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
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
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Coding Interview Resources
🔰 Deep Python Roadmap for Beginners 🐍 Setup & Installation 🖥️⚙️ • Install Python, choose an IDE (VS Code, PyCharm) • Set up virtual environments for project isolation 🌎 Basic Syntax & Data Types 📝🔢 • Learn variables, numbers, strings, booleans • Understand…
Part 2 of the Deep Python Roadmap for Beginners 🔰
File Handling & Exceptions 📂🚨
• Read/write files (text, CSV, JSON)
• Use try/except/finally for error handling
Modules & Environments 📦🌐
• Organize code with modules and packages
• Manage dependencies with pip and virtual environments
Advanced Concepts 🔥🔍
• Work with decorators, generators, and context managers
Testing & Debugging 🐞✅
• Write tests using unittest or pytest
• Utilize debugging tools and linters
APIs & Web Development 🌐🔗
• Interact with RESTful APIs
• Start with frameworks like Flask or Django
Data Analysis & Visualization 📊🎨
• Use NumPy and Pandas for data handling
• Visualize with Matplotlib or Seaborn
Asynchronous Programming ⏰🔀
• Learn threading, multiprocessing, and async/await
Version Control & Deployment 🔁🚀
• Master Git basics and collaborative workflows
• Explore deployment strategies and CI/CD practices
Project Building & Community 🏗️🌍
• Build projects, contribute to open-source, and join communities
React ❤️ for more roadmaps
File Handling & Exceptions 📂🚨
• Read/write files (text, CSV, JSON)
• Use try/except/finally for error handling
Modules & Environments 📦🌐
• Organize code with modules and packages
• Manage dependencies with pip and virtual environments
Advanced Concepts 🔥🔍
• Work with decorators, generators, and context managers
Testing & Debugging 🐞✅
• Write tests using unittest or pytest
• Utilize debugging tools and linters
APIs & Web Development 🌐🔗
• Interact with RESTful APIs
• Start with frameworks like Flask or Django
Data Analysis & Visualization 📊🎨
• Use NumPy and Pandas for data handling
• Visualize with Matplotlib or Seaborn
Asynchronous Programming ⏰🔀
• Learn threading, multiprocessing, and async/await
Version Control & Deployment 🔁🚀
• Master Git basics and collaborative workflows
• Explore deployment strategies and CI/CD practices
Project Building & Community 🏗️🌍
• Build projects, contribute to open-source, and join communities
React ❤️ for more roadmaps
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DSA (Data Structures and Algorithms) Essential Topics for Interviews
1️⃣ Arrays and Strings
Basic operations (insert, delete, update)
Two-pointer technique
Sliding window
Prefix sum
Kadane’s algorithm
Subarray problems
2️⃣ Linked List
Singly & Doubly Linked List
Reverse a linked list
Detect loop (Floyd’s Cycle)
Merge two sorted lists
Intersection of linked lists
3️⃣ Stack & Queue
Stack using array or linked list
Queue and Circular Queue
Monotonic Stack/Queue
LRU Cache (LinkedHashMap/Deque)
Infix to Postfix conversion
4️⃣ Hashing
HashMap, HashSet
Frequency counting
Two Sum problem
Group Anagrams
Longest Consecutive Sequence
5️⃣ Recursion & Backtracking
Base cases and recursive calls
Subsets, permutations
N-Queens problem
Sudoku solver
Word search
6️⃣ Trees & Binary Trees
Traversals (Inorder, Preorder, Postorder)
Height and Diameter
Balanced Binary Tree
Lowest Common Ancestor (LCA)
Serialize & Deserialize Tree
7️⃣ Binary Search Trees (BST)
Search, Insert, Delete
Validate BST
Kth smallest/largest element
Convert BST to DLL
8️⃣ Heaps & Priority Queues
Min Heap / Max Heap
Heapify
Top K elements
Merge K sorted lists
Median in a stream
9️⃣ Graphs
Representations (adjacency list/matrix)
DFS, BFS
Cycle detection (directed & undirected)
Topological Sort
Dijkstra’s & Bellman-Ford algorithm
Union-Find (Disjoint Set)
10️⃣ Dynamic Programming (DP)
0/1 Knapsack
Longest Common Subsequence
Matrix Chain Multiplication
DP on subsequences
Memoization vs Tabulation
11️⃣ Greedy Algorithms
Activity selection
Huffman coding
Fractional knapsack
Job scheduling
12️⃣ Tries
Insert and search a word
Word search
Auto-complete feature
13️⃣ Bit Manipulation
XOR, AND, OR basics
Check if power of 2
Single Number problem
Count set bits
Coding Interview Resources: https://whatsapp.com/channel/0029VammZijATRSlLxywEC3X
ENJOY LEARNING 👍👍
1️⃣ Arrays and Strings
Basic operations (insert, delete, update)
Two-pointer technique
Sliding window
Prefix sum
Kadane’s algorithm
Subarray problems
2️⃣ Linked List
Singly & Doubly Linked List
Reverse a linked list
Detect loop (Floyd’s Cycle)
Merge two sorted lists
Intersection of linked lists
3️⃣ Stack & Queue
Stack using array or linked list
Queue and Circular Queue
Monotonic Stack/Queue
LRU Cache (LinkedHashMap/Deque)
Infix to Postfix conversion
4️⃣ Hashing
HashMap, HashSet
Frequency counting
Two Sum problem
Group Anagrams
Longest Consecutive Sequence
5️⃣ Recursion & Backtracking
