𝗪𝗶𝗽𝗿𝗼’𝘀 𝗙𝗿𝗲𝗲 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 𝗔𝗰𝗰𝗲𝗹𝗲𝗿𝗮𝘁𝗼𝗿: 𝗬𝗼𝘂𝗿 𝗙𝗮𝘀𝘁-𝗧𝗿𝗮𝗰𝗸 𝘁𝗼 𝗮 𝗗𝗮𝘁𝗮 𝗖𝗮𝗿𝗲𝗲𝗿!😍
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❤1
SQL Tricks to Level Up Your Database Skills 🚀
SQL is a powerful language, but mastering a few clever tricks can make your queries faster, cleaner, and more efficient. Here are some cool SQL hacks to boost your skills:
1️⃣ Use COALESCE Instead of CASE
Instead of writing a long
This returns the first non-null value in the list.
2️⃣ Generate Sequential Numbers Without a Table
Need a sequence of numbers but don’t have a numbers table? Use
3️⃣ Find Duplicates Quickly
Easily identify duplicate values with
4️⃣ Randomly Select Rows
Want a random sample of data? Use:
- PostgreSQL:
- MySQL:
- SQL Server:
5️⃣ Pivot Data Without PIVOT (For Databases Without It)
Use
6️⃣ Efficiently Get the Last Inserted ID
Instead of running a separate
- MySQL:
- PostgreSQL:
- SQL Server:
Like for more ❤️
SQL is a powerful language, but mastering a few clever tricks can make your queries faster, cleaner, and more efficient. Here are some cool SQL hacks to boost your skills:
1️⃣ Use COALESCE Instead of CASE
Instead of writing a long
CASE statement to handle NULL values, use COALESCE(): SELECT COALESCE(name, 'Unknown') FROM users;
This returns the first non-null value in the list.
2️⃣ Generate Sequential Numbers Without a Table
Need a sequence of numbers but don’t have a numbers table? Use
GENERATE_SERIES (PostgreSQL) or WITH RECURSIVE (MySQL 8+): SELECT generate_series(1, 10);
3️⃣ Find Duplicates Quickly
Easily identify duplicate values with
GROUP BY and HAVING: SELECT email, COUNT(*)
FROM users
GROUP BY email
HAVING COUNT(*) > 1;
4️⃣ Randomly Select Rows
Want a random sample of data? Use:
- PostgreSQL:
ORDER BY RANDOM() - MySQL:
ORDER BY RAND() - SQL Server:
ORDER BY NEWID() 5️⃣ Pivot Data Without PIVOT (For Databases Without It)
Use
CASE with SUM() to pivot data manually: SELECT
user_id,
SUM(CASE WHEN status = 'active' THEN 1 ELSE 0 END) AS active_count,
SUM(CASE WHEN status = 'inactive' THEN 1 ELSE 0 END) AS inactive_count
FROM users
GROUP BY user_id;
6️⃣ Efficiently Get the Last Inserted ID
Instead of running a separate
SELECT, use: - MySQL:
SELECT LAST_INSERT_ID(); - PostgreSQL:
RETURNING id; - SQL Server:
SELECT SCOPE_IDENTITY(); Like for more ❤️
❤1
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Top companies are now hiring across India in multiple domains like IT, Marketing, HR, Sales, and more!
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Select your experience & Complete The Registration Process
Select the company name & apply for the role that matches you
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Express.js Learning Roadmap: From Basics to Advanced
1. Getting Started with Express.js
Introduction to Express.js: Understand why Express.js is used and how it simplifies Node.js applications.
Setup: Install Node.js and Express using npm. Create a basic Express server.
2. Core Concepts
Routing: Define routes using app.get(), app.post(), app.put(), and app.delete().
Middleware: Understand middleware functions and use built-in, third-party, and custom middleware.
Request and Response: Handle HTTP requests (req) and responses (res).
3. Templating Engines
Introduction: Learn about templating engines like EJS, Handlebars, or Pug.
Dynamic HTML: Render dynamic content using templates.
4. Working with RESTful APIs
Create APIs: Build RESTful APIs with Express.
Handle Query Parameters: Parse URL parameters and query strings.
Send JSON Responses: Format and send JSON data to clients.
5. Middleware and Error Handling
Middleware Basics: Use next() for request flow.
Error Handling: Implement custom error-handling middleware.
Logging: Use libraries like morgan for logging requests.
6. Database Integration
Connect to Databases: Integrate MongoDB (Mongoose), MySQL, or PostgreSQL.
Perform CRUD Operations: Build database-backed routes for Create, Read, Update, Delete operations.
7. Authentication and Authorization
Authentication: Implement user authentication using sessions, cookies, or JSON Web Tokens (JWT).
Authorization: Restrict routes to specific user roles.
8. File Uploads and Static Files
File Uploads: Use multer for handling file uploads.
Serve Static Files: Use express.static() to serve images, CSS, and JavaScript files.
9. Advanced Features
CORS: Enable Cross-Origin Resource Sharing for APIs.
Rate Limiting: Protect APIs from abuse using rate-limiting middleware.
Real-Time Features: Integrate with WebSockets for live data.
10. Testing and Debugging
Unit Testing: Test routes using supertest and Jest or Mocha.
Debugging: Use tools like node-inspect or debug library.
