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A collection of projects and exercises completed as part of the Scientific Computing with Python course from FreeCodeCamp. This repository showcases Python implementations of key concepts like string manipulation, algorithms, recursion, data structures, object-oriented programming, and more.

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SciPy-Computing

A collection of projects and exercises completed as part of the Scientific Computing with Python course from freeCodeCamp. This repository showcases Python implementations of key concepts like string manipulation, algorithms, recursion, data structures, object-oriented programming, and more.


Table of Contents

  1. Introduction
  2. Projects
  3. Certification Projects
  4. Installation

Introduction

This repository serves as a learning and reference resource for scientific computing using Python. It covers fundamental concepts such as:

  • String manipulation
  • Data structures
  • Algorithms
  • Object-Oriented Programming (OOP)
  • Numerical methods

Projects

Learning Modules

  1. Cipher String Manipulation
  2. Luhn Algorithm
  3. Expense Tracker
  4. Case Converter
  5. Bisection Method
  6. Password Generator
  7. Shortest Path Algorithm
  8. Tower of Hanoi
  9. Merge Sort Algorithm
  10. Sudoku Solver
  11. Binary Search Tree
  12. Vector Space
  13. Equation Solver
  14. Projectile Trajectory Calculator

Each folder contains the following:

  • Python script for the project
  • Output obtained from the script
  • Description of the script

Certification Projects

  1. Arithmetic Formatter
  2. Time Calculator
  3. Budget App
  4. Polygon Area Calculator
  5. Probability Calculator

These projects are required to earn the Scientific Computing with Python certification.


Installation

  1. Clone the repository:
    git clone https://github.com/roshan076/SciPy-Computing.git  
    

About

A collection of projects and exercises completed as part of the Scientific Computing with Python course from FreeCodeCamp. This repository showcases Python implementations of key concepts like string manipulation, algorithms, recursion, data structures, object-oriented programming, and more.

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