NumPy/SciPy
4.3
Optimization
Scientific Programming
Preface
1
Installing python and setup
2
Acknowledgements
Programming fundamentals
3.1
Basics
3.2
Functions
3.3
Data structures
3.4
Objects
3.5
File I/O
3.6
Debugging
3.7
Version control
3.8
Best practices
NumPy/SciPy
4.1
Arrays
4.2
Linear algebra
4.3
Optimization
4.4
Interpolation
4.5
Pandas
SymPy
5.1
Expressions
5.2
Calculus
5.3
Equations
5.4
Vectors
Matplotlib
6.1
2D-plots
6.2
3D-plots
Applications
7.1
Kinematics
7.2
Differential equations
7.3
Numerical integration
7.4
Fusion360 API
NumPy/SciPy
4.3
Optimization
4.3
Optimization
…
4.2
Linear algebra
4.4
Interpolation