11. Deployment
Prepare for Deployment: Use environment variables and production-ready configurations.
Deployment Platforms: Deploy on Heroku, Vercel, or AWS Elastic Beanstalk.
Scaling: Optimize your app for performance and scalability.
12. Build Projects
Beginner: Build a to-do list API.
Intermediate: Develop a blog backend with user authentication.
Advanced: Create a real-time chat application using Express and WebSockets.
Deploy your projects to demonstrate your skills.
📂 Web Development Resources
ENJOY LEARNING 👍👍
1. Getting Started with Express.js
Introduction to Express.js: Understand why Express.js is used and how it simplifies Node.js applications.
Setup: Install Node.js and Express using npm. Create a basic Express server.
2. Core Concepts
Routing: Define routes using app.get(), app.post(), app.put(), and app.delete().
Middleware: Understand middleware functions and use built-in, third-party, and custom middleware.
Request and Response: Handle HTTP requests (req) and responses (res).
3. Templating Engines
Introduction: Learn about templating engines like EJS, Handlebars, or Pug.
Dynamic HTML: Render dynamic content using templates.
4. Working with RESTful APIs
Create APIs: Build RESTful APIs with Express.
Handle Query Parameters: Parse URL parameters and query strings.
Send JSON Responses: Format and send JSON data to clients.
5. Middleware and Error Handling
Middleware Basics: Use next() for request flow.
Error Handling: Implement custom error-handling middleware.
Logging: Use libraries like morgan for logging requests.
6. Database Integration
Connect to Databases: Integrate MongoDB (Mongoose), MySQL, or PostgreSQL.
Perform CRUD Operations: Build database-backed routes for Create, Read, Update, Delete operations.
7. Authentication and Authorization
Authentication: Implement user authentication using sessions, cookies, or JSON Web Tokens (JWT).
Authorization: Restrict routes to specific user roles.
8. File Uploads and Static Files
File Uploads: Use multer for handling file uploads.
Serve Static Files: Use express.static() to serve images, CSS, and JavaScript files.
9. Advanced Features
CORS: Enable Cross-Origin Resource Sharing for APIs.
Rate Limiting: Protect APIs from abuse using rate-limiting middleware.
Real-Time Features: Integrate with WebSockets for live data.
10. Testing and Debugging
Unit Testing: Test routes using supertest and Jest or Mocha.
Debugging: Use tools like node-inspect or debug library.
11. Deployment
Prepare for Deployment: Use environment variables and production-ready configurations.
Deployment Platforms: Deploy on Heroku, Vercel, or AWS Elastic Beanstalk.
Scaling: Optimize your app for performance and scalability.
12. Build Projects
Beginner: Build a to-do list API.
Intermediate: Develop a blog backend with user authentication.
Advanced: Create a real-time chat application using Express and WebSockets.
Deploy your projects to demonstrate your skills.
📂 Web Development Resources
ENJOY LEARNING 👍👍
❤1
𝗕𝗲𝗰𝗼𝗺𝗲 𝗮 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗲𝗱 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝘁𝗶𝘀𝘁 𝗜𝗻 𝗧𝗼𝗽 𝗠𝗡𝗖𝘀😍
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Curriculum designed and taught by Alumni from IITs & Leading Tech Companies.
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- 100% Job Assistance
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Learn Data Analytics, Data Science & AI From Top Data Experts
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- 500+ Partner Companies
- 100% Job Assistance
- 5.7 LPA Average Salary
𝗕𝗼𝗼𝗸 𝗮 𝗙𝗥𝗘𝗘 𝗖𝗼𝘂𝗻𝘀𝗲𝗹𝗹𝗶𝗻𝗴 𝗦𝗲𝘀𝘀𝗶𝗼𝗻👇 :
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𝟯 𝗙𝗥𝗘𝗘 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 𝘁𝗼 𝗦𝘁𝗮𝗿𝘁 𝗬𝗼𝘂𝗿 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗖𝗮𝗿𝗲𝗲𝗿 𝗶𝗻 𝟮𝟬𝟮𝟱!😍
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❤1
Complete roadmap to learn Python and Data Structures & Algorithms (DSA) in 2 months
### Week 1: Introduction to Python
Day 1-2: Basics of Python
- Python setup (installation and IDE setup)
- Basic syntax, variables, and data types
- Operators and expressions
Day 3-4: Control Structures
- Conditional statements (if, elif, else)
- Loops (for, while)
Day 5-6: Functions and Modules
- Function definitions, parameters, and return values
- Built-in functions and importing modules
Day 7: Practice Day
- Solve basic problems on platforms like HackerRank or LeetCode
### Week 2: Advanced Python Concepts
Day 8-9: Data Structures in Python
- Lists, tuples, sets, and dictionaries
- List comprehensions and generator expressions
Day 10-11: Strings and File I/O
- String manipulation and methods
- Reading from and writing to files
Day 12-13: Object-Oriented Programming (OOP)
- Classes and objects
- Inheritance, polymorphism, encapsulation
Day 14: Practice Day
- Solve intermediate problems on coding platforms
### Week 3: Introduction to Data Structures
Day 15-16: Arrays and Linked Lists
- Understanding arrays and their operations
- Singly and doubly linked lists
Day 17-18: Stacks and Queues
- Implementation and applications of stacks
- Implementation and applications of queues
Day 19-20: Recursion
- Basics of recursion and solving problems using recursion
- Recursive vs iterative solutions
Day 21: Practice Day
- Solve problems related to arrays, linked lists, stacks, and queues
### Week 4: Fundamental Algorithms
Day 22-23: Sorting Algorithms
- Bubble sort, selection sort, insertion sort
- Merge sort and quicksort
Day 24-25: Searching Algorithms
- Linear search and binary search
- Applications and complexity analysis
Day 26-27: Hashing
- Hash tables and hash functions
- Collision resolution techniques
Day 28: Practice Day
- Solve problems on sorting, searching, and hashing
### Week 5: Advanced Data Structures
Day 29-30: Trees
- Binary trees, binary search trees (BST)
- Tree traversals (in-order, pre-order, post-order)
