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PREPARING FOR AN ONLINE INTERVIEW?

10 basic tips to consider when invited/preparing for an online interview:

1. Get to know the online technology that the interviewer(s) will use. Is it a phone call, WhatsApp, Skype or Zoom interview? If not clear, ask.

2. Familiarize yourself with the online tools that you’ll be using. Understand how Zoom/Skype works and test it well in advance. Test the sound and video quality.

3. Ensure that your internet connection is stable. If using mobile data, make sure it’s adequate to sustain the call to the end.

4. Ensure the lighting and the background is good. Remove background clutter. Isolate yourself in a place where you’ll not have any noise distractions.

5. For Zoom/Skype calls, use your desktop or laptop instead of your phone. They’re more stable especially for video calls.

6. Mute all notifications on your computer/phone to avoid unnecessary distractions.

7. Ensure that your posture is right. Just because it’s a remote interview does not mean you slouch on your couch. Maintain an upright posture.

8. Prepare on the other job specifics just like you would for a face-to-face interview

9. Dress up like you would for a face-to-face interview.

10. Be all set at least 10 minutes to the start of interview.

✅Meta interview questions : Most asked in last 30 days

1. 1249. Minimum Remove to Make Valid Parentheses

2. 408. Valid Word Abbreviation

3. 215. Kth Largest Element in an Array

4. 314. Binary Tree Vertical Order Traversal

5. 88. Merge Sorted Array

6. 339. Nested List Weight Sum

7. 680. Valid Palindrome II

8. 973. K Closest Points to Origin

9. 1650. Lowest Common Ancestor of a Binary Tree III

10. 1. Two Sum

11. 791. Custom Sort String

12. 56. Merge Intervals

13. 528. Random Pick with Weight

14. 1570. Dot Product of Two Sparse Vectors

15. 50. Pow(x, n)

16. 65. Valid Number

17. 227. Basic Calculator II

18. 560. Subarray Sum Equals K

19. 71. Simplify Path

20. 200. Number of Islands

21. 236. Lowest Common Ancestor of a Binary Tree

22. 347. Top K Frequent Elements

23. 498. Diagonal Traverse

24. 543. Diameter of Binary Tree

25. 1768. Merge Strings Alternately

26. 2. Add Two Numbers

27. 4. Median of Two Sorted Arrays

28. 7. Reverse Integer

29. 31. Next Permutation

30. 34. Find First and Last Position of Element in Sorted Array

31. 84. Largest Rectangle in Histogram

32. 146. LRU Cache

33. 162. Find Peak Element

34. 199. Binary Tree Right Side View

35. 938. Range Sum of BST

36. 17. Letter Combinations of a Phone Number
37. 125. Valid Palindrome

38. 153. Find Minimum in Rotated Sorted Array

39. 283. Move Zeroes

40. 523. Continuous Subarray Sum

41. 658. Find K Closest Elements

42. 670. Maximum Swap

43. 827. Making A Large Island

44. 987. Vertical Order Traversal of a Binary Tree

45. 1757. Recyclable and Low Fat Products

46. 1762. Buildings With an Ocean View

47. 2667. Create Hello World Function

48. 5. Longest Palindromic Substring

49. 15. 3Sum

50. 19. Remove Nth Node From End of List

51. 70. Climbing Stairs

52. 80. Remove Duplicates from Sorted Array II

53. 113. Path Sum II

54. 121. Best Time to Buy and Sell Stock

55. 127. Word Ladder

56. 128. Longest Consecutive Sequence

57. 133. Clone Graph

58. 138. Copy List with Random Pointer

59. 140. Word Break II

60. 142. Linked List Cycle II

61. 145. Binary Tree Postorder Traversal

62. 173. Binary Search Tree Iterator

63. 206. Reverse Linked List

64. 207. Course Schedule

65. 394. Decode String

66. 415. Add Strings

67. 437. Path Sum III

68. 468. Validate IP Address

70. 691. Stickers to Spell Word

71. 725. Split Linked List in Parts

72. 766. Toeplitz Matrix

73. 708. Insert into a Sorted Circular Linked List

74. 1091. Shortest Path in Binary Matrix

75. 1514. Path with Maximum Probability

76. 1609. Even Odd Tree

77. 1868. Product of Two Run-Length Encoded Arrays

78. 2022. Convert 1D Array Into 2D Array

DSA Interview Preparation Resources: https://topmate.io/coding/886874

ENJOY LEARNING 👍👍

Tech Interviews

ChatGPT can help you land your dream job twice as fast. Here are 8 powerful ChatGPT prompts will 10X your interview chances.

