Coding Interview Resources
50.4K subscribers
693 photos
7 files
398 links
This channel contains the free resources and solution of coding problems which are usually asked in the interviews.

Managed by: @love_data
Download Telegram
DSA INTERVIEW QUESTIONS AND ANSWERS

1. What is the difference between file structure and storage structure?
The difference lies in the memory area accessed. Storage structure refers to the data structure in the memory of the computer system,
whereas file structure represents the storage structure in the auxiliary memory.

2. Are linked lists considered linear or non-linear Data Structures?
Linked lists are considered both linear and non-linear data structures depending upon the application they are used for. When used for
access strategies, it is considered as a linear data-structure. When used for data storage, it is considered a non-linear data structure.

3. How do you reference all of the elements in a one-dimension array?
All of the elements in a one-dimension array can be referenced using an indexed loop as the array subscript so that the counter runs
from 0 to the array size minus one.

4. What are dynamic Data Structures? Name a few.
They are collections of data in memory that expand and contract to grow or shrink in size as a program runs. This enables the programmer
to control exactly how much memory is to be utilized.Examples are the dynamic array, linked list, stack, queue, and heap.

5. What is a Dequeue?
It is a double-ended queue, or a data structure, where the elements can be inserted or deleted at both ends (FRONT and REAR).

6. What operations can be performed on queues?
enqueue() adds an element to the end of the queue
dequeue() removes an element from the front of the queue
init() is used for initializing the queue
isEmpty tests for whether or not the queue is empty
The front is used to get the value of the first data item but does not remove it
The rear is used to get the last item from a queue.

7. What is the merge sort? How does it work?
Merge sort is a divide-and-conquer algorithm for sorting the data. It works by merging and sorting adjacent data to create bigger sorted
lists, which are then merged recursively to form even bigger sorted lists until you have one single sorted list.

8.How does the Selection sort work?
Selection sort works by repeatedly picking the smallest number in ascending order from the list and placing it at the beginning. This process is repeated moving toward the end of the list or sorted subarray.

Scan all items and find the smallest. Switch over the position as the first item. Repeat the selection sort on the remaining N-1 items. We always iterate forward (i from 0 to N-1) and swap with the smallest element (always i).

Time complexity: best case O(n2); worst O(n2)

Space complexity: worst O(1)

9. What are the applications of graph Data Structure?
Transport grids where stations are represented as vertices and routes as the edges of the graph
Utility graphs of power or water, where vertices are connection points and edge the wires or pipes connecting them
Social network graphs to determine the flow of information and hotspots (edges and vertices)
Neural networks where vertices represent neurons and edge the synapses between them

10. What is an AVL tree?
An AVL (Adelson, Velskii, and Landi) tree is a height balancing binary search tree in which the difference of heights of the left
and right subtrees of any node is less than or equal to one. This controls the height of the binary search tree by not letting
it get skewed. This is used when working with a large data set, with continual pruning through insertion and deletion of data.

11. Differentiate NULL and VOID ?
Null is a value, whereas Void is a data type identifier
Null indicates an empty value for a variable, whereas void indicates pointers that have no initial size
Null means it never existed; Void means it existed but is not in effect

You can check these resources for Coding interview Preparation

Credits: https://t.me/free4unow_backup

All the best ๐Ÿ‘๐Ÿ‘
๐Ÿ‘7
Object-Oriented Design (OOD) Interview

Interview-ready:
Tools and courses to help you prepare for OOD interviews.

Educative:
Interactive learning paths for mastering design patterns and OOD principles.

Codemia io
They have recently added OOAD sections with many questions like parking lot design, vending machine design and much more.

