Coders Learning

📚 Dive into 5 FREE University Courses to Master Databases and SQL: 1. 🏛️ Cornell's Introduction to Databases: Explore SQL basics, NoSQL systems, and more with Prof. Trummer's comprehensive course. 🔗 Link: Part 1 🔗 Link: Part 2 2. 🌟 Harvard's Introduction to Databases with SQL: Get hands-on with relational databases in this 7-week course by Harvard University. 🔗 Link to Course 3. 🖥️ Stanford's Databases Course Series: Take a self-paced journey through relational databases, advanced SQL topics, OLAP, modeling, and more with Prof. Jennifer Widom. 🔗 Courses link: 1) Databases: Relational Databases and SQL 2) Databases: Advanced Topics in SQL 3) Databases: OLAP and Recursion 4) Databases: Modeling and Theory 5) Databases: Semistructured Data 4. 🌐 CMU's Intro to Database Systems: Delve deep into database internals, from storage and indexing to query optimization, with this course from Carnegie Mellon University. 🔗 Link to Course 5. 🚀 CMU's Advanced Database Systems: Specialize in database engineering with a focus on modern OLAP databases and analytical data warehouses. Explore topics like query execution, storage models, and more. 🔗 Link to Course Join @coderslearning for more! ✅ ENJOY LEARNING 👍 👍 #Databases #SQL #FreeCourses

🎓 Explore 5 FREE University Courses to Master Python Programming: 1. 🏛️ Harvard's CS50’s Introduction to Programming with Python: Start with basics, advance to object-oriented programming. 🔗 Link: https://cs50.harvard.edu/python/2022/ 2. 🌟 University of Michigan's Python for Everybody: Data structures, web scraping, and database management. 🔗 Link: https://m.youtube.com/watch?v=8DvywoWv6fI 3. 🖥️ MIT's Introduction to Computer Science and Programming with Python: Fundamentals for any field, from computation to recursion. 🔗 Link: https://ocw.mit.edu/courses/6-0001-introduction-to-computer-science-and-programming-in-python-fall-2016/pages/syllabus/ 4. 🌐 Stanford's CS106A: Programming Methodology: Problem-solving with variables, control flow, and memory management. 🔗 Link: https://web.stanford.edu/class/archive/cs/cs106a/cs106a.1226/ 5. 📊 CMU's Principles of Computation with Python: Dive into computing principles alongside Python, covering iteration to encryption methods. 🚀 🔗 Link: https://oli.cmu.edu/courses/principles-of-computation-with-python-open-free/ Join @coderslearning for more! ✅ ENJOY LEARNING 👍👍 #Python #FreeCourses #Coding

