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SQL From Basic to Advanced level Basic SQL is ONLY 7 commands: - SELECT - FROM - WHERE (also use SQL comparison operators such as =, <=, >=, <> etc.) - ORDER BY - Aggregate functions such as SUM, AVERAGE, COUNT etc. - GROUP BY - CREATE, INSERT, DELETE, etc. You can do all this in just one morning. Once you know these, take the next step and learn commands like: - LEFT JOIN - INNER JOIN - LIKE - IN - CASE WHEN - HAVING (undertstand how it's different from GROUP BY) - UNION ALL This should take another day. Once both basic and intermediate are done, start learning more advanced SQL concepts such as: - Subqueries (when to use subqueries vs CTE?) - CTEs (WITH AS) - Stored Procedures - Triggers - Window functions (LEAD, LAG, PARTITION BY, RANK, DENSE RANK) These can be done in a couple of days. Learning these concepts is NOT hard at all - what takes time is practice and knowing what command to use when. How do you master that? - First, create a basic SQL project - Then, work on an intermediate SQL project (search online) - Lastly, create something advanced on SQL with many CTEs, subqueries, stored procedures and triggers etc. This is ALL you need to become a badass in SQL, and trust me when I say this, it is not rocket science. It's just logic. Join @coderslearning for more free resources. Like this post if it helps 😄❤️ Enjoy Learning 👍

SQL From Basic to Advanced level Basic SQL is ONLY 7 commands: - SELECT - FROM - WHERE (also use SQL comparison operators such as =, <=, >=, <> etc.) - ORDER BY - Aggregate functions such as SUM, AVERAGE, COUNT etc. - GROUP BY - CREATE, INSERT, DELETE, etc. You can do all this in just one morning. Once you know these, take the next step and learn commands like: - LEFT JOIN - INNER JOIN - LIKE - IN - CASE WHEN - HAVING (undertstand how it's different from GROUP BY) - UNION ALL This should take another day. Once both basic and intermediate are done, start learning more advanced SQL concepts such as: - Subqueries (when to use subqueries vs CTE?) - CTEs (WITH AS) - Stored Procedures - Triggers - Window functions (LEAD, LAG, PARTITION BY, RANK, DENSE RANK) These can be done in a couple of days. Learning these concepts is NOT hard at all - what takes time is practice and knowing what command to use when. How do you master that? - First, create a basic SQL project - Then, work on an intermediate SQL project (search online) - Lastly, create something advanced on SQL with many CTEs, subqueries, stored procedures and triggers etc. This is ALL you need to become a badass in SQL, and trust me when I say this, it is not rocket science. It's just logic. Join @coderslearning for more free resources. Like this post if it helps 😄❤️ Enjoy Learning 👍

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What will be the output of Python code? 🤔 Options: a) Even b) Odd c) 7 d) 14 Comment Output Below 😁👇

