What is the fastest way to check if a value exists in a very large list? Answer Clearest and fastest way to do it. You can also consider using a set, but constructing that set from your list may take more time than faster membership testing will save. The only way to be certain is to benchmark well. (this als…
Tag: performance
[] and {} vs list() and dict(), which is better? [closed]
Closed. This question is opinion-based. It is not currently accepting answers. Want to improve this question? Update the question so it can be answered with facts and citations by editing this post. Closed 6 months ago. The community reviewed whether to reopen this question 6 months ago and left it closed: Or…
Efficiently detect sign-changes in python
I want to do exactly what this guy did: Python – count sign changes However I need to optimize it to run super fast. In brief I want to take a time series and tell every time it crosses crosses zero (changes sign). I want to record the time in between zero crossings. Since this is real data (32 bit
Get difference between two lists with Unique Entries
I have two lists in Python: Assuming the elements in each list are unique, I want to create a third list with items from the first list which are not in the second list: Are there any fast ways without cycles and checking? Answer To get elements which are in temp1 but not in temp2 (assuming uniqueness of the …
Numpy and line intersections
How would I use numpy to calculate the intersection between two line segments? In the code I have segment1 = ((x1,y1),(x2,y2)) and segment2 = ((x1,y1),(x2,y2)). Note segment1 does not equal segment2. So in my code I’ve also been calculating the slope and y-intercept, it would be nice if that could be av…
Python string join performance
There are a lot of articles around the web concerning Python performance. The first thing you read is concatenating strings should not be done using ‘+’; avoid s1 + s2 + s3, and instead use str.join I tried the following: concatenating two strings as part of a directory path: three approaches: …