30-days learning plan to master web development, covering HTML, CSS, JavaScript, and foundational concepts 👇👇
### Week 1: HTML and CSS Basics
Day 1-2: HTML Fundamentals
- Learn the structure of HTML documents.
- Tags:
- Practice by creating a simple webpage.
Day 3-4: CSS Basics
- Introduction to CSS: Selectors, properties, values.
- Inline, internal, and external CSS.
- Basic styling: colors, fonts, text alignment, borders, margins, padding.
- Create a basic styled webpage.
Day 5-6: CSS Layouts
- Box model.
- Display properties:
- Positioning:
- Flexbox basics.
Day 7: Project
- Create a simple multi-page website using HTML and CSS.
### Week 2: Advanced CSS and Responsive Design
Day 8-9: Advanced CSS
- CSS Grid.
- Advanced selectors: attribute selectors, pseudo-classes, pseudo-elements.
- CSS variables.
Day 10-11: Responsive Design
- Media queries.
- Responsive units:
- Mobile-first design principles.
Day 12-13: CSS Frameworks
- Introduction to frameworks (Bootstrap, Tailwind CSS).
- Basic usage of Bootstrap.
Day 14: Project
- Build a responsive website using Bootstrap or Tailwind CSS.
### Week 3: JavaScript Basics
Day 15-16: JavaScript Fundamentals
- Syntax, data types, variables, operators.
- Control structures: if-else, switch, loops (for, while).
- Functions and scope.
Day 17-18: DOM Manipulation
- Selecting elements (
- Modifying elements (text, styles, attributes).
- Event listeners.
Day 19-20: Working with Data
- Arrays and objects.
- Array methods:
- Basic JSON handling.
Day 21: Project
- Create a dynamic webpage with JavaScript (e.g., a simple to-do list).
### Week 4: Advanced JavaScript and Final Project
Day 22-23: Advanced JavaScript
- ES6+ features: let/const, arrow functions, template literals, destructuring.
- Promises and async/await.
- Fetch API for AJAX requests.
Day 24-25: JavaScript Frameworks/Libraries
- Introduction to React (components, state, props).
- Basic React project setup.
Day 26-27: Version Control with Git
- Basic Git commands:
- Branching and merging.
Day 28-29: Deployment
- Introduction to web hosting.
- Deploy a website using GitHub Pages, Netlify, or Vercel.
Day 30: Final Project
- Combine everything learned to build a comprehensive web application.
- Include HTML, CSS, JavaScript, and possibly a JavaScript framework like React.
- Deploy the final project.
### Additional Resources
- HTML/CSS: MDN Web Docs, W3Schools.
- JavaScript: MDN Web Docs, Eloquent JavaScript.
- Frameworks/Libraries: Official documentation for Bootstrap, Tailwind CSS, React.
- Version Control: Pro Git book.
Practice consistently, build projects, and refer to official documentation and online resources for deeper understanding.
### Week 1: HTML and CSS Basics
Day 1-2: HTML Fundamentals
- Learn the structure of HTML documents.
- Tags:
<!DOCTYPE html>, <html>, <head>, <body>, <title>, <h1> to <h6>, <p>, <a>, <img>, <div>, <span>, <ul>, <ol>, <li>, <table>, <form>.- Practice by creating a simple webpage.
Day 3-4: CSS Basics
- Introduction to CSS: Selectors, properties, values.
- Inline, internal, and external CSS.
- Basic styling: colors, fonts, text alignment, borders, margins, padding.
- Create a basic styled webpage.
Day 5-6: CSS Layouts
- Box model.
- Display properties:
block, inline-block, inline, none.- Positioning:
static, relative, absolute, fixed, sticky.- Flexbox basics.
Day 7: Project
- Create a simple multi-page website using HTML and CSS.
### Week 2: Advanced CSS and Responsive Design
Day 8-9: Advanced CSS
- CSS Grid.
