UsefulLinks
Physics
Applied and Interdisciplinary Physics
Computational Physics
1. Introduction to Computational Physics
2. Mathematical Foundations
3. Programming Fundamentals
4. Computer Arithmetic and Error Analysis
5. Root Finding Methods
6. Numerical Differentiation
7. Numerical Integration
8. Linear Systems
9. Eigenvalue Problems
10. Ordinary Differential Equations
11. Partial Differential Equations
12. Monte Carlo Methods
13. Molecular Dynamics
14. Data Analysis and Visualization
15. Applications in Classical Mechanics
16. Applications in Electromagnetism
17. Applications in Quantum Mechanics
18. Applications in Statistical Mechanics
19. Applications in Fluid Dynamics
20. High-Performance Computing
3.
Programming Fundamentals
3.1.
Programming Languages for Physics
3.1.1.
Python
3.1.2.
C/C++
3.1.3.
Fortran
3.1.4.
Julia
3.1.5.
MATLAB
3.2.
Essential Programming Concepts
3.2.1.
Variables and Data Types
3.2.2.
Control Structures
3.2.2.1.
Loops
3.2.2.2.
Conditionals
3.2.2.3.
Branching
3.2.3.
Functions and Procedures
3.2.4.
Data Structures
3.2.4.1.
Arrays
3.2.4.2.
Lists
3.2.4.3.
Dictionaries
3.2.4.4.
Matrices
3.2.5.
File Input/Output
3.2.6.
Error Handling
3.3.
Code Organization
3.3.1.
Modular Programming
3.3.2.
Object-Oriented Programming
3.3.3.
Code Documentation
3.3.4.
Version Control
3.4.
Scientific Computing Libraries
3.4.1.
NumPy
3.4.2.
SciPy
3.4.3.
Matplotlib
3.4.4.
GNU Scientific Library
3.4.5.
BLAS and LAPACK
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4. Computer Arithmetic and Error Analysis