Coding Projects
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Channel specialized for advanced concepts and projects to master:
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Want to get started with System design interview preparation, start with these 👇

1. Learn to understand requirements
2. Learn the difference between horizontal and vertical scaling.
3. Study latency and throughput trade-offs and optimization techniques.
4. Understand the CAP Theorem (Consistency, Availability, Partition Tolerance).
5. Learn HTTP/HTTPS protocols, request-response lifecycle, and headers.
6. Understand DNS and how domain resolution works.
7. Study load balancers, their types (Layer 4 and Layer 7), and algorithms.
8. Learn about CDNs, their use cases, and caching strategies.
9. Understand SQL databases (ACID properties, normalization) and NoSQL types (key–value, document, graph).
10. Study caching tools (Redis, Memcached) and strategies (write-through, write-back, eviction policies).
11. Learn about blob storage systems like S3 or Google Cloud Storage.
12. Study sharding and horizontal partitioning of databases.
13. Understand replication (leader–follower, multi-leader) and consistency models.
14. Learn failover mechanisms like active-passive and active-active setups.
15. Study message queues like RabbitMQ, Kafka, and SQS.
16. Understand consensus algorithms such as Paxos and Raft.
17. Learn event-driven architectures, Pub/Sub models, and event sourcing.
18. Study distributed transactions (two-phase commit, sagas).
19. Learn rate-limiting techniques (token bucket, leaky bucket algorithms).
20. Study API design principles for REST, GraphQL, and gRPC.
21. Understand microservices architecture, communication, and trade-offs with monoliths.
22. Learn authentication and authorization methods (OAuth, JWT, SSO).
23. Study metrics collection tools like Prometheus or Datadog.
24. Understand logging systems (e.g., ELK stack) and tracing tools (OpenTelemetry, Jaeger).
25.Learn about encryption (data at rest and in transit) and rate-limiting for security.
26. And then practise the most commonly asked questions like URL shorteners, chat systems, ride-sharing apps, search engines, video streaming, and e-commerce websites

Coding Interview Resources: https://whatsapp.com/channel/0029VammZijATRSlLxywEC3X
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15 Best Project Ideas for Backend Development : 🛠️🌐

🚀 Beginner Level :

1. 📦 RESTful API for a To-Do App
2. 📝 Contact Form Backend
3. 🗂️ File Upload Service
4. 📬 Email Subscription Service
5. 🧾 Notes App Backend

🌟 Intermediate Level :
6. 🛒 E-commerce Backend with Cart & Orders
7. 🔐 Authentication System (JWT/OAuth)
8. 🧑‍🤝‍🧑 User Management API
9. 🧾 Invoice Generator API
10. 🧠 Blog CMS Backend

🌌 Advanced Level :
11. 🧠 AI Chatbot Backend Integration
12. 📈 Real-Time Stock Tracker using WebSockets
13. 🎧 Music Streaming Server
14. 💬 Real-Time Chat Server
15. ⚙️ Microservices Architecture for Large Apps

Here you can find more Coding Project Ideas: https://whatsapp.com/channel/0029VazkxJ62UPB7OQhBE502

Web Development Jobs: https://whatsapp.com/channel/0029Vb1raTiDjiOias5ARu2p

JavaScript Resources: https://whatsapp.com/channel/0029VavR9OxLtOjJTXrZNi32

ENJOY LEARNING 👍👍
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If I wanted to get my opportunity to interview at Google or Amazon for SDE roles in the next 6-8 months…

Here’s exactly how I’d approach it (I’ve taught this to 100s of students and followed it myself to land interviews at 3+ FAANGs):

► Step 1: Learn to Code (from scratch, even if you’re from non-CS background)

I helped my sister go from zero coding knowledge (she studied Biology and Electrical Engineering) to landing a job at Microsoft.

We started with:
- A simple programming language (C++, Java, Python — pick one)
- FreeCodeCamp on YouTube for beginner-friendly lectures
- Key rule: Don’t just watch. Code along with the video line by line.

Time required: 30–40 days to get good with loops, conditions, syntax.

► Step 2: Start with DSA before jumping to development

Why?
- 90% of tech interviews in top companies focus on Data Structures & Algorithms
- You’ll need time to master it, so start early.

Start with:
- Arrays → Linked List → Stacks → Queues
- You can follow the DSA videos on my channel.
- Practice while learning is a must.

► Step 3: Follow a smart topic order

Once you’re done with basics, follow this path:

1. Searching & Sorting
2. Recursion & Backtracking
3. Greedy
4. Sliding Window & Two Pointers
5. Trees & Graphs
6. Dynamic Programming
7. Tries, Heaps, and Union Find

Make revision notes as you go — note down how you solved each question, what tricks worked, and how you optimized it.

► Step 4: Start giving contests (don’t wait till you’re “ready”)

Most students wait to “finish DSA” before attempting contests.
That’s a huge mistake.

Contests teach you:
- Time management under pressure
- Handling edge cases
- Thinking fast

Platforms: LeetCode Weekly/ Biweekly, Codeforces, AtCoder, etc.
And after every contest, do upsolving — solve the questions you couldn’t during the contest.

► Step 5: Revise smart

Create a “Revision Sheet” with 100 key problems you’ve solved and want to reattempt.

Every 2-3 weeks, pick problems randomly and solve again without seeing solutions.

This trains your recall + improves your clarity.

Coding Projects:👇
https://whatsapp.com/channel/0029VazkxJ62UPB7OQhBE502

ENJOY LEARNING 👍👍
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Most people learn SQL just enough to pull some data. But if you really understand it, you can analyze massive datasets without touching Excel or Python.