- Advanced selectors: attribute selectors, pseudo-classes, pseudo-elements.
- CSS variables.
Day 10-11: Responsive Design
- Media queries.
- Responsive units:
em, rem, vh, vw.- Mobile-first design principles.
Day 12-13: CSS Frameworks
- Introduction to frameworks (Bootstrap, Tailwind CSS).
- Basic usage of Bootstrap.
Day 14: Project
- Build a responsive website using Bootstrap or Tailwind CSS.
### Week 3: JavaScript Basics
Day 15-16: JavaScript Fundamentals
- Syntax, data types, variables, operators.
- Control structures: if-else, switch, loops (for, while).
- Functions and scope.
Day 17-18: DOM Manipulation
- Selecting elements (
getElementById, querySelector).- Modifying elements (text, styles, attributes).
- Event listeners.
Day 19-20: Working with Data
- Arrays and objects.
- Array methods:
push, pop, shift, unshift, map, filter, reduce.- Basic JSON handling.
Day 21: Project
- Create a dynamic webpage with JavaScript (e.g., a simple to-do list).
### Week 4: Advanced JavaScript and Final Project
Day 22-23: Advanced JavaScript
- ES6+ features: let/const, arrow functions, template literals, destructuring.
- Promises and async/await.
- Fetch API for AJAX requests.
Day 24-25: JavaScript Frameworks/Libraries
- Introduction to React (components, state, props).
- Basic React project setup.
Day 26-27: Version Control with Git
- Basic Git commands:
init, clone, add, commit, push, pull.- Branching and merging.
Day 28-29: Deployment
- Introduction to web hosting.
- Deploy a website using GitHub Pages, Netlify, or Vercel.
Day 30: Final Project
- Combine everything learned to build a comprehensive web application.
- Include HTML, CSS, JavaScript, and possibly a JavaScript framework like React.
- Deploy the final project.
### Additional Resources
- HTML/CSS: MDN Web Docs, W3Schools.
- JavaScript: MDN Web Docs, Eloquent JavaScript.
- Frameworks/Libraries: Official documentation for Bootstrap, Tailwind CSS, React.
- Version Control: Pro Git book.
Practice consistently, build projects, and refer to official documentation and online resources for deeper understanding.
👍3
*Learn Django Easily* 🤩
Here's all you need to get started 🙌
1. Introduction to Django
- What is Django?
- Setting up the Development Environment
2. Django Basics
- Django Project Structure
- Apps in Django
- Settings and Configuration
3. Models
- Creating Models
- Migrations
- Model Relationships
4. Views
- Function-Based Views
- Class-Based Views
- Generic Views
5. Templates
- Template Syntax
- Template Inheritance
- Template Tags and Filters
6. Forms
- Creating Forms
- Form Validation
- Model Forms
7. URLs and Routing
- URLconf
- Named URL Patterns
- URL Namespaces
8. Django ORM
- Querying the Database
- QuerySets
- Aggregations
9. Authentication and Authorization
- User Authentication
- Permission and Groups
- Django's Built-in User Model
10. Static Files and Media
- Serving Static Files
- File Uploads
- Managing Media Files
11. Middleware
- Using Middleware
- Creating Custom Middleware
12. REST Framework
- Django REST Framework (DRF)
- Serializers
- ViewSets and Routers
13. Testing
- Writing Tests
- Testing Models, Views, and Forms
- Test Coverage
14. Internationalization and Localization
- Translating Strings
- Time Zones
15. Security
- Securing Django Applications
- CSRF Protection
- XSS Protection
16. Deployment
- Deploying with WSGI and ASGI
- Using Gunicorn
- Deploying to Heroku, AWS, etc.
17. Optimization
- Database Optimization
- Caching Strategies
- Profiling and Performance Monitoring
18. Best Practices
- Code Structure
- DRY Principle
- Reusable Apps
ENJOY LEARNING 👍👍
Here's all you need to get started 🙌
1. Introduction to Django
- What is Django?
