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Where Python Empowers Mathematics to Solve, Visualize, and Innovate.

A powerful collection of Python-based mathematical tools and simulations. From optimization solvers to fractal generators, it bridges computation and creativity. Explore, analyze, and visualize mathematics like never before!

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About

Ever wondered how Mathematics can be combined with Python??

Pythematics bridges the gap between mathematics and Python with innovative tools and solutions.

Innovative Solutions
User-Friendly Interface
Highly Customizable
Efficient Performance

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Below are the Mathematics driven Python Projects.
The Projects

My Mathematics driven Solutions

NetViz

Analyze social networks with interactive visualizations. Explore relationships, centrality, and communities. Import or input data easily.

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Encryptify

Explore encryption and decryption methods with Caesar, Vigenère, and Affine ciphers. Encrypt and decrypt text with easy-to-use options and customizable keys.

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StatScope

An interactive tool for statistical analysis with features like t-tests, ANOVA, and visualizations, supporting data input via random generation, manual entry, or CSV upload.

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ProbGenie

An interactive tool for simulating and visualizing Normal, Binomial, Poisson, and Exponential distributions in Streamlit.

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MathSolverPro

Streamlit app for solving Newton-Raphson, Simpson's Rule, and Gaussian Elimination with user or random inputs.

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Image Alchemy

App to apply filters and transformations (grayscale, blur, sharpen, etc.) to images, with options to save and download the result.

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FractalScope

Interactive app to visualize and download Mandelbrot and Julia sets, with customizable parameters for fractal generation.

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PathFinder Studio

Interactive graph visualizer to explore various algorithms like Dijkstra, MST, DFS, and BFS on randomly generated or user-defined graphs.

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AlgeSolve

App for performing mathematical operations like simplifying, differentiating, integrating expressions, solving equations, and finding matrix inverses.

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OptiSolve

This app lets users solve optimization problems like LP, NLP, and QP with custom or random data.

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Code Architect

Ghanshyamsinh Zala

Freelancer & Developer