Head First Design Patterns Book:
An engaging book that simplifies complex design patterns with practical examples.
๐Ÿ‘7
โœ… Learn Trending Skills in 2025 ๐Ÿ”ฐ

1. Web Development โž
โ—€๏ธ https://t.me/webdevcoursefree

2. CSS โž
โ—€๏ธ http://css-tricks.com

3. JavaScript โž
โ—€๏ธ http://t.me/javascript_courses

4. React โž
โ—€๏ธ http://react-tutorial.app

5. Tailwind CSS โž
โ—€๏ธ http://scrimba.com

6. Data Science  โž
โ—€๏ธ https://t.me/datasciencefun

7. Python โž
โ—€๏ธ http://pythontutorial.net

8. SQL โž
โ—€๏ธ  https://t.me/sqlanalyst

โ—€๏ธ https://stratascratch.com/?via=free

9. Git and GitHub โž
โ—€๏ธ http://GitFluence.com

10. Blockchain โž
โ—€๏ธ https://t.me/Bitcoin_Crypto_Web

11. Mongo DB โž
โ—€๏ธ http://mongodb.com

12. Node JS โž
โ—€๏ธ http://nodejsera.com

13. English Speaking โž
โ—€๏ธ https://t.me/englishlearnerspro

14. C#โž
โ—€๏ธhttps://learn.microsoft.com/en-us/training/paths/get-started-c-sharp-part-1/

15. Excelโž
โ—€๏ธ https://t.me/excel_analyst

16. Generative AIโž
โ—€๏ธ https://t.me/generativeai_gpt

17. App Development โž
โ—€๏ธ https://t.me/appsuser

18. Power BI โž
โ—€๏ธ https://t.me/powerbi_analyst

19. Tableau โž
โ—€๏ธ https://www.tableau.com/learn/training

20. Machine Learning โž
โ—€๏ธ http://developers.google.com/machine-learning/crash-course

21. Artificial intelligence โž
โ—€๏ธ http://t.me/machinelearning_deeplearning/

22. Data Analytics โž
โ—€๏ธ https://medium.com/@data_analyst

โ—€๏ธ https://www.linkedin.com/company/sql-analysts

23. Java โž
โ—€๏ธ https://t.me/Java_Programming_Notes

โ—€๏ธ http://learn.microsoft.com/shows/java-for-beginners/

24. C/C++ โž
โ—€๏ธ http://imp.i115008.net/kjoq9V

โ—€๏ธ https://docs.microsoft.com/en-us/cpp/c-language/?view=msvc-170&viewFallbackFrom=vs-2019

25. Data Structures โž
โ—€๏ธ https://leetcode.com/study-plan/data-structure/

26. Cybersecurity โž
โ—€๏ธ https://t.me/EthicalHackingToday

27. Linux โž
โ—€๏ธ https://bit.ly/3KhPdf1

โ—€๏ธ https://training.linuxfoundation.org/resources/

28. Typescript โž
โ—€๏ธ http://learn.microsoft.com/training/paths/build-javascript-applications-typescript/

29. Deep Learning โž
โ—€๏ธ http://introtodeeplearning.com

30. Compiler Design โž
โ—€๏ธ http://online.stanford.edu/courses/soe-ycscs1-compilers

31. DSA โž
โ—€๏ธ http://techdevguide.withgoogle.com/paths/data-structures-and-algorithms/

32. Prompt Engineering โž
โ—€๏ธ https://www.promptingguide.ai/

โ—€๏ธ https://t.me/aiindi

Join @free4unow_backup for more free courses

Like for more โค๏ธ

ENJOY LEARNING๐Ÿ‘๐Ÿ‘
๐Ÿ‘7โค2๐Ÿ‘1
Mastering LinkedLists: Key Questions You Should Know

Easy:
๐Ÿ“Œ Reverse Linked List: https://lnkd.in/g7qP9-YU
๐Ÿ“Œ Merge Two Sorted Lists: https://lnkd.in/gRfC6yyF
๐Ÿ“Œ Remove Nth Node From End of List: https://lnkd.in/gGnGF75X
๐Ÿ“Œ Delete Node in a Linked List: https://lnkd.in/gqzDgFpN
๐Ÿ“Œ Palindrome Linked List: https://lnkd.in/gmEjY4gr

Medium:
๐Ÿ“Œ Add Two Numbers: https://lnkd.in/gvDxHySa
๐Ÿ“Œ Swap Nodes in Pairs: https://lnkd.in/gnhqwidB
๐Ÿ“Œ Odd Even Linked List: https://lnkd.in/gS2QpJAw
๐Ÿ“Œ Intersection of Two Linked Lists: https://lnkd.in/gpwnpK8M
๐Ÿ“Œ Rotate List: https://lnkd.in/gKg_3D34