- Setting up the Development Environment
2. Django Basics
- Django Project Structure
- Apps in Django
- Settings and Configuration
3. Models
- Creating Models
- Migrations
- Model Relationships
4. Views
- Function-Based Views
- Class-Based Views
- Generic Views
5. Templates
- Template Syntax
- Template Inheritance
- Template Tags and Filters
6. Forms
- Creating Forms
- Form Validation
- Model Forms
7. URLs and Routing
- URLconf
- Named URL Patterns
- URL Namespaces
8. Django ORM
- Querying the Database
- QuerySets
- Aggregations
9. Authentication and Authorization
- User Authentication
- Permission and Groups
- Django's Built-in User Model
10. Static Files and Media
- Serving Static Files
- File Uploads
- Managing Media Files
11. Middleware
- Using Middleware
- Creating Custom Middleware
12. REST Framework
- Django REST Framework (DRF)
- Serializers
- ViewSets and Routers
13. Testing
- Writing Tests
- Testing Models, Views, and Forms
- Test Coverage
14. Internationalization and Localization
- Translating Strings
- Time Zones
15. Security
- Securing Django Applications
- CSRF Protection
- XSS Protection
16. Deployment
- Deploying with WSGI and ASGI
- Using Gunicorn
- Deploying to Heroku, AWS, etc.
17. Optimization
- Database Optimization
- Caching Strategies
- Profiling and Performance Monitoring
18. Best Practices
- Code Structure
- DRY Principle
- Reusable Apps
ENJOY LEARNING 👍👍
❤1👍1
*Complete DSA Roadmap*
|-- Basic_Data_Structures
| |-- Arrays
| |-- Strings
| |-- Linked_Lists
| |-- Stacks
| └─ Queues
|
|-- Advanced_Data_Structures
| |-- Trees
| | |-- Binary_Trees
| | |-- Binary_Search_Trees
| | |-- AVL_Trees
| | └─ B-Trees
| |
| |-- Graphs
| | |-- Graph_Representation
| | | |- Adjacency_Matrix
| | | └ Adjacency_List
| | |
| | |-- Depth-First_Search
| | |-- Breadth-First_Search
| | |-- Shortest_Path_Algorithms
| | | |- Dijkstra's_Algorithm
| | | └ Bellman-Ford_Algorithm
| | |
| | └─ Minimum_Spanning_Tree
| | |- Prim's_Algorithm
| | └ Kruskal's_Algorithm
| |
| |-- Heaps
| | |-- Min_Heap
| | |-- Max_Heap
| | └─ Heap_Sort
| |
| |-- Hash_Tables
| |-- Disjoint_Set_Union
| |-- Trie
| |-- Segment_Tree
| └─ Fenwick_Tree
|
|-- Algorithmic_Paradigms
| |-- Brute_Force
| |-- Divide_and_Conquer
| |-- Greedy_Algorithms
| |-- Dynamic_Programming
| |-- Backtracking
| |-- Sliding_Window_Technique
| |-- Two_Pointer_Technique
| └─ Divide_and_Conquer_Optimization
| |-- Merge_Sort_Tree
| └─ Persistent_Segment_Tree
|
|-- Searching_Algorithms
| |-- Linear_Search
| |-- Binary_Search
| |-- Depth-First_Search
| └─ Breadth-First_Search
|
|-- Sorting_Algorithms
| |-- Bubble_Sort
| |-- Selection_Sort
| |-- Insertion_Sort
| |-- Merge_Sort
| |-- Quick_Sort
| └─ Heap_Sort
|
|-- Graph_Algorithms
| |-- Depth-First_Search
| |-- Breadth-First_Search
| |-- Topological_Sort
| |-- Strongly_Connected_Components
| └─ Articulation_Points_and_Bridges
|
|-- Dynamic_Programming
| |-- Introduction_to_DP
| |-- Fibonacci_Series_using_DP
| |-- Longest_Common_Subsequence
| |-- Longest_Increasing_Subsequence
| |-- Knapsack_Problem
| |-- Matrix_Chain_Multiplication
| └─ Dynamic_Programming_on_Trees
|
|-- Mathematical_and_Bit_Manipulation_Algorithms
