Scientific python tutorial
1. Chapter 1: Introduction
2. Chapter 2: First Steps
3. Chapter 3: Arrays
4. Chapter 4: Input and Output
5. Chapter 5: Plotting
6. Chapter 6: Flow control
7. Chapter 7: Functions
8. Chapter 8: Curve Fitting
9. Chapter 9: Scipy
Scientific python tutorial
Docs
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Index
Index
A
|
C
|
D
|
E
|
F
|
I
|
L
|
N
|
O
|
R
|
S
A
Anaconda
resources
,
[1]
anonymous functions
lambda expressions
,
[1]
C
conditionals
applied to arrays
curve fitting
linear
linear; exponential function
linear; power law function
linear; power-law function
linear; with weighting
nonlinear
D
discrete Fourier transforms
E
eigenvalue problems
F
fast Fourier transforms
see discrete Fourier transforms
FFTs
see discrete Fourier transforms
functions
arguments; **kwargs
arguments; *args
arguments; keyword
arguments; positional
arguments; variable number
fast array processing
looping over arrays
multiple inputs and/or outputs
user defined
I
IPython
IPython Notebook
L
lambda expressions
,
[1]
linear algebra
eigenvalue problems
generalized eigenvalue problem
Hermitian and banded matrices
solving systems of equations
list comprehension
,
[1]
logical operators
loops
for loops
while loops
N
non-linear equations
Bisection method
Brent method
Newton-Raphson method
Ridder method
solving
systems of nonlinear equations
numerical integration
double integrals
integrals of polynomials
single integrals
O
ODEs
numerical solutions
R
roots of equations
see non-linear equations
S
SciPy
discrete Fourier transforms
linear algebra
non-linear equations
nonlinear curve fitting
numerical integration
ODEs
solving systems of equations
special functions
solving non-linear equations
see non-linear equations
Spyder
resources