Free book to master ChatGPT: https://t.me/InterviewBooks/166

1. Customizing Your Resume ChatGPT prompt: "Can you make changes to my resume to fit the [Job Title] role at [Company]? Here's the job description: [Paste Job Description], and resume: [Paste Resume]."

2. Creating a Professional Summary ChatGPT prompt: "Using my resume, can you create a professional summary for me aligned to this [Job Title]." [Paste Resume]

3. Understanding Job Descriptions ChatGPT prompt: "What are the main responsibilities for this job? Please list the top three responsibilities required for [Job Title]." [Paste Job Description]

4. Improving Your Resume Bullets ChatGPT prompt: "Please rewrite this bullet point from my resume using clear and impactful language while highlighting my accomplishments. [Paste Resume]"

5. Writing a LinkedIn Summary ChatGPT prompt: "Can you write a summary for my LinkedIn profile using my resume [Paste Resume]?"

6. Job Applications with ChatGPT ChatGPT prompt: "Can you identify my [Skills] experience from my resume [Paste Resume]? Please describe my specific [Skills] experience in conversational, clear language as if you were me."

7. Crafting Your Cover Letter ChatGPT prompt: "Can you write a personalized cover letter for the [Job Title] position at [Company]? Here's the job description: [Paste Job Description], and my current resume: [Paste Resume]."

8. Preparing for Interviews ChatGPT prompt: "What skills and experiences should I emphasize during an interview for the [Job Title] role in [Specific Industry]?"

ENJOY LEARNING 👍👍

Shoutout to all the late-night coders—may your coffee be strong and your bugs be few!

How to start learning Generative AI

Best way to prepare for Python interviews 👇👇

1. Fundamentals: Strengthen your understanding of Python basics, including data types, control structures, functions, and object-oriented programming concepts.

2. Data Structures and Algorithms: Familiarize yourself with common data structures (lists, dictionaries, sets, etc.) and algorithms. Practice solving coding problems on platforms like LeetCode or HackerRank.

3. Problem Solving: Develop problem-solving skills by working on real-world scenarios. Understand how to approach and solve problems efficiently using Python.

4. Libraries and Frameworks: Be well-versed in popular Python libraries and frameworks relevant to the job, such as NumPy, Pandas, Flask, or Django. Demonstrate your ability to apply these tools in practical situations.

5. Web Development (if applicable): If the position involves web development, understand web frameworks like Flask or Django. Be ready to discuss your experience in building web applications using Python.

6. Database Knowledge: Have a solid understanding of working with databases in Python. Know how to interact with databases using SQLAlchemy or Django ORM.

7. Testing and Debugging: Showcase your proficiency in writing unit tests and debugging code. Understand testing frameworks like pytest and debugging tools available in Python.

8. Version Control: Familiarize yourself with version control systems, particularly Git, and demonstrate your ability to collaborate on projects using Git.

9. Projects: Showcase relevant projects in your portfolio. Discuss the challenges you faced, solutions you implemented, and the impact of your work.

10. Soft Skills: Highlight your communication and collaboration skills. Be ready to explain your thought process and decision-making during technical discussions.

Best Resource to learn Python

Python Interview Questions with Answers

Freecodecamp Python Course with FREE Certificate

Python for Data Analysis and Visualization

Python course for beginners by Microsoft

Python course by Google

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New developers: Whenever you work on something interesting, write it down in a document which you keep updating. This will be very helpful when you need to create a resume or have to talk about your achievements in an interview. (Or for college essays.)

I can guarantee you that if you don't do this, you will forget half the interesting things you've done; and for a majority of us, our brains are experts in convincing us that we haven't really done anything interesting.