| |-- Prime_Numbers_and_Sieve_of_Eratosthenes
| |-- Greatest_Common_Divisor
| |-- Least_Common_Multiple
| |-- Modular_Arithmetic
| └─ Bit_Manipulation_Tricks
|
|-- Advanced_Topics
| |-- Trie-based_Algorithms
| | |-- Auto-completion
| | └─ Spell_Checker
| |
| |-- Suffix_Trees_and_Arrays
| |-- Computational_Geometry
| |-- Number_Theory
| | |-- Euler's_Totient_Function
| | └─ Mobius_Function
| |
| └─ String_Algorithms
| |-- KMP_Algorithm
| └─ Rabin-Karp_Algorithm
|
|-- OnlinePlatforms
| |-- LeetCode
| |-- HackerRank
*React ❤️ for more*
|-- Basic_Data_Structures
| |-- Arrays
| |-- Strings
| |-- Linked_Lists
| |-- Stacks
| └─ Queues
|
|-- Advanced_Data_Structures
| |-- Trees
| | |-- Binary_Trees
| | |-- Binary_Search_Trees
| | |-- AVL_Trees
| | └─ B-Trees
| |
| |-- Graphs
| | |-- Graph_Representation
| | | |- Adjacency_Matrix
| | | └ Adjacency_List
| | |
| | |-- Depth-First_Search
| | |-- Breadth-First_Search
| | |-- Shortest_Path_Algorithms
| | | |- Dijkstra's_Algorithm
| | | └ Bellman-Ford_Algorithm
| | |
| | └─ Minimum_Spanning_Tree
| | |- Prim's_Algorithm
| | └ Kruskal's_Algorithm
| |
| |-- Heaps
| | |-- Min_Heap
| | |-- Max_Heap
| | └─ Heap_Sort
| |
| |-- Hash_Tables
| |-- Disjoint_Set_Union
| |-- Trie
| |-- Segment_Tree
| └─ Fenwick_Tree
|
|-- Algorithmic_Paradigms
| |-- Brute_Force
| |-- Divide_and_Conquer
| |-- Greedy_Algorithms
| |-- Dynamic_Programming
| |-- Backtracking
| |-- Sliding_Window_Technique
| |-- Two_Pointer_Technique
| └─ Divide_and_Conquer_Optimization
| |-- Merge_Sort_Tree
| └─ Persistent_Segment_Tree
|
|-- Searching_Algorithms
| |-- Linear_Search
| |-- Binary_Search
| |-- Depth-First_Search
| └─ Breadth-First_Search
|
|-- Sorting_Algorithms
| |-- Bubble_Sort
| |-- Selection_Sort
| |-- Insertion_Sort
| |-- Merge_Sort
| |-- Quick_Sort
| └─ Heap_Sort
|
|-- Graph_Algorithms
| |-- Depth-First_Search
| |-- Breadth-First_Search
| |-- Topological_Sort
| |-- Strongly_Connected_Components
| └─ Articulation_Points_and_Bridges
|
|-- Dynamic_Programming
| |-- Introduction_to_DP
| |-- Fibonacci_Series_using_DP
| |-- Longest_Common_Subsequence
| |-- Longest_Increasing_Subsequence
| |-- Knapsack_Problem
| |-- Matrix_Chain_Multiplication
| └─ Dynamic_Programming_on_Trees
|
|-- Mathematical_and_Bit_Manipulation_Algorithms
| |-- Prime_Numbers_and_Sieve_of_Eratosthenes
| |-- Greatest_Common_Divisor
| |-- Least_Common_Multiple
| |-- Modular_Arithmetic
| └─ Bit_Manipulation_Tricks
|
|-- Advanced_Topics
| |-- Trie-based_Algorithms
| | |-- Auto-completion
| | └─ Spell_Checker
| |
| |-- Suffix_Trees_and_Arrays
| |-- Computational_Geometry
| |-- Number_Theory
| | |-- Euler's_Totient_Function
| | └─ Mobius_Function
| |
| └─ String_Algorithms
| |-- KMP_Algorithm
| └─ Rabin-Karp_Algorithm
|
|-- OnlinePlatforms
| |-- LeetCode
| |-- HackerRank
*React ❤️ for more*
❤6
9 things every beginner programmer should stop doing:
❌ Copy-pasting code without understanding it
⏩ Skipping the fundamentals to learn advanced stuff
🔁 Rewriting the same code instead of reusing functions
📦 Ignoring file/folder structure in projects
⚠️ Not handling errors or exceptions
🧠 Memorizing syntax instead of learning logic
⏳ Waiting for the “perfect idea” to start coding
