PROFILE
Check out all the problems this user has already solved.
Problem | Problem Name | Ranking | Submission | Language | Runtime | Submission Date |
---|---|---|---|---|---|---|
1037 | Interval | 01518º | 29455119 | C# | 0.009 | 8/25/22, 3:01:28 PM |
2617 | Provider Ajax SA | 00787º | 13636627 | PostgreSQL | 0.001 | 4/8/19, 4:56:31 PM |
2616 | No Rental | 00829º | 13636438 | PostgreSQL | 0.001 | 4/8/19, 2:50:16 PM |
2615 | Expanding the Business | 03166º | 13634705 | PostgreSQL | 0.002 | 4/8/19, 2:47:38 PM |
1036 | Bhaskara's Formula | 09107º | 10952845 | Python 3 | 0.020 | 7/17/18, 3:49:55 PM |
1035 | Selection Test 1 | 16181º | 10905347 | Python 3 | 0.028 | 7/10/18, 7:16:56 PM |
2614 | September Rentals | 01164º | 10873398 | PostgreSQL | 0.002 | 7/5/18, 2:18:14 PM |
2613 | Cheap Movies | 00006º | 10867326 | PostgreSQL | 0.001 | 7/4/18, 9:16:32 PM |
2612 | The Actors Silva | 00514º | 10867282 | PostgreSQL | 0.002 | 7/4/18, 9:10:12 PM |
2611 | Action Movies | 00415º | 10867123 | PostgreSQL | 0.001 | 7/4/18, 8:48:12 PM |
2610 | Average Value of Products | 00017º | 10867095 | PostgreSQL | 0.001 | 7/4/18, 8:44:50 PM |
2609 | Products by Categories | 00918º | 10866969 | PostgreSQL | 0.001 | 7/4/18, 8:29:35 PM |
2608 | Higher and Lower Price | 02840º | 10866798 | PostgreSQL | 0.001 | 7/4/18, 8:00:32 PM |
2607 | Providers' City in... | 02336º | 10866688 | PostgreSQL | 0.001 | 7/4/18, 7:48:45 PM |
2606 | Categories | 00531º | 10866630 | PostgreSQL | 0.001 | 7/4/18, 7:41:11 PM |
2605 | Executive Representatives | 00731º | 10866506 | PostgreSQL | 0.001 | 7/4/18, 7:15:08 PM |
2604 | Under 10 or Greater Than 100 | 04782º | 10866312 | PostgreSQL | 0.002 | 7/4/18, 7:07:26 PM |
2603 | Customer Address | 01185º | 10866300 | PostgreSQL | 0.001 | 7/4/18, 6:49:22 PM |
2602 | Basic Select | 00465º | 10866153 | PostgreSQL | 0.001 | 7/4/18, 6:46:07 PM |
1019 | Time Conversion | 09574º | 10857772 | Python 3 | 0.016 | 7/3/18, 3:33:36 PM |
1018 | Banknotes | 08930º | 10850371 | Python 3 | 0.016 | 7/2/18, 1:09:44 PM |
1017 | Fuel Spent | 10270º | 10850210 | Python 3 | 0.016 | 7/2/18, 12:37:17 PM |
1016 | Distance | 12494º | 10833180 | Python 3 | 0.020 | 6/29/18, 6:49:58 PM |
1015 | Distance Between Two Points | 10290º | 10833056 | Python 3 | 0.016 | 6/29/18, 6:35:41 PM |
1014 | Consumption | 09852º | 10832759 | Python 3 | 0.012 | 6/29/18, 5:30:42 PM |
1013 | The Greatest | 10269º | 10832348 | Python 3 | 0.016 | 6/29/18, 5:05:19 PM |
1012 | Area | 10844º | 10831898 | Python 3 | 0.016 | 6/29/18, 3:21:12 PM |
1011 | Sphere | 12281º | 10831787 | Python 3 | 0.016 | 6/29/18, 3:04:23 PM |
1010 | Simple Calculate | 12054º | 10831715 | Python 3 | 0.016 | 6/29/18, 2:52:10 PM |
1009 | Salary with Bonus | 16015º | 10831634 | Python 3 | 0.016 | 6/29/18, 2:39:36 PM |
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