Here are 10 popular programming languages based on versatile, widely-used, and in-demand languages:

1. Python – Ideal for beginners and professionals; used in web development, data analysis, AI, and more.

2. Java – A classic language for building enterprise applications, Android apps, and large-scale systems.

3. C – The foundation for many other languages; great for understanding low-level programming concepts.

4. C++ – Popular for game development, competitive programming, and performance-critical applications.

5. C# – Widely used for Windows applications, game development (Unity), and enterprise software.

6. Go (Golang) – A modern language designed for performance and scalability, popular in cloud services.

7. Rust – Known for its safety and performance, ideal for system-level programming.

8. Kotlin – The preferred language for Android development with modern features.

9. Swift – Used for developing iOS and macOS applications with simplicity and power.

10. PHP – A staple for web development, powering many websites and applications.

Stepwise Guide on becoming a software engineer 😄👇

Choose a Programming Language: Start by picking a programming language to learn. Popular choices for beginners include Python, JavaScript, or Java.

Learn the Basics: Begin with the fundamentals of programming, including variables, data types, control structures (if-else, loops), and basic algorithms.

Data Structures and Algorithms: Gain a solid understanding of data structures (arrays, linked lists, stacks, queues) and algorithms. Telegram channels like @crackingthecodinginterview can be helpful.

Online Courses and Tutorials: Take advantage of online courses and tutorials. Platforms like Coursera, edX, and Codecademy offer a wide range of programming courses. Many free resources are shared in this channel. Just search for the desired skill/course based on your interest in this channel.

Build Projects: Practical experience is key. Create small software projects to apply what you've learned. Start with simple projects and gradually work your way up to more complex ones.

Version Control (Git): Learn how to use Git for version control. It's essential for collaborative software development.

Explore Different Fields: Software development is vast. Explore different areas like web development, mobile app development, data science, or game development to find your niche.

Contribute to Open Source: Consider contributing to open-source projects. It's a great way to gain real-world experience, collaborate with others, and build a portfolio.

Build a Portfolio: Create a portfolio of your projects on platforms like GitHub or a personal website. Showcase your skills and projects to potential employers.

Internships and Job Search: Look for internships or entry-level positions to gain professional experience. Tailor your resume and cover letter to highlight your skills and projects. Many telegram channels like @getjobss or linkedin platform might be useful to find your desired job/internship.

Interview Preparation: Practice coding interviews. Use resources like LeetCode, HackerRank, or InterviewBit to improve your problem-solving skills.

Soft Skills: Develop soft skills like communication, teamwork, and time management. These are essential in a professional environment.

Continuous Learning: Technology evolves rapidly. Stay updated by reading blogs, books, and taking advanced courses to deepen your knowledge.

Build a Strong Online Presence: Engage in tech communities, write blog posts, or share your insights on platforms like LinkedIn to showcase your expertise.

Be Persistent: Landing your first job can be challenging. Keep applying, learning, and improving your skills. Don't get discouraged by rejections.
Remember that becoming a software engineer is a journey, and it may take time. Stay committed to learning and adapting to new technologies, and you'll progress in your career.

ENJOY LEARNING 👍👍

Algorithms 👆

Kafka in a nutshell ✅

Coding Interview Preparation

Here are some highly recommended tools and materials to help you succeed in your tech interviews.

AlgoMonster:
Learn coding interview patterns which can be used to solve variety of coding problems on LeetCode and NeetCode

Educative-99:
a curated set of 99 coding interview questions designed to help candidates master 26 essential problem-solving patterns. It provides a hands-on, setup-free coding environment where users can efficiently practice and internalize coding patterns crucial for tech interviews, making it easier to tackle various coding challenges in a structured manner​

LeetCode:
Practice coding problems of varying difficulty levels.

NeetCode:
Get access to a structured plan for mastering coding problems.
Cracking the Coding Interview: A comprehensive guidebook with 189 programming questions and solutions.

Best Resources to learn Coding ✅

✅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

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 👍👍

Free Resources To Crack Coding Interviews
👇👇

Coding Interview Prep FREE CERTIFIED COURSE

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

Python Interview Questions and Answers

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

ENJOY LEARNING 👍👍

YouTube channels to learn Coding ✅

How to approach a DSA problem:

𝟭. 𝗧𝗶𝗺𝗲 𝗯𝗼𝗺𝗯:
- Read the problem two times. Solve the examples using pen and paper and check if your answers match. Calculate the time complexity and see if it matches the constraints. If your algorithm approach is correct, attempt the question. If not, you have 45 minutes – set a timer and move to the next step.

𝟮. 𝗙𝗶𝗻𝗱 𝘁𝗵𝗲 𝗿𝗶𝗴𝗵𝘁 𝘀𝗼𝗹𝘂𝘁𝗶𝗼𝗻:
- Go to the discussion section and check the top solutions. Look for a solution that will help you get the job, not a fancy or exotic one. Focus on a simple approach, study it properly, and you’ll start seeing patterns. Use that pattern and implement the solution.

𝟯. 𝗜𝗱𝗲𝗻𝘁𝗶𝗳𝘆 𝘁𝗵𝗲 𝗽𝗮𝘁𝘁𝗲𝗿𝗻:
- Solve the suggested problems. This way, you’ll learn multiple patterns. DSA works on patterns, not just learning. Focus on basic problems to improve your pattern recognition and then solve more problems related to that pattern to clear your concepts.