Day 31-32: Heaps and Priority Queues
- Understanding heaps (min-heap, max-heap)
- Implementing priority queues using heaps
Day 33-34: Graphs
- Representation of graphs (adjacency matrix, adjacency list)
- Depth-first search (DFS) and breadth-first search (BFS)
Day 35: Practice Day
- Solve problems on trees, heaps, and graphs
### Week 6: Advanced Algorithms
Day 36-37: Dynamic Programming
- Introduction to dynamic programming
- Solving common DP problems (e.g., Fibonacci, knapsack)
Day 38-39: Greedy Algorithms
- Understanding greedy strategy
- Solving problems using greedy algorithms
Day 40-41: Graph Algorithms
- Dijkstra’s algorithm for shortest path
- Kruskal’s and Prim’s algorithms for minimum spanning tree
Day 42: Practice Day
- Solve problems on dynamic programming, greedy algorithms, and advanced graph algorithms
### Week 7: Problem Solving and Optimization
Day 43-44: Problem-Solving Techniques
- Backtracking, bit manipulation, and combinatorial problems
Day 45-46: Practice Competitive Programming
- Participate in contests on platforms like Codeforces or CodeChef
Day 47-48: Mock Interviews and Coding Challenges
- Simulate technical interviews
- Focus on time management and optimization
Day 49: Review and Revise
- Go through notes and previously solved problems
- Identify weak areas and work on them
### Week 8: Final Stretch and Project
Day 50-52: Build a Project
- Use your knowledge to build a substantial project in Python involving DSA concepts
Day 53-54: Code Review and Testing
- Refactor your project code
- Write tests for your project
Day 55-56: Final Practice
- Solve problems from previous contests or new challenging problems
Day 57-58: Documentation and Presentation
- Document your project and prepare a presentation or a detailed report
Day 59-60: Reflection and Future Plan
- Reflect on what you've learned
- Plan your next steps (advanced topics, more projects, etc.)
Best DSA RESOURCES: https://topmate.io/coding/886874
Credits: https://news.1rj.ru/str/free4unow_backup
ENJOY LEARNING 👍👍
### Week 1: Introduction to Python
Day 1-2: Basics of Python
- Python setup (installation and IDE setup)
- Basic syntax, variables, and data types
- Operators and expressions
Day 3-4: Control Structures
- Conditional statements (if, elif, else)
- Loops (for, while)
Day 5-6: Functions and Modules
- Function definitions, parameters, and return values
- Built-in functions and importing modules
Day 7: Practice Day
- Solve basic problems on platforms like HackerRank or LeetCode
### Week 2: Advanced Python Concepts
Day 8-9: Data Structures in Python
- Lists, tuples, sets, and dictionaries
- List comprehensions and generator expressions
Day 10-11: Strings and File I/O
- String manipulation and methods
- Reading from and writing to files
Day 12-13: Object-Oriented Programming (OOP)
- Classes and objects
- Inheritance, polymorphism, encapsulation
Day 14: Practice Day
- Solve intermediate problems on coding platforms
### Week 3: Introduction to Data Structures
Day 15-16: Arrays and Linked Lists
- Understanding arrays and their operations
- Singly and doubly linked lists
Day 17-18: Stacks and Queues
- Implementation and applications of stacks
- Implementation and applications of queues
Day 19-20: Recursion
- Basics of recursion and solving problems using recursion
- Recursive vs iterative solutions
Day 21: Practice Day
- Solve problems related to arrays, linked lists, stacks, and queues
### Week 4: Fundamental Algorithms
Day 22-23: Sorting Algorithms
- Bubble sort, selection sort, insertion sort
- Merge sort and quicksort
Day 24-25: Searching Algorithms
- Linear search and binary search
- Applications and complexity analysis
Day 26-27: Hashing
- Hash tables and hash functions
- Collision resolution techniques
Day 28: Practice Day
- Solve problems on sorting, searching, and hashing
### Week 5: Advanced Data Structures
Day 29-30: Trees
- Binary trees, binary search trees (BST)
- Tree traversals (in-order, pre-order, post-order)
Day 31-32: Heaps and Priority Queues
- Understanding heaps (min-heap, max-heap)
- Implementing priority queues using heaps
Day 33-34: Graphs
- Representation of graphs (adjacency matrix, adjacency list)
- Depth-first search (DFS) and breadth-first search (BFS)
Day 35: Practice Day
- Solve problems on trees, heaps, and graphs
### Week 6: Advanced Algorithms
Day 36-37: Dynamic Programming
- Introduction to dynamic programming
- Solving common DP problems (e.g., Fibonacci, knapsack)
Day 38-39: Greedy Algorithms
- Understanding greedy strategy
- Solving problems using greedy algorithms
Day 40-41: Graph Algorithms
- Dijkstra’s algorithm for shortest path
- Kruskal’s and Prim’s algorithms for minimum spanning tree
Day 42: Practice Day
- Solve problems on dynamic programming, greedy algorithms, and advanced graph algorithms
### Week 7: Problem Solving and Optimization
Day 43-44: Problem-Solving Techniques
- Backtracking, bit manipulation, and combinatorial problems
Day 45-46: Practice Competitive Programming
- Participate in contests on platforms like Codeforces or CodeChef
Day 47-48: Mock Interviews and Coding Challenges
- Simulate technical interviews
- Focus on time management and optimization
Day 49: Review and Revise
- Go through notes and previously solved problems
- Identify weak areas and work on them
### Week 8: Final Stretch and Project
Day 50-52: Build a Project
- Use your knowledge to build a substantial project in Python involving DSA concepts
Day 53-54: Code Review and Testing
- Refactor your project code
- Write tests for your project
Day 55-56: Final Practice
- Solve problems from previous contests or new challenging problems
Day 57-58: Documentation and Presentation
- Document your project and prepare a presentation or a detailed report
Day 59-60: Reflection and Future Plan
- Reflect on what you've learned
- Plan your next steps (advanced topics, more projects, etc.)