📚 Jumping between tutorials without building anything
💤 Giving up too early when things get hard
#coding #tips
❌ Copy-pasting code without understanding it
⏩ Skipping the fundamentals to learn advanced stuff
🔁 Rewriting the same code instead of reusing functions
📦 Ignoring file/folder structure in projects
⚠️ Not handling errors or exceptions
🧠 Memorizing syntax instead of learning logic
⏳ Waiting for the “perfect idea” to start coding
📚 Jumping between tutorials without building anything
💤 Giving up too early when things get hard
#coding #tips
❤2
*Google Interview Experience*
*Interview Structure and Format:*
- Screening Round: 1 round focused on Data Structures and Algorithms (DSA).
- Onsite Rounds: 3 rounds, all centered around DSA questions, ranging from medium to hard, covering both fundamental and advanced topics.
- Googlyness Round: This round assessed my ability to handle various situations at work, evaluating my cultural fit with the company. It involved behavioral questions and scenarios to gauge how I would approach challenges and align with Google's values.
*Preparation for DSA Rounds:*
1. LeetCode Practice: I primarily used LeetCode to solve problems, starting with the Blind 75 to build a strong foundation in the basics.
2. Advanced Data Structures: To be thorough, I also prepared advanced data structures like Segment Trees, Union-Find, Trie Trees, etc.
3. Famous Algorithms: I made sure to cover algorithms like DFS, BFS, Dynamic Programming, KMP, and others.
4. Practice: I focused on solving at least 4-5 hard problems for each data structure and algorithm.
5. Tip: It’s helpful to practice solving previously asked questions in Google interviews, as this can give you a better sense of the types of problems to expect.
*Evaluation Criteria:*
*1. Communication:*
- Openly ask questions wherever you find ambiguities. Don’t assume anything—clarify with the interviewer.
- Discuss your approaches and start implementing only after agreeing on a solution with the interviewer.
*2. Time Management:*
- Each interview is generally 45 minutes long, so it's important to manage your time effectively. Ensure you have enough time to write and debug your code and address any follow-up questions.
*3. Code Quality:*
- Write code that is easy to read and understand. Use meaningful names for functions and variables, and ensure proper indentation.
- Aim to write bug-free code. If there are bugs and the interviewer points them out, you should be able to identify and fix them without additional hints.
- Always try to dry run your code with one or more examples to ensure it works as expected.
*React ❤️ for more*
*Interview Structure and Format:*
- Screening Round: 1 round focused on Data Structures and Algorithms (DSA).
- Onsite Rounds: 3 rounds, all centered around DSA questions, ranging from medium to hard, covering both fundamental and advanced topics.
- Googlyness Round: This round assessed my ability to handle various situations at work, evaluating my cultural fit with the company. It involved behavioral questions and scenarios to gauge how I would approach challenges and align with Google's values.