𝟰. 𝗟𝗲𝗲𝘁𝗰𝗼𝗱𝗲 𝟴𝟬/𝟮𝟬 𝗿𝘂𝗹𝗲:
- Solve the 20% of problems that are asked in 80% of interviews. Use Blind 75 or Neetcode 150. Check the company-specific discussion forums on Leetcode to see which questions are being asked recently. Focus on those questions, especially around common topics like graphs or dynamic programming, because companies tend to repeat similar questions. This will help you prepare better.

𝟱. 𝗙𝗼𝗰𝘂𝘀 𝗼𝗻 𝗾𝘂𝗮𝗹𝗶𝘁𝘆, 𝗻𝗼𝘁 𝗾𝘂𝗮𝗻𝘁𝗶𝘁𝘆:
- Solve quality questions that will help clarify your fundamentals. Copy-pasting solutions won’t help. Jump to medium-level questions, as most interview questions are of medium difficulty. Aim for 65% accuracy, and once you reach that, move on to harder questions. This will build your confidence and improve your problem-solving skills.

Best DSA RESOURCES: https://topmate.io/coding/886874

All the best 👍👍

Interview Questions related to STAR (Situation, Task, Action, Result) approach for a Data Analyst 😄👇

1. Situation: In your previous role, describe a situation where you had to analyze a large and complex dataset.

   Task: What was the specific task or problem you needed to address with this dataset?

   Action: Explain the steps you took to clean, process, and analyze the data. What tools and techniques did you use?

   Result: What insights or findings did you uncover, and how did they impact the project or organization?

2. Situation: Tell me about a time when you were asked to work on a project with tight deadlines.

   Task: What was the project, and what were the specific data analysis requirements and deadlines?

   Action: Describe how you organized your work and managed your time to meet the tight deadlines.

   Result: What was the outcome, and how did your ability to deliver on time affect the project or team?

3. Situation: Share an example of a project where you needed to collaborate with cross-functional teams.

   Task: What was the project, and what were the roles and responsibilities of the teams involved?

   Action: Explain how you facilitated collaboration, communicated findings, and ensured that data analysis aligned with the project's goals.

   Result: What was the impact of successful collaboration on the project's success?

4. Situation: Describe a scenario where you encountered a data quality issue in a dataset you were working with.

   Task: What was the data quality problem, and how did it affect the analysis you needed to perform?

   Action: Detail the steps you took to identify and rectify the data quality issue.

   Result: What were the consequences of addressing the issue, and how did it improve the quality of your analysis?

5. Situation: Discuss a time when you were responsible for presenting your data analysis findings to non-technical stakeholders.

   Task: What was the purpose of the presentation, and who were the stakeholders?

   Action: Explain how you prepared and delivered the presentation, including any data visualization techniques used.

   Result: What was the reaction of the stakeholders, and did your presentation lead to any actionable insights or decisions?

These STAR questions help assess not only a candidate's technical skills but also their ability to apply those skills in real-world situations and achieve meaningful results.

Like this post if you also need the sample answers for the above questions ❤️👍

Share with credits: https://t.me/sqlspecialist

Hope it helps :)

Sample email template to reach out to HR’s as fresher

Hi Jasneet,

I recently came across your LinkedIn post seeking a React.js developer intern, and I am writing to express my interest in the position at Airtel. As a recent graduate, I am eager to begin my career and am excited about the opportunity.

I am a quick learner and have developed a strong set of dynamic and user-friendly web applications using various technologies, including HTML, CSS, JavaScript, Bootstrap, React.js, Vue.js, PHP, and MySQL. I am also well-versed in creating reusable components, implementing responsive designs, and ensuring cross-browser compatibility.

I am confident that my eagerness to learn and strong work ethic will make me an asset to your team.

I have attached my resume for your review. Thank you for considering my application. I look forward to hearing from you soon.

Thanks!

I hope you will found this helpful 🙂

How to prepare for coding interview in 2025 👇👇

1. Master Data Structures and Algorithms: Make sure you have a solid understanding of common data structures (such as arrays, linked lists, trees, graphs, etc.) and algorithms (sorting, searching, dynamic programming, etc.). Practice implementing them in your preferred programming language.

2. Practice Coding Problems: Solve coding problems on platforms like LeetCode, HackerRank, or CodeSignal. Focus on a variety of problem types to improve your problem-solving skills.

3. Review System Design Concepts: Understand the basics of system design principles and practice designing scalable systems. Resources like Grokking the System Design Interview can be helpful.

4. Learn the Latest Technologies: Stay updated with the latest technologies and trends in the industry. Familiarize yourself with popular frameworks, libraries, and tools that are commonly used in software development.

5. Mock Interviews: Practice mock interviews with friends, mentors, or through online platforms to simulate the interview experience. This will help you get comfortable with coding under pressure and receiving feedback.

6. Stay Consistent: Set aside dedicated time each day to practice coding problems and review concepts. Consistency is key to improving your skills over time.

7. Stay Calm and Confident: Remember that interviews are not just about technical skills but also about how you communicate and approach problem-solving. Stay calm, confident, and be prepared to explain your thought process during the interview.

Credits: https://t.me/free4unow_backup

All the best 👍👍