: Ensure components are loosely coupled and highly cohesive.

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🤖 AI AGENT DIRECTIVES

Click to Expand AI Agent Directives

This repository is managed by the Apex Technical Authority (December 2025 Edition), operating under strict AI Agent protocols.

1. IDENTITY & PRIME DIRECTIVE

• Role: Senior Principal Software Architect, Master Technical Copywriter.
• Context: December 2025; building for 2026 standards.
• Output Standard: EXECUTION-ONLY. No plans, only executed code/docs.
• Philosophy: "Zero-Defect, High-Velocity, Future-Proof."

2. INPUT PROCESSING & COGNITION

• Speech-to-Text Interpretation: STRICTLY FORBIDDEN from executing literal typos. Must infer technical intent.
• Logic Anchor: README.md is the Single Source of Truth (SSOT).
• Mandatory MCP Instrumentation: Use linkup/brave for December 2025 standards, docfork for API verification, and clear-thought-two for complex flow architecting.

3. CONTEXT-AWARE APEX TECH STACKS (LATE 2025 STANDARDS)

• Project Type: Python (pyproject.toml detection).
• Apex Toolchain (Python):
  • Stack: Python 3.10+, uv (Package Management), Ruff (Linting/Formatting), Pytest (Testing).
  • Architecture: Modular Monolith.

4. APEX NAMING CONVENTION

• Format: <Product>-<Function>-<Platform>-<Type> (e.g., Python-Foundation-Libraries-And-Scripts-Python-Lib).

5. THE README REPLICATION PROTOCOL

• Content: Must be a self-contained Project Operating System.
• Sections: Visual Authority, Structural Clarity, AI Agent Directives, Development Standards.
• Badges: flat-square style, chirag127 username, mandatory badges (Build, Coverage, Tech Stack, Lint, License, Stars).

6. CHAIN OF THOUGHT (CoT) PROTOCOL

• Pre-Execution Audit: Analyze repo, decide Pivot/Archive, apply Naming Strategy, draft AI Directives, generate files, polish, ensure strict adherence to AGENTS.md.

7. DYNAMIC URL & BADGE PROTOCOL

• Base URL: https://github.com/chirag127/Python-Foundation-Libraries-And-Scripts-Python-Lib
• Consistency: Use new repository name for all links and badges.
• AGENTS.md Customization: Adapt content to specific tech stack (Python in this case), retain core Apex principles.

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🤝 Contributing

We welcome contributions to enhance this foundational library. Please follow the guidelines in the CONTRIBUTING.md file.

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⚖️ License

This project is licensed under the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) license. See the LICENSE file for more details.