Windows Edition
Windows 8.1 Pro
System
Processor Intel(R) Core(TM) i7-5500U CPU @ 2.4GHz
Installed Memory 8.00 GB
System Type 64 Bit Operating System, x64 Based Processor
Integrated Development Environment (IDE)
Enthought Canopy
Version 2.1.3.3542 (32 bit)
| Operation | Time in sec (MATLAB) | Time in sec (PYTHON) |
| 10 million uniform random variable generation | 0.10 | 0.15 |
| 10 million normal random variable generation | 0.13 | 0.40 |
| for loop counting up to 100 million | 0.40 | 11.60 |
| Comparing two vectors of length 10 million each | 0.39 | 0.55 |
| Plotting a histogram of 10 million values | 0.89 | 0.76 |
| Plotting a scatter plot of 1 million values | 0.30 | 0.23 |
| Bit error rate calculation of BPSK for 10 values of SNR | 2.49 | 4.51 |
Although Python is a bit slower than MATLAB for most of the cases but the real difference is in implementation of “for loop” where the speed of MATLAB is 29x that of Python. Another surprising result was that the plot functions for Python were somewhat faster than MATLAB.
Author: Yasir
More than 20 years of experience in various organizations in Pakistan, the USA, and Europe. Worked with the Mobile and Portable Radio Group (MPRG) of Virginia Tech and Qualcomm USA and was one of the first researchers to propose Space Time Block Codes for eight transmit antennas. Have publsihed a book “Recipes for Communication and Signal Processing” through Springer Nature.