I wanted to know how to improve the performance of computer systems in general? >Solution : There are a number of ways to improve the performance of computer systems: Upgrade the hardware. This is probably the most obvious solution, but it is also the most expensive. Use faster and more efficient software. This can be… Read More How to improve the performance of computer systems?
What would be the pros/cons of using: if (‘key’ in obj) vs if (obj[‘key’]) Is one faster than another? >Solution : Consider the following: const myObj = { hello: undefined, }; console.log(myObj.hello); console.log(‘hello’ in myObj); The key "hello" is defined in myObj but its value is undefined. If you truly only need to know if… Read More Should I use the in operator or property accessors to check if a key exists in an object?
The question is simple: here is my current algorithm. This is terribly slow because of the loops on the arrays. Is there a way to change it in order to avoid the loops and take advantage of the NumPy arrays types ? import numpy as np def loopingFunction(listOfVector1, listOfVector2): resultArray = [] for vector1 in… Read More What is the most efficient way to deal with a loop on NumPy arrays?
Below is my worked examples: from itertools import zip_longest test2 = [‘register/adam/users_photo3.jpg’, ‘register/adam/users_photo4.jpg’, ‘register/justin/users_photo1.jpg’, ‘register/justin/users_photo2.jpg’, ‘register/adam/users_photo3.jpg’, ‘register/adam/users_photo4.jpg’, ‘register/justin/users_photo1.jpg’, ‘register/justin/users_photo2.jpg’, ‘register/steve/users_photo1.jpg’, ‘register/steve/users_photo2.jpg’, ‘register/justin/users_photo1.jpg’, ‘register/justin/users_photo2.jpg’, ‘register/steve/users_photo1.jpg’, ‘register/steve/users_photo2.jpg’, ‘register/justin/users_photo1.jpg’, ‘register/justin/users_photo2.jpg’] test = ["justin","adam"] filter_list = [] for p,q in zip_longest(test,list_of_files): for r in list_of_files: if str(p) in r: filter_list.append(r) testmain=[p for p,r in zip_longest(test2,filter_list) if str(r) not in… Read More extract path name based on a string
I have a string, I want to be able to move all the digits that appear odd numbers of times in the string to move to the front of the string IN ascending order. The rest of the string remains intact This is what I have tried till now: from collections import Counter def getOddOccurrence(myString):… Read More Arrange a string if it's odd
Is there a way to generate a checkerboard pattern without using nested for loops and without using x and y? I’m sure this has already been done before, but I couldn’t find it in the ~15mins I was looking for it. Currently I have this function that generates the pattern first extracting x and y:… Read More Checkerboard pattern without x and y (purely based on index)
The following codes does exactly what I need, however it is very slow when dealing with large number of data (up to 100 000). How could it be improved ? df = pd.DataFrame({ "session":["s1","s1","s1","s1","s2","s2","s2"], "sub session":["a", "b", "d", "g", "f", "a", "x"], "time":["2022-01-04 10:00:00", "2022-01-04 10:01:00", "2022-01-04 10:10:00", "2022-01-04 10:12:00", "2022-01-04 15:25:00", "2022-01-04 15:30:00", "2022-01-04… Read More Pandas aggregate with self written function: optimisation issue
Compiling and running this code with the maximum optimization settings seems to give the same result. #include <stdio.h> class A { public: A() { } const int* begin() const { return a; }; const int* end() const { printf("end\n"); return a + 3; }; bool isTrue() const { return true; } int a[4]; }; const… Read More Why doesn't the optimizer optimize this code?
I have a query that goes such: bankNumber and BIC are both indexed. SELECT * FROM `bank1` WHERE `bankNumber` <= 200000 or `BIC` = ‘Berlin’ By using the EXPLAIN, it uses both of the keys in possible_keys. I read in an article that one of the things that not to do when queries for indicies… Read More Optimizing a certain query
Here is an example of test code. I wonder how to optimize this code, knowing that in my development code, the original array comes from an API that I retrieve, then that I transform according to my needs and calculations in a class with functions methods (there is a lot of transformation in $rep with… Read More Optimize an array function