React.js Learning Roadmap: From Basics to Advanced
1. Getting Started with React.js
Introduction to React: Understand what React is and why itโs popular.
Setup: Install Node.js, npm, and create a React app using create-react-app or Vite.
JSX Basics: Learn how to write JSX and its difference from HTML.
2. Core Concepts
Components: Understand functional and class components.
Props: Pass data between components.
State: Manage component state using useState.
Lifecycle Methods: Learn hooks like useEffect for handling component lifecycle events.
3. Handling Events and Forms
Event Handling: Add event listeners to elements and handle events in components.
Forms: Build forms, manage form inputs, and validate data.
4. React Router
Routing Basics: Install React Router and set up basic navigation.
Dynamic Routing: Use URL parameters for dynamic pages.
Protected Routes: Restrict access based on authentication.
5. State Management
Context API: Share state across components without prop drilling.
Redux: Learn Redux basics, actions, reducers, and the store.
Redux Toolkit: Simplify Redux with modern tools.
6. Working with APIs
Fetch Data: Use fetch or axios to call APIs.
Manage Loading and Errors: Handle loading states and API errors.
Global State: Manage API data in Redux or Context API.
7. Styling in React
CSS Modules: Use modular CSS for styling.
Styled Components: Write CSS-in-JS for component-specific styles.
UI Libraries: Use Material-UI, TailwindCSS, or Ant Design for prebuilt components.
8. Optimizing React Apps
Performance Optimization: Use React.iss.onemo, useCallback, and useMemo.
Code Splitting: Implement dynamic imports for smaller bundle sizes.
Lazy Loading: Load components on demand using React.lazy and Suspense.
9. Testing in React
Unit Testing: Test components with Jest and React Testing Library.
End-to-End Testing: Use tools like Cypress for full application testing.
10. Advanced Topics
Custom Hooks: Create reusable logic using hooks.
Error Boundaries: Catch and handle errors in components.
Server-Side Rendering (SSR): Use Next.js for SSR and SEO benefits.
Progressive Web Apps (PWAs): Convert your React app into a PWA.
11. Build Projects
Beginner: Create a counter app, to-do list, or a simple weather app.
Intermediate: Build a movie search app or a blog with API integration.
Advanced: Develop an e-commerce app or a social media dashboard.
Deploy projects on Netlify, Vercel, or Firebase Hosting.
๐ Web Development Resources
ENJOY LEARNING ๐๐
1. Getting Started with React.js
Introduction to React: Understand what React is and why itโs popular.
Setup: Install Node.js, npm, and create a React app using create-react-app or Vite.
JSX Basics: Learn how to write JSX and its difference from HTML.
2. Core Concepts
Components: Understand functional and class components.
Props: Pass data between components.
State: Manage component state using useState.
Lifecycle Methods: Learn hooks like useEffect for handling component lifecycle events.
3. Handling Events and Forms
Event Handling: Add event listeners to elements and handle events in components.
Forms: Build forms, manage form inputs, and validate data.
4. React Router
Routing Basics: Install React Router and set up basic navigation.
Dynamic Routing: Use URL parameters for dynamic pages.
Protected Routes: Restrict access based on authentication.
5. State Management
Context API: Share state across components without prop drilling.
Redux: Learn Redux basics, actions, reducers, and the store.
Redux Toolkit: Simplify Redux with modern tools.
6. Working with APIs
Fetch Data: Use fetch or axios to call APIs.
Manage Loading and Errors: Handle loading states and API errors.
Global State: Manage API data in Redux or Context API.
7. Styling in React
CSS Modules: Use modular CSS for styling.
Styled Components: Write CSS-in-JS for component-specific styles.
UI Libraries: Use Material-UI, TailwindCSS, or Ant Design for prebuilt components.
8. Optimizing React Apps
Performance Optimization: Use React.iss.onemo, useCallback, and useMemo.
Code Splitting: Implement dynamic imports for smaller bundle sizes.
Lazy Loading: Load components on demand using React.lazy and Suspense.
9. Testing in React
Unit Testing: Test components with Jest and React Testing Library.
End-to-End Testing: Use tools like Cypress for full application testing.
10. Advanced Topics
Custom Hooks: Create reusable logic using hooks.
Error Boundaries: Catch and handle errors in components.
Server-Side Rendering (SSR): Use Next.js for SSR and SEO benefits.
Progressive Web Apps (PWAs): Convert your React app into a PWA.
11. Build Projects
Beginner: Create a counter app, to-do list, or a simple weather app.
Intermediate: Build a movie search app or a blog with API integration.
Advanced: Develop an e-commerce app or a social media dashboard.
Deploy projects on Netlify, Vercel, or Firebase Hosting.
