Python
Categories:
Code Problem / Data Structures and Algorithms / Recursion (32)
Code Problem / Data Structures and Algorithms / Binary Search (30)
Code Problem / Data Structures and Algorithms / Linked Lists (26)
Code Problem / Data Structures and Algorithms / Backtracking (26)
Code Problem / Data Structures and Algorithms / Stacks and Queues (25)
Code Problem / Data Structures and Algorithms / Hashing (24)
Databases / SQL / Backup and Recovery (19)
Code Problem / Data Structures and Algorithms / Arrays and Strings (19)
Databases / SQL / Database Normalization (18)
Code Problem / Data Structures and Algorithms / Time Complexity (17)
Databases / SQL / Locking (16)
Databases / SQL / Replication (15)
Databases / SQL / SQL Queries (13)
Code Problem / Data Structures and Algorithms / Graphs (13)
Databases / SQL / Database Security (13)
More...
Recent solutions:
Check these solutions from our community:
This problem involves finding the sum of the digits of a list of integers. For example, given the input list [12, 34, 56], the output would be [3, 7, 11].
About this solution: The candidate's solution is optimal because it uses list comprehension to iterate over the list of numbers and sum the digits of each number. The solution is also optimal because it uses a generator expression to iterate over the digits of each number. The solution is also optimal because it uses the built-in sum function to sum the digits of each number. The solution is also optimal because it uses the built-in int function to convert each digit to an integer. The solution is also optimal because it uses the built-in str function to convert each number to a string.
This Python function checks whether a given list of integers contains any duplicate elements.
About this solution: This solution correctly detects whether or not a list contains duplicate elements. The approach is straightforward and easy to understand.
This technical problem involves writing a Python script to take a list of numbers and output the sum of all the numbers in the list.
About this solution: The candidate's solution correctly calculates the sum of a list of numbers. However, the solution is not very robust - it only works for a specific input (a list of numbers) and does not account for other possible inputs. In addition, the solution does not account for edge cases, such as an empty list.
To find the sum of a list of integers, simply add all the numbers in the list together. In the example given, the sum would be 15.
About this solution: The candidate's solution is correct and uses the built-in sum function, which is an optimal solution.
This technical problem deals with adding elements in an array in Python. Given an array of integers, the goal is to return the sum of the elements in the array. An example input would be [1, 2, 3] and the corresponding output would be 6.
About this solution: The candidate's solution is correct and uses the built-in sum function, which has a time complexity of O(n).
Find the sum of all elements in a list. This can be done in Python by iterating through the list and adding each element to a total.
About this solution: This solution is correct and efficient. The candidate has used the built-in sum function, which is the most efficient way to sum a list.
This problem asks the user to write a function that takes in a list of integers and returns the sum of the integers that are divisible by 3. An example input and output are given.
About this solution: The candidate's solution correctly solves the problem. They iterate through the list and add the numbers divisible by 3 to a sum variable. They then return the sum variable. This is a solid solution that is easy to understand.
This program finds the longest word in a list of words.
About this solution: The candidate's solution is correct and uses an optimal approach. The candidate correctly uses the built-in function max() to find the longest word in the list. The candidate also correctly uses a lambda function as the key function to determine the longest word in the list.