Common Programming Interview Questions
How do you reverse a string?
How do you determine if a string is a palindrome?
How do you calculate the number of numerical digits in a string?
How do you find the count for the occurrence of a particular character in a string?
How do you find the non-matching characters in a string?
How do you find out if the two given strings are anagrams?
How do you calculate the number of vowels and consonants in a string?
How do you total all of the matching integer elements in an array?
How do you reverse an array?
How do you find the maximum element in an array?
How do you sort an array of integers in ascending order?
How do you print a Fibonacci sequence using recursion?
How do you calculate the sum of two integers?
How do you find the average of numbers in a list?
How do you check if an integer is even or odd?
How do you find the middle element of a linked list?
How do you remove a loop in a linked list?
How do you merge two sorted linked lists?
How do you implement binary search to find an element in a sorted array?
How do you print a binary tree in vertical order?
Conceptual Coding Interview Questions
What is a data structure?
What is an array?
What is a linked list?
What is the difference between an array and a linked list?
What is LIFO?
What is FIFO?
What is a stack?
What are binary trees?
What are binary search trees?
What is object-oriented programming?
What is the purpose of a loop in programming?
What is a conditional statement?
What is debugging?
What is recursion?
What are the differences between linear and non-linear data structures?
General Coding Interview Questions
What programming languages do you have experience working with?
Describe a time you faced a challenge in a project you were working on and how you overcame it.
Walk me through a project youβre currently or have recently worked on.
Give an example of a project you worked on where you had to learn a new programming language or technology. How did you go about learning it?
How do you ensure your code is readable by other developers?
What are your interests outside of programming?
How do you keep your skills sharp and up to date?
How do you collaborate on projects with non-technical team members?
Tell me about a time when you had to explain a complex technical concept to a non-technical team member.
How do you get started on a new coding project?
Best Programming Resources: https://topmate.io/coding/898340
Join for more: https://t.iss.one/programming_guide
ENJOY LEARNING ππ
How do you reverse a string?
How do you determine if a string is a palindrome?
How do you calculate the number of numerical digits in a string?
How do you find the count for the occurrence of a particular character in a string?
How do you find the non-matching characters in a string?
How do you find out if the two given strings are anagrams?
How do you calculate the number of vowels and consonants in a string?
How do you total all of the matching integer elements in an array?
How do you reverse an array?
How do you find the maximum element in an array?
How do you sort an array of integers in ascending order?
How do you print a Fibonacci sequence using recursion?
How do you calculate the sum of two integers?
How do you find the average of numbers in a list?
How do you check if an integer is even or odd?
How do you find the middle element of a linked list?
How do you remove a loop in a linked list?
How do you merge two sorted linked lists?
How do you implement binary search to find an element in a sorted array?
How do you print a binary tree in vertical order?
Conceptual Coding Interview Questions
What is a data structure?
What is an array?
What is a linked list?
What is the difference between an array and a linked list?
What is LIFO?
What is FIFO?
What is a stack?
What are binary trees?
What are binary search trees?
What is object-oriented programming?
What is the purpose of a loop in programming?
What is a conditional statement?
What is debugging?
What is recursion?
What are the differences between linear and non-linear data structures?
General Coding Interview Questions
What programming languages do you have experience working with?
Describe a time you faced a challenge in a project you were working on and how you overcame it.
Walk me through a project youβre currently or have recently worked on.
Give an example of a project you worked on where you had to learn a new programming language or technology. How did you go about learning it?
How do you ensure your code is readable by other developers?
What are your interests outside of programming?
How do you keep your skills sharp and up to date?
How do you collaborate on projects with non-technical team members?
Tell me about a time when you had to explain a complex technical concept to a non-technical team member.
How do you get started on a new coding project?
Best Programming Resources: https://topmate.io/coding/898340
Join for more: https://t.iss.one/programming_guide
ENJOY LEARNING ππ
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Guys, Big Announcement!
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- Lists, Tuples, Sets, Dictionaries
- String Manipulation
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Weβve officially hit 5 Lakh followers on WhatsApp and itβs time to level up together! β€οΈ
I've launched a Python Learning Series β designed for beginners to those preparing for technical interviews or building real-world projects.
This will be a step-by-step journey β from basics to advanced β with real examples and short quizzes after each topic to help you lock in the concepts.
