Coding Interview Resources

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Most Asked SQL Interview Questions at MAANG Companies🔥🔥 Preparing for an SQL Interview at MAANG Companies? Here are some crucial SQL Questions you should be ready to tackle: 1. How do you retrieve all columns from a table? SELECT * FROM table_name; 2. What SQL statement is used to filter records? SELECT * FROM table_name WHERE condition; The WHERE clause is used to filter records based on a specified condition. 3. How can you join multiple tables? Describe different types of JOINs. SELECT columns FROM table1 JOIN table2 ON table1.column = table2.column JOIN table3 ON table2.column = table3.column; Types of JOINs: 1. INNER JOIN: Returns records with matching values in both tables SELECT * FROM table1 INNER JOIN table2 ON table1.column = table2.column; 2. LEFT JOIN: Returns all records from the left table & matched records from the right table. Unmatched records will have NULL values. SELECT * FROM table1 LEFT JOIN table2 ON table1.column = table2.column; 3. RIGHT JOIN: Returns all records from the right table & matched records from the left table. Unmatched records will have NULL values. SELECT * FROM table1 RIGHT JOIN table2 ON table1.column = table2.column; 4. FULL JOIN: Returns records when there is a match in either left or right table. Unmatched records will have NULL values. SELECT * FROM table1 FULL JOIN table2 ON table1.column = table2.column; 4. What is the difference between WHERE & HAVING clauses? WHERE: Filters records before any groupings are made. SELECT * FROM table_name WHERE condition; HAVING: Filters records after groupings are made. SELECT column, COUNT(*) FROM table_name GROUP BY column HAVING COUNT(*) > value; 5. How do you calculate average, sum, minimum & maximum values in a column? Average: SELECT AVG(column_name) FROM table_name; Sum: SELECT SUM(column_name) FROM table_name; Minimum: SELECT MIN(column_name) FROM table_name; Maximum: SELECT MAX(column_name) FROM table_name; Here you can find essential SQL Interview Resources👇 https://t.me/mysqldata Like this post if you need more 👍❤️ Hope it helps :)

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🔰 Solve the "Two sum" problem in python

Best Resources for Tech Interviews

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Type of problem, while solving DSA problem in Array ❗ There are many types of problems that can be solved using arrays and different techniques in Data Structures and Algorithms. Here are some common problem types and techniques that you might encounter: 𝟏. 𝐒𝐥𝐢𝐝𝐢𝐧𝐠 𝐰𝐢𝐧𝐝𝐨𝐰 𝐩𝐫𝐨𝐛𝐥𝐞𝐦𝐬: In these problems, you are given an array and a window size, and you have to find a subarray of that size that satisfies certain conditions. You can use a sliding window technique to efficiently search through the array by maintaining a current window of fixed size and updating it as you move forward. 𝟐. 𝐓𝐰𝐨 𝐩𝐨𝐢𝐧𝐭𝐞𝐫 𝐩𝐫𝐨𝐛𝐥𝐞𝐦𝐬: In these problems, you use two pointers to traverse the array from both ends and find a certain pattern or condition. For example, you can use two pointers to find a pair of elements that sum up to a target value, or to reverse an array. 𝟑. 𝐒𝐨𝐫𝐭𝐢𝐧𝐠 𝐩𝐫𝐨𝐛𝐥𝐞𝐦𝐬: In these problems, you are asked to sort an array in a certain way, such as in ascending or descending order, or according to certain criteria such as frequency or value. You can use sorting algorithms such as merge sort or quick sort to efficiently sort the array. 𝟒. 𝐒𝐞𝐚𝐫𝐜𝐡𝐢𝐧𝐠 𝐩𝐫𝐨𝐛𝐥𝐞𝐦𝐬: In these problems, you are asked to find a specific element in the array or to search for a certain pattern. You can use searching algorithms such as binary search or linear search to efficiently search through the array. 𝟓. 𝐒𝐮𝐛𝐚𝐫𝐫𝐚𝐲 𝐩𝐫𝐨𝐛𝐥𝐞𝐦𝐬: In these problems, you are asked to find a contiguous subarray that satisfies certain conditions. You can use techniques such as prefix sum or Kadane's algorithm to efficiently find the subarray with the maximum sum. 𝟔. 𝐂𝐨𝐮𝐧𝐭𝐢𝐧𝐠 𝐩𝐫𝐨𝐛𝐥𝐞𝐦𝐬: In these problems, you are asked to count the occurrences of certain elements or to count the number of subarrays or subsequences that satisfy certain conditions. You can use techniques such as hashing or dynamic programming to efficiently count the occurrences or number of subarrays.

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💡 Tips to Crack Top Tech Companies using LeetCode 💻 Are you aiming to crack top tech companies? Here are some tips on how to effectively use the LeetCode platform to enhance your problem-solving skills and increase your chances of success: 1️⃣ Quality > Quantity ✅ Rather than focusing on solving a large number of problems, prioritize the quality of your solutions. It's better to solve a particular Data Structures and Algorithms (DSA) sheet thoroughly and revise it until you can build up the logic on your own. Consider using resources like the Striver Sheet or Grind 75 to guide your practice. 2️⃣ Maintain an Error Sheet ✅ Create an error sheet to keep track of the questions you've solved and the mistakes you've made while solving them. By reviewing this sheet regularly, you can identify common errors and strive to avoid repeating them. This practice will significantly improve your problem-solving skills over time. 3️⃣ Solve Top Interview Questions ✅ When preparing for a specific company's interview, focus on solving recent LeetCode questions that are tagged with that company's name. This way, you'll be familiar with the types of problems the company typically asks and be better prepared for the interview. 4️⃣ For Beginners ✅ If you're new to problem-solving, it's advisable to start with Easy-level problems before moving on to Medium or Hard ones. Aim to solve at least 25 problems in the Easy category before challenging yourself with more complex ones. This approach helps build a strong foundation and boosts your confidence. 5️⃣ Practice Weak Topics Regularly ✅ Identify the topics or problem types that you find challenging or fear the most. For example, if you struggle with graph problems, make it a habit to solve at least one graph problem every day. Regular practice in your weaker areas will help you improve your skills and boost your overall performance. 6️⃣ Don't Ignore Acceptance Level ✅ When browsing problems on LeetCode, consider sorting them by acceptance level. Prioritizing problems with a higher acceptance rate increases the likelihood of successfully solving them. This strategy allows you to build confidence by tackling problems that have been well-received by other users. 7️⃣ Don't Ignore Other Solutions ✅ Even if your solution is correct and accepted, don't overlook the opportunity to learn from others. Explore alternative solutions to the same problem. This practice exposes you to different approaches, algorithms, and optimizations, enabling you to discover new and efficient ways of solving problems. 8️⃣ Consistency is the Key ✅ Maintain a consistent practice schedule to make steady progress. Dedicate a block of time, such as 2-3 hours each day, to solve LeetCode problems. Additionally, set aside a specific day, like Saturdays, for weekly revisions. Consistency and regular practice will sharpen your problem-solving skills and increase your chances of cracking top tech company interviews. Good luck with your LeetCode journey! 🚀