Best DSA RESOURCES: https://topmate.io/coding/886874
Credits: https://news.1rj.ru/str/free4unow_backup
ENJOY LEARNING 👍👍
❤3
🔥𝗙𝗿𝗲𝗲 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 – 𝗘𝗻𝗿𝗼𝗹𝗹 𝗕𝗲𝗳𝗼𝗿𝗲 𝗜𝘁 𝗘𝗻𝗱𝘀!
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SQL table interview questions:
1. What is a DUAL table and why do we need it?
- it is a special table which gets created automatically when we install Oracle database. It can be used to select pseudo columns, perform calculations and also as sequence generator etc.
2. How many columns and rows are present in DUAL table?
- one column & one row by default.
3. Can we insert more rows in to DUAL table?
- Yes.
4. What's the easiest way to backup a table / how can we create a table based on existing table?
- CREATE TABLE SALES_COPY AS SELECT * FROM SALES.
5. Can we drop all the columns from a table?
- No.
6. What is the difference between count(1) and count(*)?
- Both are same. Both consume same amount of resources, Both perform same operation
1. What is a DUAL table and why do we need it?
- it is a special table which gets created automatically when we install Oracle database. It can be used to select pseudo columns, perform calculations and also as sequence generator etc.
2. How many columns and rows are present in DUAL table?
- one column & one row by default.
3. Can we insert more rows in to DUAL table?
- Yes.
4. What's the easiest way to backup a table / how can we create a table based on existing table?
- CREATE TABLE SALES_COPY AS SELECT * FROM SALES.
5. Can we drop all the columns from a table?
- No.
6. What is the difference between count(1) and count(*)?
- Both are same. Both consume same amount of resources, Both perform same operation
❤3
𝗟𝗮𝘂𝗻𝗰𝗵 𝗬𝗼𝘂𝗿 𝗧𝗲𝗰𝗵 𝗖𝗮𝗿𝗲𝗲𝗿 𝗶𝗻 𝟮𝟬𝟮𝟱 — 𝗪𝗶𝘁𝗵 𝗠𝗶𝗰𝗿𝗼𝘀𝗼𝗳𝘁’𝘀 𝗙𝗿𝗲𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗣𝗮𝘁𝗵𝘀!😍
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❤2
5 Algorithms you must know as a data scientist 👩💻 🧑💻
1. Dimensionality Reduction
- PCA, t-SNE, LDA
2. Regression models
- Linesr regression, Kernel-based regression models, Lasso Regression, Ridge regression, Elastic-net regression
3. Classification models
- Binary classification- Logistic regression, SVM
- Multiclass classification- One versus one, one versus many
- Multilabel classification
4. Clustering models
- K Means clustering, Hierarchical clustering, DBSCAN, BIRCH models
5. Decision tree based models
- CART model, ensemble models(XGBoost, LightGBM, CatBoost)
Best Data Science & Machine Learning Resources: https://topmate.io/coding/914624
Join our WhatsApp channel: https://whatsapp.com/channel/0029Va8v3eo1NCrQfGMseL2D
Like if you need similar content 😄👍
1. Dimensionality Reduction
- PCA, t-SNE, LDA
2. Regression models
- Linesr regression, Kernel-based regression models, Lasso Regression, Ridge regression, Elastic-net regression
3. Classification models
- Binary classification- Logistic regression, SVM
- Multiclass classification- One versus one, one versus many
- Multilabel classification
4. Clustering models
- K Means clustering, Hierarchical clustering, DBSCAN, BIRCH models
5. Decision tree based models
- CART model, ensemble models(XGBoost, LightGBM, CatBoost)
Best Data Science & Machine Learning Resources: https://topmate.io/coding/914624
Join our WhatsApp channel: https://whatsapp.com/channel/0029Va8v3eo1NCrQfGMseL2D
Like if you need similar content 😄👍
❤3
1: How would you preprocess and tokenize text data from tweets for sentiment analysis? Discuss potential challenges and solutions.