Base cases and recursive calls
Subsets, permutations
N-Queens problem
Sudoku solver
Word search
6️⃣ Trees & Binary Trees
Traversals (Inorder, Preorder, Postorder)
Height and Diameter
Balanced Binary Tree
Lowest Common Ancestor (LCA)
Serialize & Deserialize Tree
7️⃣ Binary Search Trees (BST)
Search, Insert, Delete
Validate BST
Kth smallest/largest element
Convert BST to DLL
8️⃣ Heaps & Priority Queues
Min Heap / Max Heap
Heapify
Top K elements
Merge K sorted lists
Median in a stream
9️⃣ Graphs
Representations (adjacency list/matrix)
DFS, BFS
Cycle detection (directed & undirected)
Topological Sort
Dijkstra’s & Bellman-Ford algorithm
Union-Find (Disjoint Set)
10️⃣ Dynamic Programming (DP)
0/1 Knapsack
Longest Common Subsequence
Matrix Chain Multiplication
DP on subsequences
Memoization vs Tabulation
11️⃣ Greedy Algorithms
Activity selection
Huffman coding
Fractional knapsack
Job scheduling
12️⃣ Tries
Insert and search a word
Word search
Auto-complete feature
13️⃣ Bit Manipulation
XOR, AND, OR basics
Check if power of 2
Single Number problem
Count set bits
Coding Interview Resources: https://whatsapp.com/channel/0029VammZijATRSlLxywEC3X
ENJOY LEARNING 👍👍
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9 tips to master Git as a developer:
Commit often with clear messages
Use .gitignore to keep your repo clean
Never commit secrets or credentials
Branch for every new feature
Pull before you push
Use git status frequently
Write meaningful commit messages
Use git log to track history
Learn to resolve merge conflicts calmly
Free Git & GitHub Resources: https://whatsapp.com/channel/0029Vawixh9IXnlk7VfY6w43
ENJOY LEARNING 👍👍
Commit often with clear messages
Use .gitignore to keep your repo clean
Never commit secrets or credentials
Branch for every new feature
Pull before you push
Use git status frequently
Write meaningful commit messages
Use git log to track history
Learn to resolve merge conflicts calmly
Free Git & GitHub Resources: https://whatsapp.com/channel/0029Vawixh9IXnlk7VfY6w43
ENJOY LEARNING 👍👍
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9 tips to learn Data Structures & Algorithms (DSA) effectively:
Master one language first (like Python, Java, or C++)
Start with basics: arrays, strings, linked lists
Practice consistently on coding platforms
Visualize problems to understand them better
Learn patterns — sliding window, two pointers, recursion
Understand time and space complexity
Solve problems before reading solutions
Revisit and revise tough problems
Build a strong foundation before diving into advanced topics
Coding Interview Resources:👇 https://whatsapp.com/channel/0029VammZijATRSlLxywEC3X
ENJOY LEARNING 👍👍
Master one language first (like Python, Java, or C++)
Start with basics: arrays, strings, linked lists
Practice consistently on coding platforms
Visualize problems to understand them better
Learn patterns — sliding window, two pointers, recursion
Understand time and space complexity
Solve problems before reading solutions
Revisit and revise tough problems
Build a strong foundation before diving into advanced topics
Coding Interview Resources:👇 https://whatsapp.com/channel/0029VammZijATRSlLxywEC3X
ENJOY LEARNING 👍👍
9 tips to get better at debugging code:
Read error messages carefully — they often tell you everything
Use print/log statements to trace code execution
Check one small part at a time
Reproduce the bug consistently
Use a debugger to step through code line by line
Compare working vs broken code
Check for typos, null values, and off-by-one errors
Rubber duck debugging — explain your code out loud
Take breaks — fresh eyes spot bugs faster
Coding Interview Resources:👇 https://whatsapp.com/channel/0029VammZijATRSlLxywEC3X
ENJOY LEARNING 👍👍
Read error messages carefully — they often tell you everything
Use print/log statements to trace code execution
Check one small part at a time
Reproduce the bug consistently
Use a debugger to step through code line by line
Compare working vs broken code
Check for typos, null values, and off-by-one errors
Rubber duck debugging — explain your code out loud
Take breaks — fresh eyes spot bugs faster
Coding Interview Resources:👇 https://whatsapp.com/channel/0029VammZijATRSlLxywEC3X
ENJOY LEARNING 👍👍
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Roadmap to Become Game Developer: 🧩
📂 Learn C++
∟📂 Game Engines
∟📂 Graphics Basics
∟📂 Physics Engines
∟📂 Build Projects
∟ ✅ Apply For Job
📂 Learn C++
∟📂 Game Engines
∟📂 Graphics Basics
∟📂 Physics Engines
∟📂 Build Projects
∟ ✅ Apply For Job
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9 tips to get better at system design:
Understand scalability: vertical vs horizontal
Learn how load balancers distribute traffic
Know how caching improves performance
Study database types: SQL vs NoSQL
Design with failure in mind (redundancy & backups)
Understand APIs and how services communicate
Focus on real-world use cases (URL shortener, chat app)