Here are 8 game-changing SQL concepts that will make you a data pro:

👇


1. Stop pulling raw data. Start pulling insights.

The biggest mistake? Running a query that gives you everything and then filtering it later.

Good analysts don’t pull raw data. They shape the data before it even reaches them.

2. “SELECT ” is a rookie move.

Pulling all columns is lazy and slow.

A pro only selects what they need.
✔️ Fewer columns = Faster queries
✔️ Less noise = Clearer insights

The more precise your query, the less time you waste cleaning data.

3. GROUP BY is your best friend.

You don’t need 100,000 rows of transactions. What you need is:
✔️ Sales per region
✔️ Average order size per customer
✔️ Number of signups per month

Grouping turns chaotic data into useful summaries.

4. Joins = Connecting the dots.

Your most important data is split across multiple tables.

Want to know how much each customer spent? You need to join:
✔️ Customer info
✔️ Order history
✔️ Payments

Joins = unlocking hidden insights.

5. Window functions will blow your mind.

They let you:
✔️ Rank customers by total purchases
✔️ Calculate rolling averages
✔️ Compare each row to the overall trend

It’s like pivot tables, but way more powerful.

6. CTEs will save you from spaghetti SQL.

Instead of writing a 50-line nested query, break it into steps.

CTEs (Common Table Expressions) make your SQL:
✔️ Easier to read
✔️ Easier to debug
✔️ Reusable

Good SQL is clean SQL.

7. Indexes = Speed.

If your queries take forever, your database is probably doing unnecessary work.

Indexes help databases find data faster.

If you work with large datasets, this is a game changer.

SQL isn’t just about pulling data. It’s about analyzing, transforming, and optimizing it.

Master these 7 concepts, and you’ll never look at SQL the same way again.

Join us on WhatsApp: https://whatsapp.com/channel/0029VanC5rODzgT6TiTGoa1v
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Best Programming Languages for Hacking:

1. Python
It’s no surprise that Python tops our list. Referred to as the defacto hacking programing language, Python has indeed played a significant role in the writing of hacking scripts, exploits, and malicious programs.

2. C
C is critical language in the Hacking community. Most of the popular operating systems we have today run on a foundation of C language.
C is an excellent resource in reverse engineering of software and applications. These enable hackers to understand the working of a system or an app.

3. Javascript
For quite some time, Javascript(JS) was a client-side scripting language. With the release of Node.js, Javascript now supports backend development. To hackers, this means a broader field of exploitation.

4. PHP
For a long time now, PHP has dominated the backend of most websites and web applications.
If you are into web hacking, then getting your hands on PHP would be of great advantage.

5. C++
Have you ever thought of cracking corporate(paid) software? Here is your answer. The hacker community has significantly implemented C++ programming language to remove trial periods on paid software and even the operating system.

6. SQL
SQL – Standard Query Language. It is a programming language used to organize, add, retrieve, remove, or edit data in a database. A lot of systems store their data in databases such as MySQL, MS SQL, and PostgreSQL.
Using SQL, hackers can perform an attack known as SQL injection, which will enable them to access confidential information.

7. Java
Despite what many may say, a lot of backdoor exploits in systems are written in Java. It has also been used by hackers to perform identity thefts, create botnets, and even perform malicious activities on the client system undetected.
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And then nothing works
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Interview Coding Patterns

We'll cover multiple patterns asked in coding interviews. These patterns help you recognize how to approach different types of coding problems smartly — instead of solving each from scratch.

We’ll divide this into multiple parts — starting from basic and gradually going toward advanced.

Here's what we’ll cover in this section:

1. Stock Buy & Sell (Single Transaction)
2. Stock Buy & Sell (Multiple Transactions)
3. Kadane’s Algorithm (Max Subarray)
4. Sliding Window (Fixed + Variable Size)
5. Two Pointer Technique
6. Prefix Sum
7. HashMap-Based Pattern
8. Binary Search Variants
9. Backtracking Basics
10. Recursion to DP Conversion
11. Sorting-Based Tricks
12. Greedy Patterns
13. Frequency Maps and Counters
14. Stacks and Queues Based Patterns
15. Substring & Subarray Techniques

Access it for free here
👇👇
https://whatsapp.com/channel/0029VaiM08SDuMRaGKd9Wv0L/1629
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7 Powerful AI Project Ideas to Build Your Portfolio

AI Chatbot – Create a custom chatbot using NLP libraries like spaCy, Rasa, or GPT API
Fake News Detector – Classify real vs fake news using Natural Language Processing and machine learning
Image Classifier – Build a CNN to identify objects (e.g., cats vs dogs, handwritten digits)
Resume Screener – Automate shortlisting candidates using keyword extraction and scoring logic
Text Summarizer – Generate short summaries from long documents using Transformer models
AI-Powered Recommendation System – Suggest products, movies, or courses based on user preferences
Voice Assistant Clone – Build a basic version of Alexa or Siri with speech recognition and response generation

These projects are not just for learning—they’ll also impress recruiters!

#ai #projects
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AI & ML Project Ideas
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Top 3 coding platforms every developer should know👇

1. LeetCode: The best platform for improving skills and preparing for technical interviews.
2. CodeChef: With over 2M learners, this platform offers top courses and tech questions.
3. StackOverflow: An online community where you can find solutions to any coding question.

ENJOY LEARNING 👍👍
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Python Libraries for Data Science
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