*Preparation for DSA Rounds:*
1. LeetCode Practice: I primarily used LeetCode to solve problems, starting with the Blind 75 to build a strong foundation in the basics.
2. Advanced Data Structures: To be thorough, I also prepared advanced data structures like Segment Trees, Union-Find, Trie Trees, etc.
3. Famous Algorithms: I made sure to cover algorithms like DFS, BFS, Dynamic Programming, KMP, and others.
4. Practice: I focused on solving at least 4-5 hard problems for each data structure and algorithm.
5. Tip: It’s helpful to practice solving previously asked questions in Google interviews, as this can give you a better sense of the types of problems to expect.
*Evaluation Criteria:*
*1. Communication:*
- Openly ask questions wherever you find ambiguities. Don’t assume anything—clarify with the interviewer.
- Discuss your approaches and start implementing only after agreeing on a solution with the interviewer.
*2. Time Management:*
- Each interview is generally 45 minutes long, so it's important to manage your time effectively. Ensure you have enough time to write and debug your code and address any follow-up questions.
*3. Code Quality:*
- Write code that is easy to read and understand. Use meaningful names for functions and variables, and ensure proper indentation.
- Aim to write bug-free code. If there are bugs and the interviewer points them out, you should be able to identify and fix them without additional hints.
- Always try to dry run your code with one or more examples to ensure it works as expected.
*React ❤️ for more*
❤4
*25 Coding Interview Preparation Tips*
This would save 1000+ hours:
1. Learn the fundamentals before diving into problem-solving.
2. Learn and practice topics by importance.
3. Look for key patterns that will help you solve multiple problems.
4. Stick with ONE programming language you know well.
5. Prepare well for self-introduction and final questions.
6. For your weaker topics, begin with easy problems.
7. Read editorials and other solutions before moving on.
8. Revisit questions you couldn’t solve every few weeks.
9. Prioritize practicing popular and frequently asked questions.
10. Maintain an Easy:Medium:Hard problem ratio of 30:50:20.
11. Don’t spend too much time on advanced data structures and math problems.
12. Solve topic-wise problems to grasp patterns.
13. Solve company-specific problems a few weeks before the interview.
14. Pick a few quality resources and stick to them. Less is more.
15. Spend less time watching “Day in the life” videos and more time practicing.
16. Practice writing code on a whiteboard or paper to simulate interviews.
17. Don’t just memorize solutions, understand the logic behind them.
18. Practice explaining your thought process out loud as you solve problems.
19. Time yourself to improve speed.
20. Take breaks and prioritize self-care to avoid burnout.
21. Practice mock interviews to reveal blind spots.
22. Don’t be shy to ask for help from others.
23. Take notes and track your progress and weak areas.
24. Start applying before you feel fully ready.
25. Practice, practice, practice. There’s no shortcut.
*Pro Tip:* It’s okay to fail at many problems at first. It’s part of learning. Just keep going!
*Double Tap ❤️ if this helped you!*
This would save 1000+ hours:
1. Learn the fundamentals before diving into problem-solving.
2. Learn and practice topics by importance.
3. Look for key patterns that will help you solve multiple problems.
4. Stick with ONE programming language you know well.
5. Prepare well for self-introduction and final questions.
6. For your weaker topics, begin with easy problems.
7. Read editorials and other solutions before moving on.
8. Revisit questions you couldn’t solve every few weeks.
9. Prioritize practicing popular and frequently asked questions.
10. Maintain an Easy:Medium:Hard problem ratio of 30:50:20.
11. Don’t spend too much time on advanced data structures and math problems.
12. Solve topic-wise problems to grasp patterns.
13. Solve company-specific problems a few weeks before the interview.
14. Pick a few quality resources and stick to them. Less is more.
15. Spend less time watching “Day in the life” videos and more time practicing.
16. Practice writing code on a whiteboard or paper to simulate interviews.
17. Don’t just memorize solutions, understand the logic behind them.
18. Practice explaining your thought process out loud as you solve problems.
19. Time yourself to improve speed.
20. Take breaks and prioritize self-care to avoid burnout.
21. Practice mock interviews to reveal blind spots.
22. Don’t be shy to ask for help from others.
23. Take notes and track your progress and weak areas.
24. Start applying before you feel fully ready.
25. Practice, practice, practice. There’s no shortcut.
*Pro Tip:* It’s okay to fail at many problems at first. It’s part of learning. Just keep going!