Think about latency, throughput, and consistency
Always start with a high-level diagram before diving deep
Understand scalability: vertical vs horizontal
Learn how load balancers distribute traffic
Know how caching improves performance
Study database types: SQL vs NoSQL
Design with failure in mind (redundancy & backups)
Understand APIs and how services communicate
Focus on real-world use cases (URL shortener, chat app)
Think about latency, throughput, and consistency
Always start with a high-level diagram before diving deep
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9 tips to prepare for coding interviews:
Master DSA fundamentals (arrays, strings, trees, graphs)
Practice daily on LeetCode, Codeforces, or HackerRank
Solve problems under time constraints
Review commonly asked interview patterns
Mock interviews help reduce anxiety
Understand the “why” behind each solution
Prepare clean, structured explanations
Brush up on system design and OOP basics
Stay consistent — prep a little every day
Coding Interview Resources:👇 https://whatsapp.com/channel/0029VammZijATRSlLxywEC3X
ENJOY LEARNING 👍👍
Master DSA fundamentals (arrays, strings, trees, graphs)
Practice daily on LeetCode, Codeforces, or HackerRank
Solve problems under time constraints
Review commonly asked interview patterns
Mock interviews help reduce anxiety
Understand the “why” behind each solution
Prepare clean, structured explanations
Brush up on system design and OOP basics
Stay consistent — prep a little every day
Coding Interview Resources:👇 https://whatsapp.com/channel/0029VammZijATRSlLxywEC3X
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 👍👍
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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Working under a bad tech lead can slow you down in your career, even if you are the most talented
Here’s what you should do if you're stuck with a bad tech lead:
Ineffective Tech Lead:
- downplays the contributions of their team
- creates deadlines without talking to the team
- views team members as a tool to build and code
- doesn’t trust their team members to do their jobs
- gives no space or opportunities for personal / skill development
Effective Tech lead:
- sets a clear vision and direction
- communicates with the team & sets realistic goals
- empowers you to make decisions and take ownership
- inspires and helps you achieve your career milestones
- always looks to add value by sharing their knowledge and coaching
I've always grown the most when I've worked with the latter.
But I also have experience working with the former.
If you are in a team with a bad tech lead, it’s tough, I understand.
Here’s what you can do:
➥don’t waste your energy worrying about them
➥focus on your growth and what you can do in the environment
➥focus and try to fill the gap your lead has created by their behaviors
➥talk to your manager and share how you're feeling rather than complain about the lead
➥try and understand why they are behaving the way they behave, what’s important for them
And the most important:
Don’t get sucked into this behavior and become like one!
You will face both types of people in your career:
Some will teach you how to do things, and others will teach you how not to do things!
Coding Projects:👇
https://whatsapp.com/channel/0029VazkxJ62UPB7OQhBE502
ENJOY LEARNING 👍👍
Here’s what you should do if you're stuck with a bad tech lead:
Ineffective Tech Lead:
- downplays the contributions of their team
- creates deadlines without talking to the team
- views team members as a tool to build and code
- doesn’t trust their team members to do their jobs
- gives no space or opportunities for personal / skill development
Effective Tech lead:
- sets a clear vision and direction
- communicates with the team & sets realistic goals
- empowers you to make decisions and take ownership
- inspires and helps you achieve your career milestones
- always looks to add value by sharing their knowledge and coaching
I've always grown the most when I've worked with the latter.
But I also have experience working with the former.
If you are in a team with a bad tech lead, it’s tough, I understand.
Here’s what you can do:
➥don’t waste your energy worrying about them
➥focus on your growth and what you can do in the environment
➥focus and try to fill the gap your lead has created by their behaviors
➥talk to your manager and share how you're feeling rather than complain about the lead
➥try and understand why they are behaving the way they behave, what’s important for them
And the most important:
Don’t get sucked into this behavior and become like one!
You will face both types of people in your career:
Some will teach you how to do things, and others will teach you how not to do things!
Coding Projects:👇
https://whatsapp.com/channel/0029VazkxJ62UPB7OQhBE502
ENJOY LEARNING 👍👍
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