Hereβs what weβll cover in the coming days:
Week 1: Python Fundamentals
- Variables & Data Types
- Operators & Expressions
- Conditional Statements (if, elif, else)
- Loops (for, while)
- Functions & Parameters
- Input/Output & Basic Formatting
Week 2: Core Python Skills
- Lists, Tuples, Sets, Dictionaries
- String Manipulation
- List Comprehensions
- File Handling
- Exception Handling
Week 3: Intermediate Python
- Lambda Functions
- Map, Filter, Reduce
- Modules & Packages
- Scope & Global Variables
- Working with Dates & Time
Week 4: OOP & Pythonic Concepts
- Classes & Objects
- Inheritance & Polymorphism
- Decorators (Intro level)
- Generators & Iterators
- Writing Clean & Readable Code
Week 5: Real-World & Interview Prep
- Web Scraping (BeautifulSoup)
- Working with APIs (Requests)
- Automating Tasks
- Data Analysis Basics (Pandas)
- Interview Coding Patterns
You can join our WhatsApp channel to access it for free: https://whatsapp.com/channel/0029VaiM08SDuMRaGKd9Wv0L/1527
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Six Steps to Defining a Function
1. What should your function do? Type a couple of example calls.
2. Pick a meaningful name (often a verb or verb phrase): What is a short answer to "What does
your function do"?
3. Decide how many parameters the function takes and any return values
4. Describe what your function does and any parameters and return values in the docstring
5. Write the body of the function
6. Test your function. Think about edge cases.
1. What should your function do? Type a couple of example calls.
2. Pick a meaningful name (often a verb or verb phrase): What is a short answer to "What does
your function do"?
3. Decide how many parameters the function takes and any return values
4. Describe what your function does and any parameters and return values in the docstring
5. Write the body of the function
6. Test your function. Think about edge cases.
Practical Python Dat... by Ashwin Pajankar.pdf
4.8 MB
Practical Python Data Visualization
ΠΠ²ΡΠΎΡ: Ashwin Pajankar
ΠΠ²ΡΠΎΡ: Ashwin Pajankar
SQL-Cheat-Sheet.pdf
142.1 KB
SQL-Cheat-Sheet.pdf
π3
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How can you stand out as a software engineer?
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Most fall short here.
Learn the skills that others avoid:
β’ Learn unit testing.
β’ Learn CI/CD pipelines.
β’ Learn automation tools.
β’ Learn performance tuning.
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β’ Learn effective branching strategies.
β’ Learn cloud infrastructure management.
Most fall short here.
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Latest Jobs & Internships.pdf
74.5 KB
ππ» DO REACT IF YOU WANT MORE JOBS & INTERNSHIP OPPORTUNITIES LIKE THIS
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How to apply for Tech companies.pdf
83.7 KB
ππ» DO REACT IF YOU WANT MORE RESOURCES LIKE THIS FOR π
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Guys, Big Announcement!
Weβve officially crossed 4 Lakh followers on this journey together β and itβs time to step up now! β€οΈ
Iβm launching a Coding Interview Prep Series β designed for everyone from beginners to those polishing their skills for FAANG-level interviews.
This will be a structured, step-by-step journey β with short explanations, real coding examples, and mini-challenges after every topic to build real muscle memory.
Hereβs whatβs coming in the next few weeks:
Week 1: The Very Basics
- What is an Algorithm?
- What is Data Structure?
- Understanding Time Complexity (Big O Notation - made simple!)
- Basic Math for Coding Interviews
- Problem Solving Approach (How to break down a question)
Week 2: Arrays & Strings β Your Building Blocks
- Introduction to Arrays and Strings
- Common Operations (Insert, Delete, Search)
- Two Pointer Techniques (Easy to Medium problems)
- Sliding Window Problems (Optimization techniques)
- String Manipulation Tricks for Interviews
Week 3: Hashing & Recursion
- HashMaps and HashSets (Power tools for coders!)
