PyToolMaster 1.0.0

A Swiss Army knife for developers with text summarization, ASCII art, task automation, math tools, and error handling.

PyToolMaster

🚀 The Ultimate Developer's Swiss Army Knife
PyToolMaster combines five powerful utilities into one sleek package, saving you time and effort.

🔧 Features

1. 📝 TextSummarizr — Smart Text Summarization

   • Quickly extract key points from long articles, blogs, or research papers.

2. 🖼️ ImageifyCLI — ASCII Art from Images

   • Transform any image into beautiful ASCII art with color and emoji support.

3. ⚙️ TaskFlow — Lightweight Task Automation

   • Schedule tasks with an intuitive, human-readable syntax.

4. 📐 BrainyMath — Advanced Math Toolkit

   • Solve algebra, calculus, and more — complete with interactive plotting.

5. 🐛 ErrorHandlerPro — Enhanced Error Tracing

   • Provides clear, actionable error reports with smart troubleshooting suggestions.

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🛠️ Installation

Install PyToolMaster effortlessly with pip:

pip install PyToolMaster

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🚀 Usage

📝 TextSummarizr — Summarize Text Quickly

from pytoolmaster import TextSummarizr

text = """The quick brown fox jumps over the lazy dog. This sentence contains all letters of the alphabet."""
summarizer = TextSummarizr()
print(summarizer.summarize(text))

🖼️ ImageifyCLI — Turn Images into ASCII Art

python -m pytoolmaster.imageify path/to/image.jpg

⚙️ TaskFlow — Automate Repetitive Tasks

from pytoolmaster import TaskFlow

TaskFlow("backup").every("1h").run("backup_script.py")

📐 BrainyMath — Advanced Math Computations

from pytoolmaster import BrainyMath

print(BrainyMath.solve("x^2 - 4 = 0"))

🐛 ErrorHandlerPro — Smarter Error Handling

from pytoolmaster import ErrorHandlerPro

try:
    1 / 0
except Exception as e:
    ErrorHandlerPro.report(e)

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🔥 Why Choose PyToolMaster?

• 🎯 All-in-one utility — Save time switching between different tools.
• ⚡ Fast and lightweight — Minimal dependencies, optimized for performance.
• 💪 Customizable — Each module is standalone, so you only import what you need.

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🧪 Running Tests

Ensure everything works smoothly:

python -m unittest discover tests

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🧠 Contributing

We welcome contributions! To get started:

1. Fork the repository
2. Create a new branch (git checkout -b feature/new-feature)
3. Commit your changes (git commit -m 'Add new feature')
4. Push to the branch (git push origin feature/new-feature)
5. Open a Pull Request

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📜 License

This project is licensed under the MIT License. See the LICENSE file for details.

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👨‍💻 Author

Shiboshree Roy

• Email: [e-mail]
• GitHub: ShiboshreeRoy

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✨ Empower your development workflow with PyToolMaster!