Artificial Intelligence & ChatGPT Prompts

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🔹 Placement Ready in 3 Months! 🔹 1. Month 1: Aptitude - Quantitative Aptitude, Logical Reasoning, Verbal Ability - Daily practice and mock tests 2. Month 1 & 2: Course Fundamentals - OOPS, DBMS, OS, CN, Java, C++ - Study plan and resources 3. Months 1, 2, & 3: Coding - Data Structures and Algorithms (DSA) - Practice on platforms like Hackerrank, Codechef, and Leetcode 4. Projects, Skills, and Internships - Full-stack or ML projects - Internship experiences and interview prep 5. Month 3: Mock Interviews - Practice with Pramp and peers Top Coding Interview Resources to prepare for Microsoft, Amazon, Meta, Apple, Adobe, VMware, Visa, Twitter, LinkedIn, JP Morgan, Goldman Sachs, Oracle and Walmart 👇👇 https://topmate.io/coding/951517 All the best 👍👍

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On Reddit, someone collected all the resources they used to prepare for interviews on algorithms, system design, and machine coding. In the end, they made it to a Google interview. 1. Algorithms and Patterns Before grinding on problems, it's worth understanding the patterns. • All LeetCode Articles on Coding Patterns Summarized https://leetcode.com/discuss/interview-question/5366542/all-leetcode-articles-on-coding-patterns-summarized-in-one-page • Solved All Two Pointers Problems in 100 Days https://leetcode.com/discuss/study-guide/1688903/Solved-all-two-pointers-problems-in-100-days • Tree Question Pattern 2023 — Tree Study Guide https://leetcode.com/discuss/study-guide/2879240/tree-question-pattern-2023-tree-study-guide • Important and Useful Links from All Over LeetCode https://leetcode.com/discuss/general-discussion/665604/Important-and-Useful-links-from-all-over-the-LeetCode • Coding Interview Preparation Problems for Beginners https://leetcode.com/discuss/interview-question/448284/Coding-Interview-preparation-problems-for-beginners 2. Preparation for Companies • Google, Meta, Apple, Amazon Senior SDE Preparation https://prachub.com/?sort=hot&company=Meta%2CGoogle%2CTikTok%2CAmazon • A Study Guide for Passing the Google Interview https://prachub.com/interview-guide The author also made a small tracker for preparation: • company-specific questions • Todo / Solved / Revision statuses • automatic repetition scheduling • AI assistant with hints instead of ready-made solutions https://prachub.com/questions 3. System Design (HLD) Instead of random articles — structured collections: • Arch 25 — the most common systems and patterns • Arch 50 — infrastructure, data, and fault tolerance • Arch 75 — more complex scenarios and company-specific specialization • Arch All — a full bank of 103 HLD tasks • Core Concepts — 33 breakdowns of distributed systems 4. Machine Coding / LLD Many underestimate this part until their first interview failure. • MaCo 30 — the most common tasks • MaCo 60 — an extended collection • MaCo All — a full set of 103 tasks • Design Patterns — 31 design patterns

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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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30-day roadmap to learn Python up to an intermediate level Week 1: Python Basics *Day 1-2:* - Learn about Python, its syntax, and how to install Python on your computer. - Write your first "Hello, World!" program. - Understand variables and data types (integers, floats, strings). *Day 3-4:* - Explore basic operations (arithmetic, string concatenation). - Learn about user input and how to use the input() function. - Practice creating and using variables. *Day 5-7:* - Dive into control flow with if statements, else statements, and loops (for and while). - Work on simple programs that involve conditions and loops. Week 2: Functions and Modules *Day 8-9:* - Study functions and how to define your own functions using def. - Learn about function arguments and return values. *Day 10-12:* - Explore built-in functions and libraries (e.g., len(), random, math). - Understand how to import modules and use their functions. *Day 13-14:* - Practice writing functions for common tasks. - Create a small project that utilizes functions and modules. Week 3: Data Structures *Day 15-17:* - Learn about lists and their operations (slicing, appending, removing). - Understand how to work with lists of different data types. *Day 18-19:* - Study dictionaries and their key-value pairs. - Practice manipulating dictionary data. *Day 20-21:* - Explore tuples and sets. - Understand when and how to use each data structure. Week 4: Intermediate Topics *Day 22-23:* - Study file handling and how to read/write files in Python. - Work on projects involving file operations. *Day 24-26:* - Learn about exceptions and error handling. - Explore object-oriented programming (classes and objects). *Day 27-28:* - Dive into more advanced topics like list comprehensions and generators. - Study Python's built-in libraries for web development (e.g., requests). *Day 29-30:* - Explore additional libraries and frameworks relevant to your interests (e.g., NumPy for data analysis, Flask for web development, or Pygame for game development). - Work on a more complex project that combines your knowledge from the past weeks. Throughout the 30 days, practice coding daily, and don't hesitate to explore Python's documentation and online resources for additional help. Learning Python is a dynamic process, so adapt the roadmap based on your progress and interests. Best Programming Resources: https://topmate.io/coding/886839 ENJOY LEARNING 👍👍

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