- MATLAB–Python–Julia cheatsheet
Dependencies and Setup¶
In the Python code we assume that you have already run importnumpyasnp
NumPy Cheat Sheet – Python for Data Science Abhay Kumar Prajapat posted Jun 18, 2020 NumPy is the library that gives Python its ability to work with data at speed. Python Cheat Sheet. This rep is a growing list of Python cheat sheets. Found any typos or have a suggestion? Fork, contribute and tune it to your taste! Currently includes: NumPy; Matplotlib; Installation. If you want to install a package individually, go into the corresponding.md file for instructions on how to install.
- Python For Data Science Cheat Sheet Lists Also see NumPy Arrays. Selecting List Elements. Import libraries import numpy import numpy as np Selective import from math import pi help(str) Python For Data Science Cheat Sheet. Learn More Python for Data Science Interactively at www.datacamp.com. Variable Assignment.
- MATLAB commands in numerical Python (NumPy) 5 Vidar Bronken Gundersen /mathesaurus.sf.net 3.6 Vector multiplication Desc. Matlab/Octave Python R Multiply two vectors a.a a.a a.a Vector dot product, u v dot(u,v) dot(u,v) 4 Matrices Desc. Matlab/Octave Python R.
In the Julia, we assume you are using v1.0.2 or later with Compat v1.3.0 or later and have run usingLinearAlgebra,Statistics,Compat
Creating Vectors¶
Operation | MATLAB | Python | Julia |
|---|---|---|---|
Row vector: size (1, n) | |||
Column vector: size (n, 1) | |||
1d array: size (n, ) | Not possible | or | |
Integers from j to n withstep size k | |||
Linearly spaced vectorof k points |
Creating Matrices¶
Operation | MATLAB | Python | Julia |
|---|---|---|---|
Create a matrix | |||
2 x 2 matrix of zeros | |||
2 x 2 matrix of ones | |||
2 x 2 identity matrix | |||
Diagonal matrix | |||
Uniform random numbers | |||
Normal random numbers | |||
Sparse Matrices | |||
Tridiagonal Matrices |
Manipulating Vectors and Matrices¶
Operation | MATLAB | Python | Julia |
|---|---|---|---|
Transpose | |||
Complex conjugate transpose(Adjoint) | |||
Concatenate horizontally | or | or | |
Concatenate vertically | or | or | |
Reshape (to 5 rows, 2 columns) | |||
Convert matrix to vector | |||
Flip left/right | |||
Flip up/down | |||
Repeat matrix (3 times in therow dimension, 4 times in thecolumn dimension) | |||
Preallocating/Similar | N/A similar type | ||
Broadcast a function over acollection/matrix/vector | Functions broadcast directly | Functions broadcast directly |
Accessing Vector/Matrix Elements¶
Operation | MATLAB | Python | Julia |
|---|---|---|---|
Access one element | |||
Access specific rows | |||
Access specific columns | |||
Remove a row | |||
Diagonals of matrix | |||
Get dimensions of matrix |
Mathematical Operations¶
Operation | MATLAB | Python | Julia |
|---|---|---|---|
Dot product | |||
Matrix multiplication | |||
Inplace matrix multiplication | Not possible | ||
Element-wise multiplication | |||
Matrix to a power | |||
Matrix to a power, elementwise | |||
Inverse | or | or | |
Determinant | |||
Eigenvalues and eigenvectors | |||
Euclidean norm | |||
Solve linear system(Ax=b) (when (A)is square) | |||
Solve least squares problem(Ax=b) (when (A)is rectangular) |
Sum / max / min¶
Operation | MATLAB | Python | Julia |
|---|---|---|---|
Sum / max / min ofeach column | |||
Sum / max / min of each row | |||
Sum / max / min ofentire matrix | |||
Cumulative sum / max / minby row | |||
Cumulative sum / max / minby column |
Programming¶
Operation | MATLAB | Python | Julia |
|---|---|---|---|
Comment one line | |||
Comment block | |||
For loop | |||
While loop | |||
If | |||
If / else | |||
Print text and variable | |||
Function: anonymous | |||
Function | |||
Tuples | Can use cells but watch performance | ||
Named Tuples/Anonymous Structures | |||
Closures | |||
Inplace Modification | No consistent or simple syntaxto achieve this |
Cheating in NumPy? Of course! 🐍
Python Numpy Array Cheat Sheet
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What if I want more than cheating in NumPy?
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