Efficient way to sort large set of numbers

I have to sort a set of 100000 integers as a part of a programming
Q. The time limit is pretty restrictive, so I have to use the most
timeefficient approach possible.
My current code 
#include<cstdio>
#include<algorithm>
using namespace std;
int main() {
int n,d[100000],i;
for(i=0;i<n;++i) {
scanf("%d",&d[i]);
}
sort(d,d+n);
....
}
Would this approach be more efiicient?
int main() {
int n,d[100000],i;
for(i=0;i<n;++i) {
scanf("%d",&d[i]);
sort(d,d+i+1);
}
....
}
What is the most efficient way to sort a large dataset?
Note  Not homework...


I am working with some large (over 1 million x 1 million), sparse
matrices. I need to multiply 7 of them together, and I am currently
using Pythons scipy.sparse modules with the lil_matrix sparse class
(before multiplication, I need to slice them, etc). When doing the
multiplications, I can get 6 of them to multiply (it appears in any
order), yet the 7th fails with the following error message:
class="bbcode_container"> PHP
Code:
class="bbcode_code">File "/usr/local/packages/scipy/0.7.1/lib/python2.4/sitepackages/scipy/spars
/>e/base.py", line 288, in __mul__
/> &nbs

Ubuntu 

I've just started to learn python and I've decided to try and do a
bubble sort. I've used the code below which works ok if the numbers to
be sorted are 0 to 9. After that, it doesn't sort them correctly. I
think, in my limited knowledge that this is because it is a
'list'.
I would like the user to be able to input the numbers but for the
program to sort them regardless of the length of the number. Any help
would be appreciated.
def bubble_sort(items):
changes=0
for i in range(len(items)):
for j in range(len(items)1i):#i = optimised??
if items[j] > items[j+1]:
items[j], items[j+1] = items[j+1], items[j] # Swap
changes=changes+1
print(items)
print("Number of passes =",i)
print("Number of swaps =",changes)
print("Welcome to a Bubble Sort Algorithm in Python!")
while True:
print("Enter as many numbers as you want.
You can choose between 0 and 9.
Leave a space between each one")
numbers=input()
items=numbers.split()

Web Development 

The question is how do I do this using bubble sort and in blue j
using 2 loops and an if check having 3 conditions only?

Web Development 

I have an algorithm written in Java that I would like to make more
efficient. A part that I think could be made more efficient is finding
the smallest of 3 numbers. Currently I'm using the
Math.min method as below:
double smallest = Math.min(a, Math.min(b, c));
How efficient is this? Would it be more efficient to replace with
if statements like below:
double smallest;
if(a<b && a<c){
smallest = a;
}else if(b<c && b<a){
smallest = b;
}else{
smallest = c;
}
Or if any other way is more efficient
I'm wondering if it is worth changing what I'm currently using?
Any speed increase would be greatly helpful

Web Development 

I am looking for the most efficient (fastest) way to count how many
times each letter appears in a very large text file.
The basic idea is to use multi threading, so all 4 cores can
participate, while keeping in mind that the locks that are used for
synching takes time and lower efficiency.
So, how would you approach the problem?
Remember, every microsecond counts!
Edit:
I got this as an interview question, and like others commented, I
thought it should be done using one thread but it was not accepted.
I suggested to split the file in four and let each thread count one
part, but the interviewer insisted on a "true multithreaded
solution".

Programming Languages 

I have to sort a set of 100000 integers as a part of a programming
Q. The time limit is pretty restrictive, so I have to use the most
timeefficient approach possible.
My current code 
#include<cstdio>
#include<algorithm>
using namespace std;
int main() {
int n,d[100000],i;
for(i=0;i<n;++i) {
scanf("%d",&d[i]);
}
sort(d,d+n);
....
}
Would this approach be more efiicient?
int main() {
int n,d[100000],i;
for(i=0;i<n;++i) {
scanf("%d",&d[i]);
sort(d,d+i+1);
}
....
}
What is the most efficient way to sort a large dataset?
Note  Not homework...

Programming Languages 