Complete DSA Roadmap |-- Basic_Data_Structures | |-- Arrays | |-- Strings | |-- Linked_Lists | |-- Stacks | └─ Queues | |-- Advanced_Data_Structures | |-- Trees | | |-- Binary_Trees | | |-- Binary_Search_Trees | | |-- AVL_Trees | | └─ B-Trees | | | |-- Graphs | | |-- Graph_Representation | | | |- Adjacency_Matrix | | | └ Adjacency_List | | | | | |-- Depth-First_Search | | |-- Breadth-First_Search | | |-- Shortest_Path_Algorithms | | | |- Dijkstra's_Algorithm | | | └ Bellman-Ford_Algorithm | | | | | └─ Minimum_Spanning_Tree | | |- Prim's_Algorithm | | └ Kruskal's_Algorithm | | | |-- Heaps | | |-- Min_Heap | | |-- Max_Heap | | └─ Heap_Sort | | | |-- Hash_Tables | |-- Disjoint_Set_Union | |-- Trie | |-- Segment_Tree | └─ Fenwick_Tree | |-- Algorithmic_Paradigms | |-- Brute_Force | |-- Divide_and_Conquer | |-- Greedy_Algorithms | |-- Dynamic_Programming | |-- Backtracking | |-- Sliding_Window_Technique | |-- Two_Pointer_Technique | └─ Divide_and_Conquer_Optimization | |-- Merge_Sort_Tree | └─ Persistent_Segment_Tree | |-- Searching_Algorithms | |-- Linear_Search | |-- Binary_Search | |-- Depth-First_Search | └─ Breadth-First_Search | |-- Sorting_Algorithms | |-- Bubble_Sort | |-- Selection_Sort | |-- Insertion_Sort | |-- Merge_Sort | |-- Quick_Sort | └─ Heap_Sort | |-- Graph_Algorithms | |-- Depth-First_Search | |-- Breadth-First_Search | |-- Topological_Sort | |-- Strongly_Connected_Components | └─ Articulation_Points_and_Bridges | |-- Dynamic_Programming | |-- Introduction_to_DP | |-- Fibonacci_Series_using_DP | |-- Longest_Common_Subsequence | |-- Longest_Increasing_Subsequence | |-- Knapsack_Problem | |-- Matrix_Chain_Multiplication | └─ Dynamic_Programming_on_Trees | |-- Mathematical_and_Bit_Manipulation_Algorithms | |-- Prime_Numbers_and_Sieve_of_Eratosthenes | |-- Greatest_Common_Divisor | |-- Least_Common_Multiple | |-- Modular_Arithmetic | └─ Bit_Manipulation_Tricks | |-- Advanced_Topics | |-- Trie-based_Algorithms | | |-- Auto-completion | | └─ Spell_Checker | | | |-- Suffix_Trees_and_Arrays | |-- Computational_Geometry | |-- Number_Theory | | |-- Euler's_Totient_Function | | └─ Mobius_Function | | | └─ String_Algorithms | |-- KMP_Algorithm | └─ Rabin-Karp_Algorithm | |-- OnlinePlatforms | |-- LeetCode | |-- HackerRank

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What will be the output of C - Program? 🤔 Options: a) Result: 4 b) Result: 3 c) Result: 6 d) Result: 2 Comment Output Below 😁👇

SQL interview questions with answers 😄👇 1. Question: What is SQL? Answer: SQL (Structured Query Language) is a programming language designed for managing and manipulating relational databases. It is used to query, insert, update, and delete data in databases. 2. Question: Differentiate between SQL and MySQL. Answer: SQL is a language for managing relational databases, while MySQL is an open-source relational database management system (RDBMS) that uses SQL as its language. 3. Question: Explain the difference between INNER JOIN and LEFT JOIN. Answer: INNER JOIN returns rows when there is a match in both tables, while LEFT JOIN returns all rows from the left table and the matched rows from the right table, filling in with NULLs for non-matching rows. 4. Question: How do you remove duplicate records from a table? Answer: Use the DISTINCT keyword in a SELECT statement to retrieve unique records. For example: SELECT DISTINCT column1, column2 FROM table; 5. Question: What is a subquery in SQL? Answer: A subquery is a query nested inside another query. It can be used to retrieve data that will be used in the main query as a condition to further restrict the data to be retrieved. 6. Question: Explain the purpose of the GROUP BY clause. Answer: The GROUP BY clause is used to group rows that have the same values in specified columns into summary rows, like when using aggregate functions such as COUNT, SUM, AVG, etc. 7. Question: How can you add a new record to a table? Answer: Use the INSERT INTO statement. For example: INSERT INTO table_name (column1, column2) VALUES (value1, value2); 8. Question: What is the purpose of the HAVING clause? Answer: The HAVING clause is used in combination with the GROUP BY clause to filter the results of aggregate functions based on a specified condition. 9. Question: Explain the concept of normalization in databases. Answer: Normalization is the process of organizing data in a database to reduce redundancy and improve data integrity. It involves breaking down tables into smaller, related tables. 10. Question: How do you update data in a table in SQL? Answer: Use the UPDATE statement to modify existing records in a table. For example: UPDATE table_name SET column1 = value1 WHERE condition; Hope it helps :)