My Notebook

Personal/Lecture Notes, , 2025

This section is dedicated to my personal collection of notes and code, most of which were created/annotated as part of my learning journey. Some are related to my academic studies, while others were made just for fun. It would be a great pleasure if someone finds this helpful.

My Notes (Listed Partially)

  • Course: Introduction to Thermodynamics | Instructor: Dr. John Smith | PDF
  • Course: Fluid Mechanics | Instructor: Dr. Jane Doe | PDF
  • Course: Computational Methods | Instructor: Prof. Alan Turing | PDF
  • Course: Advanced Mathematics | Instructor: Dr. Albert Einstein | PDF
  • Course: Solid State Physics | Instructor: Prof. Richard Feynman | PDF

My Codes (Listed Partially)

  • Introduction to Programming | Code
  • Data Structures | Code
  • Machine Learning | Code
  • Web Development Basics | Code
  • Computational Physics | Code

Recommended Textbooks (Listed Partially)

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Book Name: Data-Driven Science and Engineering
Author: S. L. Brunton and J. N. Kutz
Publisher: Cambridge University Press
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Book Name: Turbulent Flows
Author: S. B. Pope
Publisher: Cambridge University Press
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Book Name: Variational Methods
Author: K. W. Cassel
Publisher: Cambridge University Press
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Book Name: Climate Change and Climate Modeling
Author: J. D. Neelin
Publisher: Cambridge University Press
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Book Name: Convection in Porous Media
Author: D. A. Nield and A. Bejan
Publisher: Springer
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Book Name: Liquid-Vapor Phase Change Phenomena
Author: V. P. Carey
Publisher: CRC Press
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Book Name: Thermodynamics
Author: K. Wark and D. E. Richards
Publisher: MCB, McGraw-Hill
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Book Name: Statistical Thermodynamics
Author: N. M. Lairendeau
Publisher: Cambridge University Press
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Book Name: Matrix, Numerical, and Optimization Methods in Science and Engineering
Author: K. W. Cassel
Publisher: Cambridge University Press