Hard:
๐Ÿ“Œ Merge k Sorted Lists: https://lnkd.in/g7wK8H8v
๐Ÿ“Œ Reverse Nodes in k-Group: https://lnkd.in/gUNaexhD
๐Ÿ“Œ Copy List with Random Pointer: https://lnkd.in/gBWcFRKe
๐Ÿ“Œ LRU Cache: https://lnkd.in/gURyUMZK
๐Ÿ“Œ Flatten a Multilevel Doubly Linked List: https://lnkd.in/gCtgKNwn

By understanding the answers to these questions, you can build a solid foundation for solving LinkedList-related problems and tackling algorithmic challenges!

To help you discover job openings and resources, I have created a dedicated Job Posting Community. It's a great place to stay updated on the latest job opportunities!

Join Here : https://whatsapp.com/channel/0029VaI5CV93AzNUiZ5Tt226
๐Ÿ‘4
30-days learning plan to master Data Structures and Algorithms (DSA) and prepare for coding interviews.

### Week 1: Foundations and Basic Data Structures

Day 1-3: Arrays and Strings
- Topics to Cover:
- Array basics, operations (insertion, deletion, searching)
- String manipulation
- Two-pointer technique, sliding window technique
- Practice Problems:
- Two Sum
- Maximum Subarray
- Reverse a String
- Longest Substring Without Repeating Characters

Day 4-5: Linked Lists
- Topics to Cover:
- Singly linked list, doubly linked list, circular linked list
- Common operations (insertion, deletion, reversal)
- Practice Problems:
- Reverse a Linked List
- Merge Two Sorted Lists
- Remove Nth Node From End of List

Day 6-7: Stacks and Queues
- Topics to Cover:
- Stack operations (push, pop, top)
- Queue operations (enqueue, dequeue)
- Applications (expression evaluation, backtracking, breadth-first search)
- Practice Problems:
- Valid Parentheses
- Implement Stack using Queues
- Implement Queue using Stacks

### Week 2: Advanced Data Structures

Day 8-10: Trees
- Topics to Cover:
- Binary Trees, Binary Search Trees (BST)
- Tree traversal (preorder, inorder, postorder, level order)
- Practice Problems:
- Invert Binary Tree
- Validate Binary Search Tree
- Serialize and Deserialize Binary Tree

Day 11-13: Heaps and Priority Queues
- Topics to Cover:
- Binary heap (min-heap, max-heap)
- Heap operations (insert, delete, extract-min/max)
- Applications (heap sort, priority queues)
- Practice Problems:
- Kth Largest Element in an Array
- Top K Frequent Elements
- Find Median from Data Stream

Day 14: Hash Tables
- Topics to Cover:
- Hashing concept, hash functions, collision resolution (chaining, open addressing)
- Applications (caching, counting frequencies)
- Practice Problems:
- Two Sum (using hash map)
- Group Anagrams
- Subarray Sum Equals K

### Week 3: Algorithms

Day 15-17: Sorting and Searching Algorithms
- Topics to Cover:
- Sorting algorithms (quick sort, merge sort, bubble sort, insertion sort)
- Searching algorithms (binary search, linear search)
- Practice Problems:
- Merge Intervals
- Search in Rotated Sorted Array
- Sort Colors
- Find Peak Element

Day 18-20: Recursion and Backtracking
- Topics to Cover:
- Basic recursion, tail recursion
- Backtracking (N-Queens, Sudoku solver)
- Practice Problems:
- Permutations
- Combination Sum
- Subsets
- Word Search

Day 21: Divide and Conquer
- Topics to Cover:
- Basic concept, merge sort, quick sort, binary search
- Practice Problems:
- Median of Two Sorted Arrays
- Pow(x, n)
- Kth Largest Element in an Array (using divide and conquer)
- Maximum Subarray (using divide and conquer)

