Performance issue with this code [closed]

In short: You should create,open,use,close,dispose Connections where you're using them. The best way is to use the using-statement. By not closing the connection as soon as possible, the Connection-Pool needs to create new physical connections to the dbms which...

Compare a pointer to an integer in C [closed]

Here's what I think you meant to post, it still doesn't compile though, since you can't compare a pointer to a char /* *Description: Construction of a social network */ #include <stdio.h> #include <strings.h> #include <stdlib.h> #define SIZE...

Autocomplete json in textbox

If you are using jQuery UI, the jQuery documentation on autocomplete is straightforward. Put your array as the source: and it should work automatically. IMHO, You seriously need to spend some time for googling and looking into the documentations. jQuery UI...

having all my scores and names in one big array

You need to initialize your array outside of your loop: name_arr = [] while int(students)>int(student): name = input ("what is your name ") score = input ("what is your score ") student = student + 1 name_arr.append(name) name_arr.append(score)...

pacman “exists on filesystem” error

After pacman finally deprecated the --force option and made the surrogate --overwrite option work as expected, the following usage pattern should be noted. A command to reproduce the --force option that blindly overwrites anything that conflicts is this: sudo...

How to determine the maximum number to pass to make -j option?

nproc gives the number of CPU cores/threads available, e.g. 8 on a quad-core CPU supporting two-way SMT. The number of jobs you can run in parallel with make using the -j option depends on a number of factors: the amount of available memory the amount of memory...

Number of Nearest ‘True’ in a matrix or list of list

Definitely not the best way to do it, but it's one that works: import numpy as np mas1 = np.array([[True, False, True], [ False, True, True], [ False, True, False]]) mas_answer = np.ndarray(shape=mas1.shape) for i in range(mas1.shape[0]): for j in...

Trying to display Json data from a web url into a table

You can take this json and put it in the loop through length of the json and show data into the table. This is how i solved it <?php try{ $url="the json url goes here"; // path to your JSON file $data = file_get_contents($url); // put the contents of the...