- Answer: Preprocessing and tokenizing text data for sentiment analysis involves tasks like lowercasing, removing stop words, and stemming or lemmatization. Handling challenges like handling emojis, slang, and noisy text is crucial. Tools like NLTK or spaCy can assist in these tasks.
2: Explain the collaborative filtering approach in building recommendation systems. How might Twitter use this to enhance user experience?
- Answer: Collaborative filtering recommends items based on user preferences and similarities. Techniques include user-based or item-based collaborative filtering and matrix factorization. Twitter could leverage user interactions to recommend tweets, users, or topics.
3: Write a Python or Scala function to count the frequency of hashtags in a given collection of tweets.
- Answer (Python):
4: How does graph analysis contribute to understanding user interactions and content propagation on Twitter? Provide a specific use case.
- Answer: Graph analysis on Twitter involves examining user interactions. For instance, identifying influential users or detecting communities based on retweet or mention networks. Algorithms like PageRank or Louvain Modularity can aid in these analyses.
- Answer: Preprocessing and tokenizing text data for sentiment analysis involves tasks like lowercasing, removing stop words, and stemming or lemmatization. Handling challenges like handling emojis, slang, and noisy text is crucial. Tools like NLTK or spaCy can assist in these tasks.
2: Explain the collaborative filtering approach in building recommendation systems. How might Twitter use this to enhance user experience?
- Answer: Collaborative filtering recommends items based on user preferences and similarities. Techniques include user-based or item-based collaborative filtering and matrix factorization. Twitter could leverage user interactions to recommend tweets, users, or topics.
3: Write a Python or Scala function to count the frequency of hashtags in a given collection of tweets.
- Answer (Python):
def count_hashtags(tweet_collection):
hashtags_count = {}
for tweet in tweet_collection:
hashtags = [word for word in tweet.split() if word.startswith('#')]
for hashtag in hashtags:
hashtags_count[hashtag] = hashtags_count.get(hashtag, 0) + 1
return hashtags_count
4: How does graph analysis contribute to understanding user interactions and content propagation on Twitter? Provide a specific use case.
- Answer: Graph analysis on Twitter involves examining user interactions. For instance, identifying influential users or detecting communities based on retweet or mention networks. Algorithms like PageRank or Louvain Modularity can aid in these analyses.
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📚40 Windows Command Prompt commands you need to know📚
1. ipconfig
2. ipconfig /all
3. findstr
4. ipconfig /release
5. ipconfig /renew
6. ipconfig /displaydns
7. clip
8. ipconfig /flushdns
9. nslookup
10. cls
11. getmac /v
12. powercfg /energy
13. powercfg /batteryreport
14. assoc
15. chkdsk /f
16. chkdsk /r
17. Follow Coding Army
17. sfc /scannow
18. DISM /Online /Cleanup /CheckHealth
19. DISM /Online /Cleanup /ScanHealth
20. DISM /Online /Cleanup /RestoreHealth
21. tasklist
22. taskkill
23. netsh wlan show wlanreport
24. netsh interface show interface
25. netsh interface ip show address | findstr "IP Address"
26. netsh interface ip show dnsservers
27. netsh advfirewall set allprofiles state off
28. netsh advfirewall set allprofiles state on
29. ping
30. ping -t
31. tracert
32. tracert -d
33. netstat
34. netstat -af
35. netstat -o
36. netstat -e -t 5
37. route print
38. route add
39. route delete
40. shutdown /r /fw /f /t 0
Command 40:
*Details:*
The command
https://whatsapp.com/channel/0029VancSnGG8l5KQYOOyL1T
1. ipconfig
2. ipconfig /all
3. findstr
4. ipconfig /release
5. ipconfig /renew
6. ipconfig /displaydns
7. clip
8. ipconfig /flushdns
9. nslookup
10. cls
11. getmac /v
12. powercfg /energy
13. powercfg /batteryreport
14. assoc
15. chkdsk /f
16. chkdsk /r
17. Follow Coding Army
17. sfc /scannow
18. DISM /Online /Cleanup /CheckHealth
19. DISM /Online /Cleanup /ScanHealth
20. DISM /Online /Cleanup /RestoreHealth
21. tasklist
22. taskkill
23. netsh wlan show wlanreport
24. netsh interface show interface
25. netsh interface ip show address | findstr "IP Address"
26. netsh interface ip show dnsservers
27. netsh advfirewall set allprofiles state off
28. netsh advfirewall set allprofiles state on
29. ping
30. ping -t
31. tracert
32. tracert -d
33. netstat
34. netstat -af
35. netstat -o
36. netstat -e -t 5
37. route print
38. route add
39. route delete
40. shutdown /r /fw /f /t 0
Command 40:
*Details:*
The command
shutdown /r/fw/f/t 0 restarts the computer immediately and forces it to boot directly into the BIOS or UEFI firmware settings, bypassing the normal Windows startup process. It's a convenient way to access your firmware settings without having to repeatedly press a specific key during startup (like Del, F2, F10, F12, Esc, etc., which vary depending on the motherboard manufacturer.https://whatsapp.com/channel/0029VancSnGG8l5KQYOOyL1T
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🔟 Web development project ideas for beginners
Personal Portfolio Website: Create a website showcasing your skills, projects, and resume. This will help you practice HTML, CSS, and potentially some JavaScript for interactivity.