*Double Tap ❤️ if this helped you!*
❤3
🔰 *Python Roadmap for Beginners 2025*
├── 🧠 Introduction to Python & How It Works
├── 🧰 Setting Up Environment (IDE, Interpreter)
├── 📝 Basic Syntax & Indentation
├── 🔢 Variables, Data Types & Constants
├── ➕ Operators (Arithmetic, Relational, Logical, Bitwise)
├── 🔁 Flow Control (if, elif, else)
├── 🔄 Loops (for, while)
├── 🧩 Functions (Definition, Arguments, Recursion)
├── 📦 Lists, Tuples, Sets & Dictionaries
├── 🧱 File Handling (read, write, append)
├── 🧮 Exception Handling (try, except, finally)
├── 🏗 Modules & Packages
├── 🏛 Object-Oriented Programming (Classes, Objects, Inheritance, Polymorphism)
├── 🧠 Libraries & Frameworks (NumPy, Pandas, Flask, Django)
├── 🧪 Mini Projects (To-Do App, Calculator, Web Scraper)
*React with ❤️ for more roadmaps*
├── 🧠 Introduction to Python & How It Works
├── 🧰 Setting Up Environment (IDE, Interpreter)
├── 📝 Basic Syntax & Indentation
├── 🔢 Variables, Data Types & Constants
├── ➕ Operators (Arithmetic, Relational, Logical, Bitwise)
├── 🔁 Flow Control (if, elif, else)
├── 🔄 Loops (for, while)
├── 🧩 Functions (Definition, Arguments, Recursion)
├── 📦 Lists, Tuples, Sets & Dictionaries
├── 🧱 File Handling (read, write, append)
├── 🧮 Exception Handling (try, except, finally)
├── 🏗 Modules & Packages
├── 🏛 Object-Oriented Programming (Classes, Objects, Inheritance, Polymorphism)
├── 🧠 Libraries & Frameworks (NumPy, Pandas, Flask, Django)
├── 🧪 Mini Projects (To-Do App, Calculator, Web Scraper)
*React with ❤️ for more roadmaps*
❤4
*Complete C++ Roadmap*
|-- *C++_Fundamentals*
| |-- Syntax_and_Structure
| |-- Data_Types_and_Variables
| |-- Operators_and_Expressions
| |-- Conditional_Statements
| |-- Loops
| |-- Input_Output
| └─ Exception_Handling
|-- *Object_Oriented_Programming*(OOP)
| |-- Classes_and_Objects
| |-- Inheritance
| |-- Polymorphism
| |-- Abstraction
| └─ Encapsulation
|-- *STL_and_Data_Structures*
| |-- Vectors, Lists, Deques
| |-- Queues, Stacks, PriorityQueues
| |-- Maps, Unordered_Map, Sets, Unordered_Set
| |-- Smart Pointers (unique_ptr, shared_ptr)
| |-- Iterators and Algorithms
| └─ Time/Space Complexity Basics
|-- *Advanced_CPP_Concepts*
| |-- Templates (Function/Class)
| |-- Lambda_Expressions
| |-- Move Semantics & Rvalue References
| |-- Exceptions, RAII
| |-- The C++ Standard Library (C++ STL)
| └─ Memory Management & Ownership
|-- *Modern_CPP_Tools_and_Techniques*
| |-- CMake
| |-- Build Systems (Make, CMake)
| |-- Debugging (gdb, LLDB)
| |-- Profiling & Optimizations
| |-- Unit Testing (GoogleTest, Catch2)
|-- *Concurrency_and_Performance*
| |-- Threads & Synchronization
| |-- std::thread, mutexes, locks
| |-- Atomic operations
| |-- Parallel Algorithms (C++17/20)
| └─ Performance best practices
|-- *Systems_Programming_and_Design*
