Practice Coding Problems

Chat-GPT can provide you with coding problems related to your field. You can ask it to provide you with practice problems, along with solutions and explanations. This can help you improve your coding skills and prepare for coding challenges that you might encounter in your interview.

Example 1: Suppose we want chat-GPT to generate a list of coding problems with links of practice portal of w3wiki, then we can do that using following steps:

STEP 1: Provide the Clear & Crisp Problem Statement so that it’s easier for the AI to understand the problem and there should be no scope of confusion here.

Command: Give me a list of 20 coding problems of Binary Search topic with Practice link

STEP 2: Chat-GPT will generate the best results:

Below is the Image of Generated Result:

Practice Coding Problems

Result: 

1. Implement Binary Search: https://www.w3wiki.org/problems/binary-search/1
2. Find square root of an integer using Binary Search: https://www.w3wiki.org/problems/square-root/1
3. Count the number of occurrences in a sorted array: https://www.w3wiki.org/problems/number-of-occurrence/1
4. Search in a Rotated Sorted Array: https://www.w3wiki.org/problems/search-in-a-rotated-array/0
5. Median of two sorted arrays: https://www.w3wiki.org/problems/median-of-two-sorted-arrays/0
6. Find the first and last occurrence of an element in a sorted array: https://www.w3wiki.org/problems/first-and-last-occurrences-of-x/0
7. Counting Elements in Two Arrays: https://www.w3wiki.org/problems/counting-elements-in-two-arrays/1
8. Allocate minimum number of pages: https://www.w3wiki.org/problems/allocate-minimum-number-of-pages/1
9. Find Peak Element: https://www.w3wiki.org/problems/peak-element/1
10. Search in Row-wise and Column-wise Sorted Matrix: https://www.w3wiki.org/problems/search-in-a-matrix/1
11. Find the maximum element in an increasing and decreasing array: https://www.w3wiki.org/problems/maximum-element-in-bitonic-array/0
12. Aggressive Cows: https://www.w3wiki.org/problems/aggressive-cows/0
13. Find the maximum element in a sorted and rotated array: https://www.w3wiki.org/problems/maximum-value-in-a-bitonic-array/1
14. Count number of bits to be flipped to convert A to B: https://www.w3wiki.org/problems/bit-difference/1
15. Divide Chocolate: https://www.w3wiki.org/problems/divide-chocolate/0
16. Binary search in an almost sorted array: https://www.w3wiki.org/problems/search-in-an-almost-sorted-array/0
17. Find the element that appears once in sorted array and rest element appears twice: https://www.w3wiki.org/problems/find-the-element-that-appears-once-in-sorted-array/0
18. Search in a nearly sorted array: https://www.w3wiki.org/problems/search-in-a-nearly-sorted-array/0
19. Rotating an array: https://www.w3wiki.org/problems/reversal-algorithm/0
20. K-th element of two sorted arrays: https://www.w3wiki.org/problems/k-th-element-of-two-sorted-array/0

As we can clearly seen that the Chat-GPT has generated the expected output we have asked chat-GPT to generate a list of Coding problems hyperlinked with w3wiki practice portal.

• So we got 20 Problems based on topic of binary search attached with practice portal link of w3wiki.

Example 2: Suppose we want Chat-GPT to explain any practice problems, along with solutions and explanations.

STEP 1: Provide the Clear & Crisp Problem Statement so that it’s easier for the AI to understand the problem and there should be no scope of confusion here.

Command: 

Problem Statement: Count the number of occurrences in a sorted array.
Link:  https://www.w3wiki.org/problems/number-of-occurrence/1
Explain the problem statement along with solution and complexity analysis.

STEP 2: Chat-GPT will generate the best results:

Below is the Image of Generated Result:

Practice Coding Problems

In above Image, Chat-GPT has explained the Problem Statement First

Then, Moving towards solution, we got the approach to solve the problem statement.

Practice Coding Problems

In the above Image, Chat-GPT has covered the Implementation of the algorithm in python language along with the complexity analysis of the .

Preparing for technical interviews can be a challenging task, as it requires a combination of technical knowledge, problem–solving skills, and effective communication. However, with the help of Chat-GPT, a language model developed by Open-AI, you can prepare for technical interviews more efficiently and effectively. 

In this article, we will explore several ways to use Chat-GPT to prepare for technical interviews, including asking technical interview questions, practicing coding problems, asking for tips and advice, practicing mock interviews, researching the company, improving communication skills, and practicing time management.

By using Chat-GPT, students can learn at their own pace and in a format that suits their learning style. They can ask questions and receive answers immediately, without having to wait for a teacher or tutor to become available.