To-Do List App: Build a simple to-do list application using HTML, CSS, and JavaScript. You can gradually enhance it by adding features like task priority, due dates, and local storage.
Blog Platform: Create a basic blog platform where users can create, edit, and delete posts. This will give you experience with user authentication, databases, and CRUD operations.
E-commerce Website: Design a mock e-commerce site to learn about product listings, shopping carts, and checkout processes. This project will introduce you to handling user input and creating dynamic content.
Weather App: Develop a weather app that fetches data from a weather API and displays current conditions and forecasts. This project will involve API integration and working with JSON data.
Recipe Sharing Site: Build a platform where users can share and browse recipes. You can implement search functionality and user authentication to enhance the project.
Social Media Dashboard: Create a simplified social media dashboard that displays metrics like followers, likes, and comments. This project will help you practice data visualization and working with APIs.
Online Quiz App: Develop an online quiz application that lets users take quizzes on various topics. You can include features like multiple-choice questions, timers, and score tracking.
Personal Blog: Start your own blog by developing a content management system (CMS) where you can create, edit, and publish articles. This will give you hands-on experience with database management.
Event Countdown Timer: Build a countdown timer for upcoming events. You can make it interactive by allowing users to set their own event names and dates.
Remember, the key is to start small and gradually add complexity to your projects as you become more comfortable with different technologies concepts. These projects will not only showcase your skills to potential employers but also help you learn and grow as a web developer.
Free Resources to learn web development https://news.1rj.ru/str/free4unow_backup/554
ENJOY LEARNING 👍👍
Personal Portfolio Website: Create a website showcasing your skills, projects, and resume. This will help you practice HTML, CSS, and potentially some JavaScript for interactivity.
To-Do List App: Build a simple to-do list application using HTML, CSS, and JavaScript. You can gradually enhance it by adding features like task priority, due dates, and local storage.
Blog Platform: Create a basic blog platform where users can create, edit, and delete posts. This will give you experience with user authentication, databases, and CRUD operations.
E-commerce Website: Design a mock e-commerce site to learn about product listings, shopping carts, and checkout processes. This project will introduce you to handling user input and creating dynamic content.
Weather App: Develop a weather app that fetches data from a weather API and displays current conditions and forecasts. This project will involve API integration and working with JSON data.
Recipe Sharing Site: Build a platform where users can share and browse recipes. You can implement search functionality and user authentication to enhance the project.
Social Media Dashboard: Create a simplified social media dashboard that displays metrics like followers, likes, and comments. This project will help you practice data visualization and working with APIs.
Online Quiz App: Develop an online quiz application that lets users take quizzes on various topics. You can include features like multiple-choice questions, timers, and score tracking.
Personal Blog: Start your own blog by developing a content management system (CMS) where you can create, edit, and publish articles. This will give you hands-on experience with database management.
Event Countdown Timer: Build a countdown timer for upcoming events. You can make it interactive by allowing users to set their own event names and dates.
Remember, the key is to start small and gradually add complexity to your projects as you become more comfortable with different technologies concepts. These projects will not only showcase your skills to potential employers but also help you learn and grow as a web developer.
Free Resources to learn web development https://news.1rj.ru/str/free4unow_backup/554
ENJOY LEARNING 👍👍
❤2
𝗧𝗼𝗽 𝗖𝗼𝗺𝗽𝗮𝗻𝗶𝗲𝘀 𝗟𝗶𝗸𝗲 𝗜𝗻𝗳𝗼𝘀𝘆𝘀 , 𝗚𝗲𝗻𝗽𝗮𝗰𝘁 ,𝗟&𝗧 ,𝗣𝗵𝗶𝗹𝗶𝗽𝘀 & 𝗢𝗿𝗮𝗰𝗹𝗲 𝗛𝗶𝗿𝗶𝗻𝗴 😍
Roles Hiring:- Data Analyst, Software Engineer & Associate
Job Location:- Across India/WFH
Qualification:- Graduate/Post Graduate
𝗔𝗽𝗽𝗹𝘆 𝗡𝗼𝘄👇:-
https://bit.ly/44qMX2k
Select your experience & Complete The Registration Process
Select the company name & apply for the role that matches you
Roles Hiring:- Data Analyst, Software Engineer & Associate
Job Location:- Across India/WFH
Qualification:- Graduate/Post Graduate
𝗔𝗽𝗽𝗹𝘆 𝗡𝗼𝘄👇:-
https://bit.ly/44qMX2k
Select your experience & Complete The Registration Process
Select the company name & apply for the role that matches you
❤1
Forwarded from Coding Projects
𝗙𝗥𝗘𝗘 𝗥𝗲𝘀𝗼𝘂𝗿𝗰𝗲𝘀 𝗧𝗼 𝗖𝗿𝗮𝗰𝗸 𝗬𝗼𝘂𝗿 𝗡𝗲𝘅𝘁 𝗜𝗻𝘁𝗲𝗿𝘃𝗶𝗲𝘄 😍
Preparing for coding interviews? These free resources will help you crack your dream job! 📌
Ace Your Next Interview with These FREE Resources!👨💻
𝐋𝐢𝐧𝐤👇:-
https://pdlink.in/3FjrIVX
All The Best 🎊
Preparing for coding interviews? These free resources will help you crack your dream job! 📌
Ace Your Next Interview with These FREE Resources!👨💻
𝐋𝐢𝐧𝐤👇:-
https://pdlink.in/3FjrIVX
All The Best 🎊
❤1
General tips for coding interviews
Always validate input first. Check for inputs that are invalid, empty, negative, or different. Never assume you are given the valid parameters. Alternatively, clarify with the interviewer whether you can assume valid input (usually yes), which can save you time from writing code that does input validation.
