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Overview

A structured collection of Python programs developed across multiple domains — IoT sensor simulation, data processing, algorithm implementation, web scraping, and data visualization. This repository serves as both a learning archive and a practical reference for Python development.

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Repository Structure

Python-Programming/
│
├── IOT/                   # Sensor simulation, smoothing & visualization
├── DataProcessing/        # Data cleaning, transformation & analysis
├── Algorithms/            # Sorting, searching & recursion
├── WebScraping/           # Automated data collection scripts
├── Visualizations/        # Charts, plots & statistical graphics
├── LearningPhase/         # Fundamentals — loops, functions, OOP
└── Others/                # Miscellaneous experiments & scripts

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Modules

IoT

Scripts for simulating and visualizing IoT sensor pipelines.

File	Description
SensorData.py	Reads and stores raw sensor readings
Smoothened_Data.py	Applies noise-reduction filters to raw sensor output
Virtual_Sensor.py	Generates synthetic sensor data programmatically
Visualize_matplotlib.py	Plots sensor readings to identify trends and patterns

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Data Processing

Pipelines for real-world dataset preparation.

File	Description
clean_data.py	Handles missing values, outliers, and normalization
transform_data.py	Restructures and encodes datasets for analysis

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Algorithms

Classic algorithm implementations in Python.

Category	Files
Sorting	bubble_sort.py, quick_sort.py
Searching	linear_search.py, binary_search.py
Recursion	factorial.py, fibonacci.py

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Web Scraping

Automated data collection from public sources.

File	Description
scrape_weather.py	Fetches weather data from public APIs or websites
scrape_stock.py	Collects financial and stock price data automatically

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Visualizations

Data storytelling through charts and statistical graphics.

File	Description
plot_sales.py	Visualizes sales trends using Matplotlib
plot_distribution.py	Histograms, scatter plots, and distribution charts

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Learning Phase

Foundational Python concepts and OOP exercises.

File	Description
basic_loops.py	Loops, conditionals, and control flow
functions_demo.py	Functions, parameters, and return values
oop_example.py	Classes, objects, inheritance, and encapsulation

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Getting Started

Prerequisites: Python 3.x installed on your system.

# Clone the repository
git clone https://github.com/Shubh-Mehta26-26/Python-Programming.git
cd Python-Programming

# Install required dependencies
pip install matplotlib numpy pandas seaborn requests beautifulsoup4

# Run any script
python filename.py

Example

cd IOT
python SensorData.py

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Roadmap

• IoT sensor simulation & visualization
• Data cleaning & transformation pipelines
• Core sorting & searching algorithms
• Web scraping automation
• Data visualization with Matplotlib
• Machine Learning mini-projects
• API integration examples
• Unit tests for algorithm modules
• Jupyter Notebook versions of key scripts

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Author

Shubham Kumar

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