### Week 4: Graphs and Dynamic Programming

Day 22-24: Graphs
- Topics to Cover:
- Graph representations (adjacency list, adjacency matrix)
- Traversal algorithms (DFS, BFS)
- Shortest path algorithms (Dijkstra's, Bellman-Ford)
- Practice Problems:
- Number of Islands

Day 25-27: Dynamic Programming
- Topics to Cover:
- Basic concept, memoization, tabulation
- Common problems (knapsack, longest common subsequence)
- Practice Problems:
- Longest Increasing Subsequence
- Maximum Product Subarray

Day 28: Advanced Topics and Miscellaneous
- Topics to Cover:
- Bit manipulation
- Greedy algorithms
- Miscellaneous problems (trie, segment tree, disjoint set)
- Practice Problems:
- Single Number
- Decode Ways
- Minimum Spanning Tree

### Week 5: Review and Mock Interviews

Day 29: Review and Weakness Analysis
- Activities:
  - Review topics you found difficult
  - Revisit problems you struggled with

Day 30: Mock Interviews and Practice
- Activities:
  - Conduct mock interviews with a friend or use online platforms
  - Focus on communication and explaining your thought process

Top DSA resources to crack coding interview

๐Ÿ‘‰ GeekforGeeks

๐Ÿ‘‰ Leetcode

๐Ÿ‘‰ DSA Steps

๐Ÿ‘‰ FreeCodeCamp

๐Ÿ‘‰ Coding Interviews

๐Ÿ‘‰ Best DSA Resources

Join for more: https://t.me/free4unow_backup

ENJOY LEARNING ๐Ÿ‘๐Ÿ‘
๐Ÿ‘11โค2
How to get job as python fresher?

1. Get Your Python Fundamentals Strong
You should have a clear understanding of Python syntax, statements, variables & operators, control structures, functions & modules, OOP concepts, exception handling, and various other concepts before going out for a Python interview.

2. Learn Python Frameworks
As a beginner, youโ€™re recommended to start with Django as it is considered the standard framework for Python by many developers. An adequate amount of experience with frameworks will not only help you to dive deeper into the Python world but will also help you to stand out among other Python freshers.

3. Build Some Relevant Projects
You can start it by building several minor projects such as Number guessing game, Hangman Game, Website Blocker, and many others. Also, you can opt to build few advanced-level projects once youโ€™ll learn several Python web frameworks and other trending technologies.

@crackingthecodinginterview

4. Get Exposure to Trending Technologies Using Python.
Python is being used with almost every latest tech trend whether it be Artificial Intelligence, Internet of Things (IOT), Cloud Computing, or any other. And getting exposure to these upcoming technologies using Python will not only make you industry-ready but will also give you an edge over others during a career opportunity.

5. Do an Internship & Grow Your Network.
You need to connect with those professionals who are already working in the same industry in which you are aspiring to get into such as Data Science, Machine learning, Web Development, etc.
๐Ÿ‘9โค2๐Ÿ‘1๐Ÿ‘Œ1
Programming, includes a more complex arrangement of processes of which coding is only one.
๐Ÿ‘3
DSA question by understanding patterns

If the input array is sorted then
- Binary search
- Two pointers

If asked for all permutations/subsets then
- Backtracking

If given a tree then
- DFS
- BFS

If given a graph then
- DFS
- BFS

If given a linked list then
- Two pointers

If recursion is banned then
- Stack

If must solve in-place then
- Swap corresponding values
- Store one or more different values in the same pointer

If asked for maximum/minimum subarray/ subset/options then
- Dynamic programming

If asked for top/least K items then
- Heap
- QuickSelect

If asked for common strings then
- Map
- Trie

Else
- Map/Set for O(1) time & O(n) space
- Sort input for O(nlogn) time and O(1) space

๐‰๐จ๐ข๐ง ๐ญ๐ก๐ข๐ฌ ๐ญ๐ž๐ฅ๐ž๐ ๐ซ๐š๐ฆ ๐ ๐ซ๐จ๐ฎ๐ฉ ๐Ÿ๐จ๐ซ ๐ฉ๐ซ๐ž๐ฆ๐ข๐ฎ๐ฆ ๐‰๐จ๐›๐ฌ/Notes: https://t.me/getjobss
๐Ÿ‘10
Step-by-Step Approach