Are there any time and space complexities requirements or constraints?
Check for off-by-one errors.
In languages where there are no automatic type coercion, check that concatenation of values are of the same type: int,str, and list.
After you finish your code, use a few example inputs to test your solution.
Is the algorithm supposed to run multiple times, perhaps on a web server? If yes, the input can likely be pre-processed to improve the efficiency in each API call.
Use a mix of functional and imperative programming paradigms:
🔹 Write pure functions as often as possible.
🔹 Use pure functions because they are easier to reason with and can help reduce bugs in your implementation.
🔹 Avoid mutating the parameters passed into your function, especially if they are passed by reference, unless you are sure of what you are doing.
🔹 Achieve a balance between accuracy and efficiency. Use the right amount of functional and imperative code where appropriate. Functional programming is usually expensive in terms of space complexity because of non-mutation and the repeated allocation of new objects. On the other hand, imperative code is faster because you operate on existing objects.
🔹 Avoid relying on mutating global variables. Global variables introduce state.
🔹 Make sure that you do not accidentally mutate global variables, especially if you have to rely on them.
Always validate input first. Check for inputs that are invalid, empty, negative, or different. Never assume you are given the valid parameters. Alternatively, clarify with the interviewer whether you can assume valid input (usually yes), which can save you time from writing code that does input validation.
Are there any time and space complexities requirements or constraints?
Check for off-by-one errors.
In languages where there are no automatic type coercion, check that concatenation of values are of the same type: int,str, and list.
After you finish your code, use a few example inputs to test your solution.
Is the algorithm supposed to run multiple times, perhaps on a web server? If yes, the input can likely be pre-processed to improve the efficiency in each API call.
Use a mix of functional and imperative programming paradigms:
🔹 Write pure functions as often as possible.
🔹 Use pure functions because they are easier to reason with and can help reduce bugs in your implementation.
🔹 Avoid mutating the parameters passed into your function, especially if they are passed by reference, unless you are sure of what you are doing.
🔹 Achieve a balance between accuracy and efficiency. Use the right amount of functional and imperative code where appropriate. Functional programming is usually expensive in terms of space complexity because of non-mutation and the repeated allocation of new objects. On the other hand, imperative code is faster because you operate on existing objects.
🔹 Avoid relying on mutating global variables. Global variables introduce state.
🔹 Make sure that you do not accidentally mutate global variables, especially if you have to rely on them.
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𝐏𝐚𝐲 𝐀𝐟𝐭𝐞𝐫 𝐏𝐥𝐚𝐜𝐞𝐦𝐞𝐧𝐭 - 𝐆𝐞𝐭 𝐏𝐥𝐚𝐜𝐞𝐝 𝐈𝐧 𝐓𝐨𝐩 𝐌𝐍𝐂'𝐬 😍
Learn Coding From Scratch - Lectures Taught By IIT Alumni
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Hurry, limited seats available!🏃♀️
Learn Coding From Scratch - Lectures Taught By IIT Alumni
60+ Hiring Drives Every Month
𝐇𝐢𝐠𝐡𝐥𝐢𝐠𝐡𝐭𝐬:-
🌟 Trusted by 7500+ Students
🤝 500+ Hiring Partners
💼 Avg. Rs. 7.4 LPA
🚀 41 LPA Highest Package
Eligibility: BTech / BCA / BSc / MCA / MSc
𝐑𝐞𝐠𝐢𝐬𝐭𝐞𝐫 𝐍𝐨𝐰👇 :-
https://pdlink.in/4hO7rWY
Hurry, limited seats available!🏃♀️
❤1
Here are some interview preparation tips 👇👇
Technical Interview
1. Review Core Concepts:
- Data Structures: Be comfortable with LinkedLists, Trees, Graphs, and their representations.
- Algorithms: Brush up on searching and sorting algorithms, time complexities, and common algorithms (like Dijkstra’s or A*).
- Programming Languages: Ensure you understand the language you are most comfortable with (e.g., C++, Java, Python) and know its standard library functions.
2. Practice Coding Problems:
- Utilize platforms like LeetCode, HackerRank, or CodeSignal to practice medium-level coding questions. Focus on common patterns and problem-solving strategies.
3. Mock Interviews: Conduct mock technical interviews with peers or mentors to build confidence and receive feedback.
Personal Interview
1. Prepare Your Story:
- Outline your educational journey, achievements, and any relevant projects. Emphasize experiences that demonstrate leadership, teamwork, and problem-solving skills.
- Be ready to discuss your challenges and how you overcame them.
2. Articulate Your Goals:
- Be clear about why you want to join the program and how it aligns with your career aspirations. Reflect on what you hope to gain from the experience.
