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Showing posts with the label Performance

Python - Dividing A List-of-lists To Groups

Consider the following simplified case: lol = [['John','Polak',5,3,7,9], [&#… Read more Python - Dividing A List-of-lists To Groups

Need To Create A Large Number Of New Processes Very Quickly In Windows/python

In order to test some security software, I need to be able to create a large (configurable) number … Read more Need To Create A Large Number Of New Processes Very Quickly In Windows/python

Pyqtgraph For Plotting Multiple Data Lists

At the moment I am using matplotlib to plot multiple numpy arrays (or lists) of data. These corresp… Read more Pyqtgraph For Plotting Multiple Data Lists

Why Is Pandas Map Slower Than List Comprehension

Does someone know why pandas/numpy map is slower then list comprehension? I thought I could optimiz… Read more Why Is Pandas Map Slower Than List Comprehension

Removing Nested For Loop To Find Coincidence Values

I am currently using a nested for loop to iterate through to arrays to find values that match a cer… Read more Removing Nested For Loop To Find Coincidence Values

Why Is Np.linalg.norm(x,2) Slower Than Solving It Directly?

Example code: import numpy as np import math import time x=np.ones((2000,2000)) start = time.time… Read more Why Is Np.linalg.norm(x,2) Slower Than Solving It Directly?

Performance In Different Vectorization Method In Numpy

I wanted to test the performance of vectorizing code in python: import timeit import numpy as np d… Read more Performance In Different Vectorization Method In Numpy

Vectorized Relabeling Of Numpy Array To Consecutive Numbers And Retrieving Back

I have a huge training dataset with 4 classes. These classes are labeled non-consecutively. To be a… Read more Vectorized Relabeling Of Numpy Array To Consecutive Numbers And Retrieving Back