NeuraPython 2.0.6

NeuraPython is a unified framework combining AI, Machine Learning, Data Science, Web Development, Scientific Computation, and Utility tools.

🧠 NeuraPython

The All-in-One AI, ML, Scientific & Utility Framework for Python Developers

Created & Maintained by Ibrahim Shahid

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Unify AI, Machine Learning, Science, and Web Development — in one module.

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🌟 Overview

NeuraPython is a unified powerhouse module that merges Artificial Intelligence, Machine Learning, Web Development, Data Science, Physics, Chemistry, and Mathematics into a single framework. It’s designed for developers, engineers, students, and researchers who want to explore intelligence, computation, and science without juggling multiple libraries.

This package consolidates commonly used tools — including TensorFlow, PyTorch, Flask, Scikit-learn, OpenCV, Matplotlib, and more — under one unified namespace.

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🔍 Philosophy

“One Import. Infinite Possibilities.”

NeuraPython aims to make scientific, AI, and data workflows faster, simpler, and smarter — no boilerplate code, no repetitive setup.

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🧩 Core Functionalities

🤖 Artificial Intelligence

• Connect to Google Gemini API and OpenAI ChatGPT API
• Universal Neural Network Engine supporting both TensorFlow and PyTorch
• Dynamic model building with sequential layer architecture
• Unified training, compilation, and prediction interface

🧠 Machine Learning

• NeuraPython_ML simplifies model creation, training, evaluation, and saving.
• Preprocessing tools: normalization, encoding, standardization, and scaling
• Prebuilt datasets: Iris, Wine, Digits, Breast Cancer
• Built-in models:
  • Linear & Logistic Regression
  • SVM, KNN, Decision Tree, Random Forest
  • Gradient Boosting, PCA, KMeans, Naive Bayes
• Automatic train-test split, cross-validation, and grid search

🌐 Web Development

• Flask-based WebServer class with:
  • Custom route handling
  • File upload and JSON endpoints
  • SQLite integration
  • Health-check routes
  • Vector plotting endpoints

🧮 Advanced Mathematics & Calculus

• Derivatives, Integrals, Limits, Partial Derivatives
• Gradient, Curl, Divergence
• Taylor Series, Summation, Jacobian, Hessian
• Symbolic computation powered by Sympy

⚛️ Physics

• Classical mechanics, Relativity, and Quantum mechanics equations
• Functions for velocity, acceleration, energy, force, momentum
• Relativistic mass, Lorentz factor, time dilation
• Quantum equations (Planck, De Broglie, Heisenberg)

⚗️ Chemistry

• Periodic Table data for 50+ elements
• Molar, atomic, and gas constant utilities
• Planck’s relation, photon energy, and quantum constants

📊 Data Visualization

• 2D & 3D visualization using Matplotlib
• Line, Bar, Scatter, Pie, Polar, and 3D vector plots
• Built-in Vector2D & Vector3D classes with geometry operations

🧾 File Readers & Converters

• Read: .pdf, .docx, .json, .xml, .csv, .xlsx, .html, .md, .txt
• Convert between formats:
  • PDF ↔ DOCX
  • CSV ↔ Excel ↔ JSON
  • Markdown → HTML
  • Text → PDF/DOCX
• Supports direct string-to-file conversion

🎤 Speech & Audio

• Text-to-Speech via pyttsx3
• Voice input recognition using SpeechRecognition
• Audio and video playback through pygame and OpenCV

🧰 Utility Tools

• QR Code Generator and Reader
• Calendar printer
• Google, YouTube, WhatsApp search helpers
• System utilities for file handling, OS detection, and device info

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⚙️ Installation

From PyPI

pip install neurapython

Manual Installation

git clone https://github.com/IbrahimShahid7767/neurapython.git
cd neurapython
pip install -r requirements.txt

Dependencies

pip install numpy pandas scikit-learn flask pyttsx3 pygame pillow opencv-python pdfplumber pdf2docx docx2pdf fpdf markdown beautifulsoup4 sympy tensorflow torch joblib qrcode requests

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💻 Usage Examples

Example 1 — Quick Math

from neurapython import Advanced_Maths

calc = Advanced_Maths()
print(calc.factorial(6))

Example 2 — Machine Learning Workflow

from neurapython import NeuraPython_ML

ml = NeuraPython_ML()
X, y = ml.load_builtin_dataset("iris")
X_train, X_test, y_train, y_test = ml.split(X, y)

model = ml.create_model("svm")
ml.train("svm", X_train, y_train)
y_pred = ml.predict("svm", X_test)

print(ml.evaluate(y_test, y_pred))

Example 3 — Neural Network with Torch

from neurapython import NeuralNetwork

nn = NeuralNetwork(backend="torch")
nn.Sequential([4, 8, 3])
nn.compile(optimizer="adam", loss="mse")
nn.fit([[1, 2, 3, 4]], [[0, 1, 0]], epochs=5)

Example 4 — Web Server

from neurapython import WebServer

app = WebServer()
app.simple_route("/", code="Welcome to NeuraPython Web")
app.health("/health")
app.run(port=5200)

Example 5 — Physics

from neurapython import Physics

p = Physics()
print(p.kinetic_energy(5, 10))
print(p.mass_energy_equivalence(0.1))

Example 6 — QR Code

from neurapython import QR_Code

QR_Code.generator("https://github.com/IbrahimShahid7767", "neura_qr.png")
print(QR_Code.reader("neura_qr.png"))

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🧩 Module Summary

Category	Classes / Functions	Description
AI	AI, NeuralNetwork	Gemini, ChatGPT API, PyTorch & TensorFlow NN
ML	NeuraPython_ML	Unified Scikit-learn Wrapper
Maths	Advanced_Maths, Calculus, Matrices	Arithmetic, calculus, algebra, symbolic computing
Science	Physics, Chemistry	Mechanics, Relativity, Quantum, Periodic Table
Visualization	Visualizer2D, Visualizer3D	Graphs and vector plots
Media	Media	Image, Audio, Video handling
Web	WebServer	Flask API automation
Converters	Converter, Reader	File transformation and reading
Utilities	QR_Code, Calender	QR, calendar, web utilities

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🧠 Vision

“NeuraPython isn’t just a library — it’s a platform for computational intelligence.”
It simplifies AI, math, and science workflows into a unified Pythonic experience.

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📂 Project Structure

neurapython/
├── __init__.py
├── ai/
│   ├── neural.py
│   ├── ml.py
│   └── api_clients.py
├── core/
│   ├── physics.py
│   ├── chemistry.py
│   ├── calculus.py
│   ├── maths.py
│   └── matrices.py
├── utils/
│   ├── converter.py
│   ├── reader.py
│   ├── media.py
│   ├── webserver.py
│   └── qrcode_tool.py

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🧾 License

MIT License © 2025 Ibrahim Shahid

Permission is hereby granted, free of charge, to any person obtaining a copy of this software to use, modify, and distribute copies without restriction.

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🌐 NeuraPython — Intelligence Simplified.