Top 21 skills to learn this year 👇

1. Artificial Intelligence and Machine Learning: Understanding AI algorithms and applications.
2. Data Science: Proficiency in tools like Python/ R, Jupyter Notebook, and GitHub, with the ability to apply data science algorithms to solve real-world problems.
3. Cybersecurity: Protecting data and systems from cyber threats.
4. Cloud Computing: Proficiency in platforms like AWS, Azure, and Google Cloud.
5. Blockchain Technology: Understanding blockchain architecture and applications beyond cryptocurrencies.
6. Digital Marketing: Expertise in SEO, social media, and online advertising.
7. Programming: Skills in languages such as Python, JavaScript, and Go.
8. UX/UI Design: Creating intuitive and effective user interfaces and experiences.
9. Consulting: Expertise in providing strategic advice, improving business processes, and implementing solutions to drive business growth.
10. Data Analysis and Visualization: Proficiency in tools like Excel, SQL, Tableau, and Power BI to analyze and present data effectively.
11. Business Analysis & Project Management: Using tools and methodologies like Agile and Scrum.
12. Remote Work Tools: Proficiency in tools for remote collaboration and productivity.
13. Financial Literacy: Understanding personal finance, investment, and cryptocurrencies.
14. Emotional Intelligence: Skills in empathy, communication, and relationship management.
15. Business Acumen: A deep understanding of how businesses operate, including strategic thinking, market analysis, and financial literacy.
16. Investment Banking: Knowledge of financial markets, valuation methods, mergers and acquisitions, and financial modeling.
17. Mobile App Development: Skills in developing apps for iOS and Android using Swift, Kotlin, or React Native.
18. Financial Management: Proficiency in financial planning, analysis, and tools like QuickBooks and SAP.
19. Web Development: Proficiency in front-end and back-end development using HTML, CSS, JavaScript, and frameworks like React, Angular, and Node.js.
20. Data Engineering: Skills in designing, building, and maintaining data pipelines and architectures using tools like Hadoop, Spark, and Kafka.
21. Soft Skills: Improving leadership, teamwork, and adaptability skills.

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Here are some of the most popular python project ideas: 💡

Simple Calculator
Text-Based Adventure Game
Number Guessing Game
Password Generator
Dice Rolling Simulator
Mad Libs Generator
Currency Converter
Leap Year Checker
Word Counter
Quiz Program
Email Slicer
Rock-Paper-Scissors Game
Web Scraper (Simple)
Text Analyzer
Interest Calculator
Unit Converter
Simple Drawing Program
File Organizer
BMI Calculator
Tic-Tac-Toe Game
To-Do List Application
Inspirational Quote Generator
Task Automation Script
Simple Weather App
Automate data cleaning and analysis (EDA)
Sales analysis
Sentiment analysis
Price prediction
Customer Segmentation
Time series forecasting
Image classification
Spam email detection
Credit card fraud detection
Market basket analysis
NLP, etc

These are just starting points. Feel free to explore, combine ideas, and personalize your projects based on your interest and skills. 🎯

Here's a 30-day roadmap to learn C++ up to an intermediate level, along with project ideas:

Week 1: C++ Basics
*Day 1-2:*
- Day 1: Install a C++ compiler (e.g., Visual Studio, Code::Blocks, or g++) and write your first "Hello, World!" program.
- Day 2: Understand C++ syntax, data types, and variables.

*Day 3-4:*
- Day 3: Learn about basic input and output operations in C++ using cin and cout.
- Day 4: Study operators and perform arithmetic and logical operations.

*Day 5-7:*
- Day 5: Explore control flow with if-else statements and loops (for, while, do-while).
- Day 6: Understand switch statements and how to use them for menu-driven programs.
- Day 7: Practice writing small programs involving conditions and loops.

Week 2: Functions and Object-Oriented Programming
*Day 8-9:*
- Day 8: Learn about functions (methods) in C++ and how to define your own functions.
- Day 9: Study function parameters, return types, and function overloading.

*Day 10-12:*
- Day 10: Understand the basics of object-oriented programming (OOP) in C++, including classes and objects.
- Day 11: Dive into constructors, destructors, and operator overloading.
- Day 12: Explore encapsulation, inheritance, and polymorphism.