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100+ Practice Questions ❍ C/C++ ❍ Python ❍ JavaScript ❍ Java ❍ C# ❍ Golang ➊ Simple Numbers ➀ Find a digit at a specific place in a number ➁ Find count of digits in a number ➂ Find the largest digit ➃ Find the 2nd largest digit ➄ Find the kth largest digit ➅ Find the smallest digit ➆ Find the 2nd smallest digit ➇ Find the kth smallest digit ➈ Find generic root (sum of all digits) of a number ➉ Reverse the digits in a number ➀➀ Rotate the digits in a number ➀➁ Is the number a palindrome? ➀➂ Find sum of 'n' numbers ➀➃ Check if a number is perfect square ➀➄ Find a number in an AP sequence ➀➅ Find a number in a GP sequence ➀➆ Find a number in fibonacci sequence ➀➇ Check number divisibility by 2, 3, 5, 9 ➀➈ Check if a number is primary or not 20. Given a number, print all primes smaller than it ➁➀ Check if a number is circular prime or not ➁➁ Find all prime factors of a number ➁➂ Find the GCD of 2 numbers ➁➃ Find the LCM of 2 numbers ➁➄ Find the factorial of a number ➁➅ Find the exponentiation of a number ➋ Unit Conversion ➀ Number Base (Binary, Octal, Hexadecimal, Decimal) ➁ Weight (gram, kg, pound) ➂ Height (cm, m, inch, feet) ➃ Temperature (centigrade, fahrenhite) ➄ Distance (km, mile) ➅ Area (m², km², acre) ➆ Volume (ltr, gallon) ➇ Time (sec, min, hour) ➈ Currency ➌ Calculator ➀ Loan EMI Calculator ➁ Fixed Deposit Returns Calculator ➂ Interest Calculator ➃ BMI Calculator ➄ Item Price (considering tax, discount, shipping) ➅ Tip Calculator ➍ Geometry ➀ Find distance between 2 points ➁ Given 2 sides of a right angle triangle, find the 3rd ➂ Find 3rd angle of a triangle when 2 are given ➃ Area of a triangle when 3 sides are given ➄ Area of a right angle triangle ➅ Perimeter of a Square ➆ Area of a Square ➇ Perimeter of a Rectangle ➈ Area of a Rectangle ➉ Circumference of a Circle ➀➀ Area of a Circle ➀➁ Circumference of a Semi-Circle ➀➂ Area of a Semi-Circle ➀➃ Area of a Ring ➀➄ Circumference of an Ellipse ➀➅ Area of an Ellipse ➀➆ Suface Area of a Sphere ➀➇ Volume of a Sphere ➀➈ Surface Area of a Hemisphere 20. Volume of a Hemisphere ➁➀ Surface area of a Cube ➁➁ Volume of a Cube ➁➂ Surface area of a Cylinder ➁➃ Volume of a Cylinder ➎ Vector ➀ Find Scalar Multiplication of a vector ➁ Find addition/subtraction of vectors ➂ Find magnitude of a vector ➃ Find an unit vector along a given vector ➄ Find dot product of 2 vectors ➅ Find cross product of 2 vectors ➆ Check if 2 vectors are orthogonal ➏ Matrix ➀ Find the determinant of a matrix ➁ Find Scalar Multiplication of a matrix ➂ Find addition/subtraction of matrices ➃ Find the transpose of a matrix ➄ Find if 2 matrices are orthogonal ➅ Find inverse of a 2x2 and 3x3 matrix ➐ Set ➀ Find Union of 2 sets ➁ Find Intersection of 2 sets ➂ Find the Difference of 2 sets ➃ Find the Symmetric Difference of 2 sets ➄ Find if a set is subset/superset of another set ➅ Find if 2 sets are disjoints ➑ Special Numbers ➀ Strong Number ➁ Perfect Number ➂ Armstrong Number ➃ Harshad Number ➄ Kaprekar Number ➅ Lychrel Number ➆ Narcissistic Decimal Number ➇ Lucus Number ➈ Catalan Number ➉ Duck Number ➀➀ Ugly Number ➀➁ Abundant Number ➀➂ Deficient Number ➀➃ Automorphic Number ➀➄ Magic Number ➀➅ Friendly Pair Numbers ➀➆ Neon Number ➀➇ Spy Number ➀➈ Happy Number 20. Sunny Number ➁➀ Disarium Number ➁➁ Pronic Number ➁➂ Trimorphic Number ➁➃ Evil Number ➁➄ Amicable Pairs 🚥 Last Words ⬘ If you want to excel in programming, practice a lot. ⬙ Problems based on numbers are easy to start with and they help in improving your analytical skills. Join @coderslearning for more ✅ Share with your friends! 🚀 Happy Learning! 👍👍

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Typical Java Interview Questions sorted by experience Junior * Name some of the characteristics of OO programming languages * What are the access modifiers you know? What does each one do? * What is the difference between overriding and overloading a method in Java? * What’s the difference between an Interface and an abstract class? * Can an Interface extend another Interface? * What does the static word mean in Java? * Can a static method be overridden in Java? * What is Polymorphism? What about Inheritance? * Can a constructor be inherited? * Do objects get passed by reference or value in Java? Elaborate on that. * What’s the difference between using == and .equals on a string? * What is the hashCode() and equals() used for? * What does the interface Serializable do? What about Parcelable in Android? * Why are Array and ArrayList different? When would you use each? * What’s the difference between an Integer and int? * What is a ThreadPool? Is it better than using several “simple” threads? * What the difference between local, instance and class variables? Mid * What is reflection? * What is dependency injection? Can you name a few libraries? (Have you used any?) * What are strong, soft and weak references in Java? * What does the keyword synchronized mean? * Can you have “memory leaks” on Java? * Do you need to set references to null on Java/Android? * What does it means to say that a String is immutable? * What are transient and volatile modifiers? * What is the finalize() method? * How does the try{} finally{} works? * What is the difference between instantiation and initialisation of an object? * When is a static block run? * Why are Generics are used in Java? * Can you mention the design patterns you know? Which of those do you normally use? * Can you mention some types of testing you know? Senior * How does Integer.parseInt() works? * Do you know what is the “double check locking” problem? * Do you know the difference between StringBuffer and StringBuilder? * How is a StringBuilder implemented to avoid the immutable string allocation problem? * What does Class.forName method do? * What is Autoboxing and Unboxing? * What’s the difference between an Enumeration and an Iterator? * What is the difference between fail-fast and fail safe in Java? * What is PermGen in Java? * What is a Java priority queue? * *s performance influenced by using the same number in different types: Int, Double and Float? * What is the Java Heap? * What is daemon thread? * Can a dead thread be restarted? Join @coderslearning for more ✅ Enjoy Learning 👍👍