- Solving Problems using Hashing
- Introduction to Recursion
- Base Case and Recursive Case (Explained like a 5-year-old)
- Classic Recursion Problems
Week 4: Linked Lists, Stacks & Queues
- Singly vs Doubly Linked List
- Stack Operations and Problems (Valid Parentheses, Min Stack)
- Queue and Deque Concepts (with real examples)
- When to Use Stack vs Queue in Interviews
Week 5: Trees & Graphs Essentials
- Binary Trees and BST Basics
- Tree Traversals (Inorder, Preorder, Postorder)
- Graph Representations (Adjacency List, Matrix)
- Breadth-First Search (BFS) and Depth-First Search (DFS) explained simply
Week 6: Sorting, Searching & Interview Patterns
- Core Sorting Algorithms (Selection, Bubble, Insertion)
- Advanced Sorting (Merge Sort, Quick Sort)
- Binary Search Patterns (Find First, Last Occurrence, etc.)
- Mastering Interview Patterns (Two Sum, Three Sum, Subarray Sum, etc.)
Week 7: Dynamic Programming & Advanced Problem Solving
- What is Dynamic Programming (DP)?
- Top-Down vs Bottom-Up Approach
- Memoization and Tabulation Explained
- Classic DP Problems (Fibonacci, 0/1 Knapsack, Longest Subsequence)
Week 8: Real-World Mock Interviews
- Solving Medium to Hard Problems
- Tackling FAANG-level Interview Questions
- Tips to Handle Pressure in Coding Rounds
- Building the Right Mindset for Success
React with β€οΈ if you're ready for this new coding series
You can join our WhatsApp channel to access it for free: https://whatsapp.com/channel/0029VammZijATRSlLxywEC3X
Weβve officially crossed 4 Lakh followers on this journey together β and itβs time to step up now! β€οΈ
Iβm launching a Coding Interview Prep Series β designed for everyone from beginners to those polishing their skills for FAANG-level interviews.
This will be a structured, step-by-step journey β with short explanations, real coding examples, and mini-challenges after every topic to build real muscle memory.
Hereβs whatβs coming in the next few weeks:
Week 1: The Very Basics
- What is an Algorithm?
- What is Data Structure?
- Understanding Time Complexity (Big O Notation - made simple!)
- Basic Math for Coding Interviews
- Problem Solving Approach (How to break down a question)
Week 2: Arrays & Strings β Your Building Blocks
- Introduction to Arrays and Strings
- Common Operations (Insert, Delete, Search)
- Two Pointer Techniques (Easy to Medium problems)
- Sliding Window Problems (Optimization techniques)
- String Manipulation Tricks for Interviews
Week 3: Hashing & Recursion
- HashMaps and HashSets (Power tools for coders!)
- Solving Problems using Hashing
- Introduction to Recursion
- Base Case and Recursive Case (Explained like a 5-year-old)
- Classic Recursion Problems
Week 4: Linked Lists, Stacks & Queues
- Singly vs Doubly Linked List
- Stack Operations and Problems (Valid Parentheses, Min Stack)
- Queue and Deque Concepts (with real examples)
- When to Use Stack vs Queue in Interviews
Week 5: Trees & Graphs Essentials
- Binary Trees and BST Basics
- Tree Traversals (Inorder, Preorder, Postorder)
- Graph Representations (Adjacency List, Matrix)
- Breadth-First Search (BFS) and Depth-First Search (DFS) explained simply
Week 6: Sorting, Searching & Interview Patterns
- Core Sorting Algorithms (Selection, Bubble, Insertion)
- Advanced Sorting (Merge Sort, Quick Sort)
- Binary Search Patterns (Find First, Last Occurrence, etc.)
- Mastering Interview Patterns (Two Sum, Three Sum, Subarray Sum, etc.)
Week 7: Dynamic Programming & Advanced Problem Solving
- What is Dynamic Programming (DP)?
- Top-Down vs Bottom-Up Approach
- Memoization and Tabulation Explained
- Classic DP Problems (Fibonacci, 0/1 Knapsack, Longest Subsequence)
Week 8: Real-World Mock Interviews
- Solving Medium to Hard Problems
- Tackling FAANG-level Interview Questions
- Tips to Handle Pressure in Coding Rounds
- Building the Right Mindset for Success
React with β€οΈ if you're ready for this new coding series
You can join our WhatsApp channel to access it for free: https://whatsapp.com/channel/0029VammZijATRSlLxywEC3X
β€2π2
Tiny CSS Projects.pdf
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