*Day 13-14:*
- Day 13: Study C++ namespaces and access specifiers (public, private, protected).
- Day 14: Practice creating classes and objects for real-world applications.

Week 3: Data Structures and Standard Template Library (STL)
*Day 15-17:*
- Day 15: Dive into C++ arrays and understand their usage.
- Day 16: Explore the Standard Template Library (STL) and containers like vectors and lists.
- Day 17: Learn about iterating through containers using iterators.

*Day 18-19:*
- Day 18: Study other STL components like maps, sets, and queues.
- Day 19: Understand when and how to use different STL containers in C++.

*Day 20-21:*
- Day 20: Explore exception handling in C++ and how to handle runtime errors.
- Day 21: Practice working with try-catch blocks and handling exceptions effectively.

Week 4: Intermediate Topics and Projects
*Day 22-23:*
- Day 22: Learn about file handling in C++, including reading and writing files.
- Day 23: Create a small project that involves file operations, like a text-based note-taking application.

*Day 24-26:*
- Day 24: Study C++ pointers, references, and dynamic memory allocation.
- Day 25: Explore more advanced C++ topics like multithreading or creating a simple game using libraries like SDL or SFML.
- Day 26: Work on a project that involves pointers, references, or multithreading.

*Day 27-28:*
- Day 27: Explore more advanced C++ libraries and frameworks that interest you (e.g., Boost or Qt).
- Day 28: Work on a more complex project that combines your knowledge from the past weeks. For example, create a small database application using SQLite and C++.

*Day 29-30:*
- Day 29: Review and revisit any topics you found challenging.
- Day 30: Continue building projects and exploring areas of C++ that interest you.

Remember to practice coding daily, and don't hesitate to explore additional resources, online tutorials, and forums to enhance your C++ skills. Good luck with your C++ learning journey!

ENJOY LEARNING 👍👍

Shutdown laptop with code 🧑‍💻👩‍💻

Leetcode patterns you should definitely checkout to Learn DSA(Java) from scratch

1️⃣ Arrays: Data structures, such as arrays, store elements in contiguous memory locations. They are versatile and useful for a wide variety of purposes.
LeetCode Problems:
• Search in Rotated Sorted Array (Problem #33)
• Product of Array Except Self (Problem #238)
• Find the Missing Number (Problem #268)

2️⃣Two Pointers: In Two Pointers, two pointers are maintained in the collection and can be manipulated to solve a problem efficiently.
LeetCode problems:
• Trapping Rain Water (Problem #42)
• Longest Substring Without Repeating Characters (Problem #3)
• Squares of a Sorted Array (Problem #977)

3️⃣In-place Linked List Traversal: As an explanation, in-place traversal is a technique for modifying linked list nodes without using extra space.
LeetCode Problems:
• Remove Nth Node From End of List (Problem #19)
• Reorder List (Problem #143)

4️⃣Fast & Slow Pointers: This pattern uses two pointers to traverse a sequence at different speeds (fast and slow), often used to detect cycles or find a specific position in the sequence.
LeetCode Problems:
• Happy Number (Problem #202)
• Subarray Sum Equals K (Problem #560)
• Intersection of Two Linked Lists (Problem #160)

5️⃣Merge Intervals: This pattern involves merging overlapping intervals in a collection, often used in problems dealing with intervals or ranges.
LeetCode problems:
• Non-overlapping Intervals (Problem #435)
• Minimum Number of Arrows to Burst Balloons (Problem #452)

Join for more: https://t.me/crackingthecodinginterview

DSA Interview Preparation Resources: https://topmate.io/coding/886874

ENJOY LEARNING 👍👍

Coding isn't easy!

It’s the art of turning ideas into functional, impactful software that shapes the world around us.

To truly excel in coding, focus on these key areas:

0. Understanding the Basics: Learn the syntax, variables, loops, and conditionals in your chosen programming language. These are the building blocks of coding.


1. Mastering Data Structures and Algorithms: These are the backbone of efficient, scalable, and optimized code.


2. Learning Debugging Techniques: Understand how to identify and fix errors in your code using tools and logical thinking.