In SQL interviews, candidates are often asked about the following topics: Basic SQL commands: Candidates may be asked to write basic SQL commands to retrieve, update, or delete data from a database. Joins: Understanding different types of joins (e.g., inner join, outer join, left join, right join) and how to use them effectively. Subqueries: Writing and understanding subqueries to retrieve specific data from a database. Indexes: Understanding the purpose of indexes in a database and how they can improve query performance. Normalization: Knowledge of database normalization and its importance in database design. Constraints: Understanding different types of constraints (e.g., primary key, foreign key, unique constraint) and how they are used to maintain data integrity. Aggregation functions: Knowledge of aggregation functions such as SUM, AVG, COUNT, MAX, and MIN, and how they are used in SQL queries. Data manipulation language (DML) and data definition language (DDL): Understanding the difference between DML and DDL and being able to write queries using both. Performance tuning: Understanding how to optimize SQL queries for better performance, including using indexes, avoiding correlated subqueries, and minimizing data retrieval. Stored procedures and functions: Knowledge of creating and using stored procedures and functions in SQL. These are some common topics that are often covered in SQL interviews. It's important for candidates to have a solid understanding of these concepts and be able to apply them in practical scenarios. Join @coderslearning for more ✅ Share this post if you need more!❤️ Hope it helps :)

SQL for Data Analysis: 30 commonly asked questions in database management system (DBMS) interviews 👇👇 1. What is a DBMS? 2. Differentiate between DBMS and RDBMS. 3. What are the advantages and disadvantages of using a DBMS? 4. Explain the three levels of data abstraction in DBMS. 5. What is a database schema? 6. Define normalization and its importance in database design. 7. What are the different types of database models? 8. What is ACID (Atomicity, Consistency, Isolation, Durability) in DBMS? 9. What is a primary key, and why is it important? 10. Explain the concept of foreign keys. 11. Differentiate between a candidate key, primary key, and super key. 12. What is a transaction in a database? 13. Describe the differences between DELETE, TRUNCATE, and DROP commands. 14. What is a view in a database? 15. Explain indexing in databases. 16. What is a stored procedure? 17. What are the advantages of using stored procedures? 18. Describe the differences between clustered and non-clustered indexes. 19. What is a deadlock in DBMS? 20. How can you avoid deadlocks in a database? 21. What is data redundancy, and how can it be minimized? 22. What is a trigger in a database? 23. Describe the different types of joins in SQL. 24. What is a constraint in a database? 25. Explain the differences between a unique key and a primary key. 26. How does SQL differ from NoSQL databases? 27. What is the CAP theorem, and how does it relate to databases? 28. Explain the concept of data warehousing. 29. What are OLTP and OLAP, and how do they differ? 30. How would you approach database performance tuning and optimization?

𝟮𝟬 𝗦𝗤𝗟 𝗾𝘂𝗲𝗿𝘆 𝗼𝗽𝘁𝗶𝗺𝗶𝘇𝗮𝘁𝗶𝗼𝗻 𝘁𝗲𝗰𝗵𝗻𝗶𝗾𝘂𝗲𝘀 Below are the SQL query optimization techniques that I found to be significant, listed in the top 20: 1. Create an index on huge tables (>1.000.000) rows 2. Use EXIST() instead of COUNT() to find an element in the table 3. SELECT fields instead of using SELECT * 4. Avoid Subqueries in WHERE Clause 5. Avoid SELECT DISTINCT where possible 6. Use WHERE Clause instead of HAVING 7. Create joins with INNER JOIN (not WHERE) 8. Use LIMIT to sample query results 9. Use UNION ALL instead of UNION wherever possible 10. Use UNION where instead of WHERE ... or ... query. 11. Run your query during off-peak hours 12. Avoid using OR in join queries 14. Choose GROUP BY over window functions 15. Use derived and temporary tables 16. Drop the index before loading bulk data 16. Use materialized views instead of views 17. Avoid != or <> (not equal) operator 18. Minimize the number of subqueries 19. Use INNER join as little as possible when you can get the same output using LEFT/RIGHT join. 20. Frequently try to use temporary sources to retrieve the same dataset. Join @coderslearning for more ✅ Like this post if you need more!❤️ Hope it helps :)

Complete Roadmap to learn SQL 👇👇 Step 1: Basics of SQL 1. Learn SQL syntax, keywords, and basic commands (SELECT, FROM, WHERE). 2. Practice querying data from a single table. 3. Understand data types, NULL values, and basic functions (COUNT, SUM, AVG). 4. Experiment with simple filtering and sorting. Step 2: Intermediate SQL 1. Dive deeper into SQL with JOIN operations (INNER JOIN, LEFT JOIN, RIGHT JOIN). 2. Learn about subqueries and correlated subqueries. 3. Practice using aggregate functions (GROUP BY, HAVING) for data summarization. 4. Explore table creation, modification, and deletion commands (CREATE, ALTER, DROP). Step 3: Advanced SQL 1. Master advanced SQL concepts such as window functions and common table expressions (CTEs). 2. Learn about indexing and optimization techniques for query performance. 3. Practice writing complex queries involving multiple joins and subqueries. 4. Explore advanced topics like stored procedures, triggers, and transactions. Join @coderslearning for more ✅ Share this post if you need more! ❤️ Hope it helps :)

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