Working On

Started: 16 Jul 2016
Updated: 01 Mar 2025
This is where I keep track of everything I'm learning and have learned. It's my personal guide for what to read next and a home for all my digital notes.

Learning

Physics

  1. Computer Simulation of Liquid by Michael P. Allen, Dominic J. Tildesley
  2. Art of Molecular Dynamics Simulation by D. C. Rapaport
  3. Transport: Atom to Transistor by Supriyo Datta
  4. Modern Quantum Chemistry by A. Szabo, N. Ostlund

Mathematics

  1. Mathematical Methods for Physicist - Comprehensive Guide by George Arfken, Hans Weber, Frank E. Harris
  2. Theory and Problems of Tensor Calculus by David C. Kay
  3. Group Theory in a Nutshell by Physicists by Anthony Zee
  4. Introduction to Probability by D. Bertsekas and J. Tsitsiklis
  5. Mathematics For Physics: A Guided Tour for Graduate Students by M. Stone, P. Goldbart

Computer Science

  1. The Elements of Computing Systems: Noam Nisan
  2. Foundations of Computer Science by Alfred V. Aho , Jeffrey D. Ullman

Coding Skills

Numerical Computing

  1. Numerical Computing with Modern Fortran: R. J. Hanson, T. Hopkins
  2. Computational Physics: J.M. Thijssen
  3. Computational Quantum Mechanics: J. Izaac, J. Wang
  4. Statistical Mechanics: Algorithms and Computations: W. Krauth

Programming Languages

  1. Introduction to Programming with Fortran: Ian D. Chivers and Jane Sleightholme
  2. C++ Programming: Program Design Including Structure:D.S. Malik
  3. C Programming Languange (Ansi C):Brian Kernighan and Dennis M. Ritchie

Web Development

  1. Tango with Django by Leif Azzopardi and David Maxwell
  2. Django by Example by Antonio Melé
  3. CSS: The Definitive Guide by Eric A. Meyer
  4. Eloquent Javascript by Marijn Haverbeke

Non-technical Books Reading List

About Learning

  1. Sparks of Genius by Michele Root-Bernstein, Robert Root-Bernstein
  2. How to Solve it by George Pólya

Ongoing

  1. Quantum: Eistein, Bohr, and the Great Debate about the Nature of Reality by Manjit Kumar
  2. Eistein: His Life and Universe by Walter Isaacson
  3. The Innovators: Walter Isaacson
  4. The Physics of Wall Street: A Brief History of Predicting the Unpredictable: J. O. Weatherall

Res·er·voir

  1. Facts and Mysteries in Elementary Particle Physics by Martinus Veltman
  2. The Cycle of Time: An Extraordinary New View of the Universe Roger Penrose
  3. The Design of Everyday Things by Donald Norman and Peter Berkrot
  4. The Decision Book: Fifty Models for Strategic Thinking Mikael Krogerus

Done

  1. Show Your Work by Austin Kleon
  2. Elon Musk: Tesla, SpaceX, and the Quest for a Fantastic Future by Ashlee Vance
  3. Zero to One: Notes on Startups, or How to Build the Future by Peter Thiel
  4. A Thousand Splendid Suns by Khaled Hosseini
  5. After Dark by Haruki Murakami
  6. Kafka on the Shore by Haruki Murakami

Archive

  1. Numerical Recipes in Fortran 90
  2. Mastering Machine Learning with Python in Six Steps by Manohar Swamynathan
  3. Deep Learning with Python by Francois Chollet
  4. The Gentle Introduction to the Art of Mathematics
  5. Python 3 - Object Oriented Programming by Dusty Phillips
  6. Quantum Mechanics Concepts and Applications by Nouredine Zettilli
  7. Molecular Quantum Mechanics by P. Atkins, R. Friedman
  8. The Oxford Solid State Basics by Steven H. Simon
  9. Statistical Mechanics by R.K. Pathria, P.D. Beale
  10. Gravitation and Cosmology: Principles and Applications of the General Theory of Relativity by S. Weinberg
  11. Introduction to Many Body Physics by Piers Coleman
  12. Statistical Field Theory
  13. A Guide to Feynman Diagrams in the Many-body problem by Richard D. Mattuck