3. Writing Clean Code: Follow best practices like commenting, indentation, and naming conventions to make your code readable and maintainable.


4. Building Real-World Projects: Hands-on experience is essential. Apply what you learn by building applications, games, or automation scripts.


5. Collaborating with Git: Master version control to work effectively in teams and manage your codebase.


6. Exploring Frameworks and Libraries: Learn to use tools that simplify coding and add functionality to your projects.


7. Understanding Problem-Solving: Focus on logical thinking and breaking down problems into smaller, manageable parts.


8. Adapting to New Technologies: Stay curious and keep learning new languages, paradigms, and tools as they emerge.


9. Practicing Consistently: Coding is a skill that improves with regular practice and perseverance.

💡 Embrace the process, learn from your mistakes, and keep pushing your limits to grow as a developer.

Best Programming Resources: https://topmate.io/coding/886839

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How does REST API work?

System Design Interview Preparation

System Design Interview Books:
Essential reads for understanding system design concepts and interview questions.

Grokking the System Design Interview by Design Guru:
A practical guide to system design with real-world scenarios.

Codemia io —
Practice System Design Problems in Leetcode style on Codemia , they got more than 120 problems on System dseign with editorial solutions and diagrams.

Designing Data-Intensive Applications:
Learn about the architecture of data systems and how to design data-heavy applications.

Master Python programming in 15 days with Free Resources 😄👇

Days 1-3: Introduction to Python
- Day 1: Start by installing Python on your computer.
- Day 2: Learn the basic syntax and data types in Python (variables, numbers, strings).
- Day 3: Explore Python's built-in functions and operators.

Days 4-6: Control Structures
- Day 4: Understand conditional statements (if, elif, else).
- Day 5: Learn about loops (for and while) and iterators.
- Day 6: Work on small projects to practice using conditionals and loops.

Days 7-9: Data Structures
- Day 7: Learn about lists and how to manipulate them.
- Day 8: Explore dictionaries and sets.
- Day 9: Understand tuples and lists comprehensions.

Days 10-12: Functions and Modules
- Day 10: Learn how to define functions in Python.
- Day 11: Understand scope and global vs. local variables.
- Day 12: Explore Python's module system and create your own modules.

Days 13-15: Intermediate Concepts
- Day 13: Work with file handling and I/O operations.
- Day 14: Learn about exceptions and error handling.
- Day 15: Explore more advanced topics like object-oriented programming and libraries such as NumPy, pandas, and Matplotlib.

FREE RESOURCES TO LEARN PYTHON 👇

Microsoft course for Python: https://learn.microsoft.com/en-us/training/paths/beginner-python/

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Harvard course for Python: http://cs50.harvard.edu/python/2022/

Freecodecamp Python course with certificate: https://www.freecodecamp.org/learn/data-analysis-with-python/#data-analysis-with-python-course

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ENJOY LEARNING👍👍

FREE RESOURCES TO PREPARE FOR YOUR NEXT INTERVIEW

Coding Interview Preparation

https://interviewgpt.ai

https://www.freecodecamp.org/learn/coding-interview-prep/#take-home-projects

http://Leetcode.com/

https://www.hackerrank.com/domains/data-structures

Python Interview Q&A

https://t.me/dsabooks/75

Beginner's guide for DSA

https://www.geeksforgeeks.org/the-ultimate-beginners-guide-for-dsa/amp/

Cracking the coding interview FREE BOOK

https://www.pdfdrive.com/cracking-the-coding-interview-189-programming-questions-and-solutions-d175292720.html

DSA Interview Questions and Answers

https://t.me/crackingthecodinginterview/77

Cracking the Coding interview: Learn 5 Essential Patterns
[4.5 star ratings out of 5]

https://bit.ly/3GUBk56

Data Science Interview Questions and Answers

https://t.me/datasciencefun/958

Java Interview Questions with Answers

https://t.me/Curiousprogrammer/106

SQL INTERVIEW Questions and Answers

https://t.me/sqlanalyst/61

Use Chat GPT to prepare for your next Interview
👇👇
https://t.me/getjobss/1483

Data Engineering Interview Questions

https://t.me/crackingthecodinginterview/691

ENJOY LEARNING 👍👍