| |-- Pointers and Memory Layout
| |-- File I/O & Streams
| |-- System calls ( Basics )
| |-- Design patterns (Factory, Singleton, Observer)
| └─ API design basics
|-- *Web_development_with_C++*
| |-- REST services with C++ (Pistache, Boost.Beast)
| |-- CGI/HTTP basics
| |-- Embedding in servers (NGINX modules)
| └─ Interfacing with databases
|-- *Build_and_Deployment_Tools*
| |-- CMake
| |-- Makefiles
| |-- Version control (Git)
| |-- Docker (basic usage)
|-- *Interview_Preparation*
| |-- C++ Core Questions
| |-- OOP & Design Patterns in C++
| |-- DSA Problems in C++
| |-- Mock Interviews
|-- *OnlinePlatforms*
| |-- LeetCode
| |-- GeeksforGeeks
| |-- HackerRank
| └─ C++ Reference / cppreference.com
*❤️ React for more!* ☕🔥
|-- *C++_Fundamentals*
| |-- Syntax_and_Structure
| |-- Data_Types_and_Variables
| |-- Operators_and_Expressions
| |-- Conditional_Statements
| |-- Loops
| |-- Input_Output
| └─ Exception_Handling
|-- *Object_Oriented_Programming*(OOP)
| |-- Classes_and_Objects
| |-- Inheritance
| |-- Polymorphism
| |-- Abstraction
| └─ Encapsulation
|-- *STL_and_Data_Structures*
| |-- Vectors, Lists, Deques
| |-- Queues, Stacks, PriorityQueues
| |-- Maps, Unordered_Map, Sets, Unordered_Set
| |-- Smart Pointers (unique_ptr, shared_ptr)
| |-- Iterators and Algorithms
| └─ Time/Space Complexity Basics
|-- *Advanced_CPP_Concepts*
| |-- Templates (Function/Class)
| |-- Lambda_Expressions
| |-- Move Semantics & Rvalue References
| |-- Exceptions, RAII
| |-- The C++ Standard Library (C++ STL)
| └─ Memory Management & Ownership
|-- *Modern_CPP_Tools_and_Techniques*
| |-- CMake
| |-- Build Systems (Make, CMake)
| |-- Debugging (gdb, LLDB)
| |-- Profiling & Optimizations
| |-- Unit Testing (GoogleTest, Catch2)
|-- *Concurrency_and_Performance*
| |-- Threads & Synchronization
| |-- std::thread, mutexes, locks
| |-- Atomic operations
| |-- Parallel Algorithms (C++17/20)
| └─ Performance best practices
|-- *Systems_Programming_and_Design*
| |-- Pointers and Memory Layout
| |-- File I/O & Streams
| |-- System calls ( Basics )
| |-- Design patterns (Factory, Singleton, Observer)
| └─ API design basics
|-- *Web_development_with_C++*
| |-- REST services with C++ (Pistache, Boost.Beast)
| |-- CGI/HTTP basics
| |-- Embedding in servers (NGINX modules)
| └─ Interfacing with databases
|-- *Build_and_Deployment_Tools*
| |-- CMake
| |-- Makefiles
| |-- Version control (Git)
| |-- Docker (basic usage)
|-- *Interview_Preparation*
| |-- C++ Core Questions
| |-- OOP & Design Patterns in C++
| |-- DSA Problems in C++
| |-- Mock Interviews
|-- *OnlinePlatforms*
| |-- LeetCode
| |-- GeeksforGeeks
| |-- HackerRank
| └─ C++ Reference / cppreference.com
*❤️ React for more!* ☕🔥
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