- Focus on Fundamentals:
Be thorough with basic subjects like Operating Systems, Networking, OOP, and Databases. Clear concepts are key for technical interviews.
2. Common Interview Questions:
DSA:
- Implement various data structures like Linked Lists, Trees, Graphs, Stacks, and Queues.
- Understand searching and sorting algorithms: Binary Search, Merge Sort, Quick Sort, etc.
- Solve problems involving HashMaps, Sets, and other collections.
Sample DSA Questions
- Reverse a linked list.
- Find the first non-repeating character in a string.
- Detect a cycle in a graph.
- Implement a queue using two stacks.
- Find the lowest common ancestor in a binary tree.
3. Key Topics to Focus On
DSA:
- Arrays, Strings, Linked Lists, Trees, Graphs
- Recursion, Backtracking, Dynamic Programming
- Sorting and Searching Algorithms
- Time and Space Complexity
Core Subjects
- Operating Systems: Concepts like processes, threads, deadlocks, concurrency, and memory management.
- Database Management Systems (DBMS): Understanding SQL, Normalization, and database design.
- Object-Oriented Programming (OOP): Know about inheritance, polymorphism, encapsulation, and design patterns.
5. Tips
- Optimize Your Code: Write clean, optimized code. Discuss time and space complexities during interviews.
- Review Your Projects: Be ready to explain your past projects, the challenges you faced, and the technologies you used.....
Best Programming Resources: https://topmate.io/coding/898340
All the best 👍👍
Technical Interview
1. Review Core Concepts:
- Data Structures: Be comfortable with LinkedLists, Trees, Graphs, and their representations.
- Algorithms: Brush up on searching and sorting algorithms, time complexities, and common algorithms (like Dijkstra’s or A*).
- Programming Languages: Ensure you understand the language you are most comfortable with (e.g., C++, Java, Python) and know its standard library functions.
2. Practice Coding Problems:
- Utilize platforms like LeetCode, HackerRank, or CodeSignal to practice medium-level coding questions. Focus on common patterns and problem-solving strategies.
3. Mock Interviews: Conduct mock technical interviews with peers or mentors to build confidence and receive feedback.
Personal Interview
1. Prepare Your Story:
- Outline your educational journey, achievements, and any relevant projects. Emphasize experiences that demonstrate leadership, teamwork, and problem-solving skills.
- Be ready to discuss your challenges and how you overcame them.
2. Articulate Your Goals:
- Be clear about why you want to join the program and how it aligns with your career aspirations. Reflect on what you hope to gain from the experience.
- Focus on Fundamentals:
Be thorough with basic subjects like Operating Systems, Networking, OOP, and Databases. Clear concepts are key for technical interviews.
2. Common Interview Questions:
DSA:
- Implement various data structures like Linked Lists, Trees, Graphs, Stacks, and Queues.
- Understand searching and sorting algorithms: Binary Search, Merge Sort, Quick Sort, etc.
- Solve problems involving HashMaps, Sets, and other collections.
Sample DSA Questions
- Reverse a linked list.
- Find the first non-repeating character in a string.
- Detect a cycle in a graph.
- Implement a queue using two stacks.
- Find the lowest common ancestor in a binary tree.
3. Key Topics to Focus On
DSA:
- Arrays, Strings, Linked Lists, Trees, Graphs
- Recursion, Backtracking, Dynamic Programming
- Sorting and Searching Algorithms
- Time and Space Complexity
Core Subjects
- Operating Systems: Concepts like processes, threads, deadlocks, concurrency, and memory management.
- Database Management Systems (DBMS): Understanding SQL, Normalization, and database design.
- Object-Oriented Programming (OOP): Know about inheritance, polymorphism, encapsulation, and design patterns.
5. Tips
- Optimize Your Code: Write clean, optimized code. Discuss time and space complexities during interviews.
- Review Your Projects: Be ready to explain your past projects, the challenges you faced, and the technologies you used.....
Best Programming Resources: https://topmate.io/coding/898340
All the best 👍👍
❤3
𝗕𝗼𝗼𝘀𝘁 𝗬𝗼𝘂𝗿 𝗥𝗲𝘀𝘂𝗺𝗲 𝘄𝗶𝘁𝗵 𝗧𝗵𝗲𝘀𝗲 𝗛𝗮𝗻𝗱𝘀-𝗢𝗻 𝗣𝘆𝘁𝗵𝗼𝗻 𝗣𝗿𝗼𝗷𝗲𝗰𝘁𝘀 (𝗙𝗿𝗲𝗲 𝗬𝗼𝘂𝗧𝘂𝗯𝗲 𝗧𝘂𝘁𝗼𝗿𝗶𝗮𝗹𝘀)😍
Want to stand out with real Python experience?👨💻💡
These full-length YouTube tutorials walk you through resume-worthy projects — perfect for beginners aiming to move beyond theory.📚📌
𝐋𝐢𝐧𝐤👇:-
https://pdlink.in/456I3Yl
Here are 5 projects you can start today👆✅️
Want to stand out with real Python experience?👨💻💡
These full-length YouTube tutorials walk you through resume-worthy projects — perfect for beginners aiming to move beyond theory.📚📌
𝐋𝐢𝐧𝐤👇:-
https://pdlink.in/456I3Yl
Here are 5 projects you can start today👆✅️
❤2