🔰 TypeScript Roadmap for Beginners 2025
├── 🧠 Why TypeScript? JavaScript with Superpowers
├── ⚙️ Setting up TypeScript (tsc, tsconfig)
├── 🔡 Type Annotations (number, string, boolean, etc.)
├── 📦 Interfaces & Type Aliases
├── 🧱 Classes, Inheritance & Access Modifiers
├── 🔁 Generics
├── ❌ Type Narrowing & Type Guards
├── 🔄 Enums, Tuples & Union Types
├── 🧩 Modules & Namespaces
├── 🔧 Working with TypeScript & React/Vue
├── 🧪 TypeScript Projects:
│ ├── Form Validation App
│ ├── API Data Viewer with TS + Fetch
│ ├── Typed To-do App
Free Resources: https://whatsapp.com/channel/0029Vax4TBY9Bb62pAS3mX32
├── 🧠 Why TypeScript? JavaScript with Superpowers
├── ⚙️ Setting up TypeScript (tsc, tsconfig)
├── 🔡 Type Annotations (number, string, boolean, etc.)
├── 📦 Interfaces & Type Aliases
├── 🧱 Classes, Inheritance & Access Modifiers
├── 🔁 Generics
├── ❌ Type Narrowing & Type Guards
├── 🔄 Enums, Tuples & Union Types
├── 🧩 Modules & Namespaces
├── 🔧 Working with TypeScript & React/Vue
├── 🧪 TypeScript Projects:
│ ├── Form Validation App
│ ├── API Data Viewer with TS + Fetch
│ ├── Typed To-do App
Free Resources: https://whatsapp.com/channel/0029Vax4TBY9Bb62pAS3mX32
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Top 5 Websites Every Developer Should Bookmark 🔖💡
1. DevDocs – All-in-one fast documentation ⚡
2. CanIUse – Check browser support like a pro 🌍
3. Roadmap .sh – Visual guides to grow your dev career 🗺️
4. JSONLint – Instantly validate & format JSON 🧹
5. DataSimplifier – Free Data Analytics Resources 🎯
React ❤️ for more like this
#tech
1. DevDocs – All-in-one fast documentation ⚡
2. CanIUse – Check browser support like a pro 🌍
3. Roadmap .sh – Visual guides to grow your dev career 🗺️
4. JSONLint – Instantly validate & format JSON 🧹
5. DataSimplifier – Free Data Analytics Resources 🎯
React ❤️ for more like this
#tech
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What's Flutter ? 🐦👇
1. Flutter is an open-source UI toolkit from Google for building natively compiled applications.
2. It enables cross-platform development for mobile, web, and desktop from a single codebase.
3. Uses Dart programming language, focusing on a fast and fluid user experience.
4. Features a rich set of pre-designed widgets and tools for rapid and easy UI creation.
5. Offers high performance close to native app speed, with a hot reload feature for quick development iterations.
#flutter
1. Flutter is an open-source UI toolkit from Google for building natively compiled applications.
2. It enables cross-platform development for mobile, web, and desktop from a single codebase.
3. Uses Dart programming language, focusing on a fast and fluid user experience.
4. Features a rich set of pre-designed widgets and tools for rapid and easy UI creation.
5. Offers high performance close to native app speed, with a hot reload feature for quick development iterations.
#flutter
Important Sorting Algorithms-
Bubble Sort: Bubble Sort is the most basic sorting algorithm, and it works by repeatedly swapping adjacent elements if they are out of order.
Merge Sort: Merge sort is a sorting technique that uses the divide and conquer strategy.
Quicksort: Quicksort is a popular sorting algorithm that performs n log n comparisons on average when sorting an array of n elements. It is a more efficient and faster sorting algorithm.
Heap Sort: Heap sort works by visualizing the array elements as a special type of complete binary tree known as a heap.
Important Searching Algorithms-
Binary Search: Binary search employs the divide and conquer strategy, in which a sorted list is divided into two halves and the item is compared to the list’s middle element. If a match is found, the middle element’s location is returned.
Breadth-First Search(BFS): Breadth-first search is a graph traversal algorithm that begins at the root node and explores all neighboring nodes.
Depth-First Search(DFS): The depth-first search (DFS) algorithm begins with the first node of the graph and proceeds to go deeper and deeper until we find the goal node or node with no children.
#coding
Bubble Sort: Bubble Sort is the most basic sorting algorithm, and it works by repeatedly swapping adjacent elements if they are out of order.
Merge Sort: Merge sort is a sorting technique that uses the divide and conquer strategy.
Quicksort: Quicksort is a popular sorting algorithm that performs n log n comparisons on average when sorting an array of n elements. It is a more efficient and faster sorting algorithm.
Heap Sort: Heap sort works by visualizing the array elements as a special type of complete binary tree known as a heap.
Important Searching Algorithms-
Binary Search: Binary search employs the divide and conquer strategy, in which a sorted list is divided into two halves and the item is compared to the list’s middle element. If a match is found, the middle element’s location is returned.
Breadth-First Search(BFS): Breadth-first search is a graph traversal algorithm that begins at the root node and explores all neighboring nodes.
Depth-First Search(DFS): The depth-first search (DFS) algorithm begins with the first node of the graph and proceeds to go deeper and deeper until we find the goal node or node with no children.
#coding
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9 advanced coding project ideas to level up your skills:
🛒 E-commerce Website — manage products, cart, payments
🧠 AI Chatbot — integrate NLP and machine learning
🗃️ File Organizer — automate file sorting using scripts
📊 Data Dashboard — build interactive charts with real-time data
📚 Blog Platform — full-stack project with user authentication
📍 Location Tracker App — use maps and geolocation APIs
🏦 Budgeting App — analyze income/expenses and generate reports
📝 Markdown Editor — real-time preview and formatting
🔍 Job Tracker — store, filter, and search job applications
Coding Projects: https://whatsapp.com/channel/0029VazkxJ62UPB7OQhBE502
ENJOY LEARNING 👍👍
🛒 E-commerce Website — manage products, cart, payments
🧠 AI Chatbot — integrate NLP and machine learning
🗃️ File Organizer — automate file sorting using scripts
📊 Data Dashboard — build interactive charts with real-time data
📚 Blog Platform — full-stack project with user authentication
📍 Location Tracker App — use maps and geolocation APIs
🏦 Budgeting App — analyze income/expenses and generate reports
📝 Markdown Editor — real-time preview and formatting
🔍 Job Tracker — store, filter, and search job applications
Coding Projects: https://whatsapp.com/channel/0029VazkxJ62UPB7OQhBE502
ENJOY LEARNING 👍👍
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
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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