โžŠ Learn One Programming Language
โ†“
โž‹ Fundamentals โ†’ Time & Space Complexity
โ†“
โžŒ Brute Force Algorithms
โ†“
โž Basic Data Structures โ†’ Array, Linked List
โ†“
โžŽ Simple Search Algorithm
โ†“
โž Sorting Techniques โ†’ Bubble, Selection, Insertion
โ†“
โž Slightly Complex Algorithms โ†’ Recursion, DnC
โ†“
โž‘ Complex Data Structures โ†’ Stack, Queue, Tree

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

ENJOY LEARNING ๐Ÿ‘๐Ÿ‘
๐Ÿ‘7โค1๐Ÿฅฐ1
Steps to learn Data Structures and Algorithms (DSA) with Python

1. Learn Python: If you're not already familiar with Python, start by learning the basics of the language. There are many online resources and tutorials available for free.

2. Understand the Basics: Before diving into DSA, make sure you have a good grasp of Python's syntax, data types, and basic programming concepts. Use free resources from @dsabooks to help you in learning journey.

3. Pick Good Learning Resources: Choose a good book, online course, or tutorial series on DSA with Python. Most of the free stuff is already posted on the channel @crackingthecodinginterview

4. Data Structures: Begin with fundamental data structures like lists, arrays, stacks, queues, linked lists, trees, graphs, and hash tables. Understand their properties, operations, and when to use them.

5. Algorithms: Study common algorithms such as searching (binary search, linear search), sorting (quick sort, merge sort), and dynamic programming. Learn about their time and space complexity.

6. Practice: The key to mastering DSA is practice. Solve a wide variety of problems to apply your knowledge. Websites like LeetCode and HackerRank provide a vast collection of problems.

7. Analyze Complexity: Learn how to analyze the time and space complexity of algorithms. Big O notation is a crucial concept in DSA.

8. Implement Algorithms: Implement algorithms and data structures from scratch in Python. This hands-on experience will deepen your understanding.

9. Project Work: Apply DSA to real projects. This could be building a simple game, a small web app, or any software that requires efficient data handling. Check channel @programming_experts if you need project ideas.

10. Seek Help and Collaborate: Don't hesitate to ask for help when you're stuck. Engage in coding communities, forums, or collaborate with others to gain new insights.

11. Review and Revise: Periodically review what you've learned. Reinforce your understanding by revisiting data structures and algorithms you've studied.

12. Competitive Programming: Participate in competitive programming contests. They are a great way to test your skills and improve your problem-solving abilities.

13. Stay Updated: DSA is an ever-evolving field. Stay updated with the latest trends and algorithms.

14. Contribute to Open Source: Consider contributing to open source projects. It's a great way to apply your knowledge and work on real-world code.

15. Teach Others: Teaching what you've learned to others can deepen your understanding. You can create tutorials or mentor someone.

Join @free4unow_backup for more free courses

ENJOY LEARNING ๐Ÿ‘๐Ÿ‘
๐Ÿ‘13โค1
VS Code Shortcuts
โค7๐Ÿ‘2
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 youโ€™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 itโ€™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 youโ€™ll not have any noise distractions.

5. For Zoom/Skype calls, use your desktop or laptop instead of your phone. Theyโ€™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 itโ€™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.
๐Ÿ‘11
โœ…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 ๐Ÿ‘๐Ÿ‘
๐Ÿ‘9
๐Ÿ‘13
Tech Interviews
๐Ÿ‘5
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 ๐Ÿ‘๐Ÿ‘
โค1๐Ÿ‘1
Shoutout to all the late-night codersโ€”may your coffee be strong and your bugs be few!
๐Ÿ‘11๐Ÿ‘4โค2
How to start learning Generative AI
๐Ÿ‘5โค1
Best way to prepare for Python interviews ๐Ÿ‘‡๐Ÿ‘‡

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

Please give us credits while sharing: -> https://t.me/free4unow_backup

ENJOY LEARNING ๐Ÿ‘๐Ÿ‘
๐Ÿ‘5โค1
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.
โค4