๐ Web Development Resources
ENJOY LEARNING ๐๐
๐7โค5
๐ง๐ผ๐ฝ ๐ญ๐ฑ ๐๐ฎ๐บ๐ฒ ๐๐ฒ๐ ๐๐ฎ๐ป๐ด๐๐ฎ๐ด๐ฒ๐๐พ๐ฎ
1. C++: AAA games (Unreal)
2. C#: Unity, indie game
3. JavaScript: Web game
4. Java: Android game
5. Python: Prototypes (Pygame)
6. Lua: Scripting (Roblox)
7. Swift: iOS games
8. Objective-C: Legacy iOS/macOS
9. Rust: System-level (Amethyst)
10. Go: Multiplayer servers
11. HTML5 + JS: Simple 2D games
12. Kotlin: Android apps
13. Haxe: Cross-platform 2D
14. TypeScript: Scalable web games
15. Ruby: Lightweight 2D games
1. C++: AAA games (Unreal)
2. C#: Unity, indie game
3. JavaScript: Web game
4. Java: Android game
5. Python: Prototypes (Pygame)
6. Lua: Scripting (Roblox)
7. Swift: iOS games
8. Objective-C: Legacy iOS/macOS
9. Rust: System-level (Amethyst)
10. Go: Multiplayer servers
11. HTML5 + JS: Simple 2D games
12. Kotlin: Android apps
13. Haxe: Cross-platform 2D
14. TypeScript: Scalable web games
15. Ruby: Lightweight 2D games
๐9
๐คฉ Quick Roadmaps to Learn ๐คฉ
โค๏ธ Javascript
https://roadmap.sh/javascript
โค๏ธ Data Science
https://miro.medium.com/max/828/1*UQ9M5X6R1LVPzwc4bfnt9w.webp
โค๏ธ Frontend development
https://i0.wp.com/css-tricks.com/wp-content/uploads/2018/07/modern-front-end-developer.png?ssl=1
โค๏ธ Data Analyst Roadmap
https://t.iss.one/sqlspecialist/379
โค๏ธ AI/ML
https://i.am.ai/roadmap
โค๏ธ Javascript
https://roadmap.sh/javascript
โค๏ธ Data Science
https://miro.medium.com/max/828/1*UQ9M5X6R1LVPzwc4bfnt9w.webp
โค๏ธ Frontend development
https://i0.wp.com/css-tricks.com/wp-content/uploads/2018/07/modern-front-end-developer.png?ssl=1
โค๏ธ Data Analyst Roadmap
https://t.iss.one/sqlspecialist/379
โค๏ธ AI/ML
https://i.am.ai/roadmap
๐5๐ฅฐ1
DSA INTERVIEW QUESTIONS AND ANSWERS
1. What is the difference between file structure and storage structure?
The difference lies in the memory area accessed. Storage structure refers to the data structure in the memory of the computer system,
whereas file structure represents the storage structure in the auxiliary memory.
2. Are linked lists considered linear or non-linear Data Structures?
Linked lists are considered both linear and non-linear data structures depending upon the application they are used for. When used for
access strategies, it is considered as a linear data-structure. When used for data storage, it is considered a non-linear data structure.
3. How do you reference all of the elements in a one-dimension array?
All of the elements in a one-dimension array can be referenced using an indexed loop as the array subscript so that the counter runs
from 0 to the array size minus one.
4. What are dynamic Data Structures? Name a few.
They are collections of data in memory that expand and contract to grow or shrink in size as a program runs. This enables the programmer
to control exactly how much memory is to be utilized.Examples are the dynamic array, linked list, stack, queue, and heap.
5. What is a Dequeue?
It is a double-ended queue, or a data structure, where the elements can be inserted or deleted at both ends (FRONT and REAR).
6. What operations can be performed on queues?
enqueue() adds an element to the end of the queue
dequeue() removes an element from the front of the queue
init() is used for initializing the queue
isEmpty tests for whether or not the queue is empty
The front is used to get the value of the first data item but does not remove it
The rear is used to get the last item from a queue.
7. What is the merge sort? How does it work?
Merge sort is a divide-and-conquer algorithm for sorting the data. It works by merging and sorting adjacent data to create bigger sorted
lists, which are then merged recursively to form even bigger sorted lists until you have one single sorted list.
8.How does the Selection sort work?
Selection sort works by repeatedly picking the smallest number in ascending order from the list and placing it at the beginning. This process is repeated moving toward the end of the list or sorted subarray.
Scan all items and find the smallest. Switch over the position as the first item. Repeat the selection sort on the remaining N-1 items. We always iterate forward (i from 0 to N-1) and swap with the smallest element (always i).
Time complexity: best case O(n2); worst O(n2)
Space complexity: worst O(1)
9. What are the applications of graph Data Structure?
Transport grids where stations are represented as vertices and routes as the edges of the graph
Utility graphs of power or water, where vertices are connection points and edge the wires or pipes connecting them
Social network graphs to determine the flow of information and hotspots (edges and vertices)
Neural networks where vertices represent neurons and edge the synapses between them
10. What is an AVL tree?
An AVL (Adelson, Velskii, and Landi) tree is a height balancing binary search tree in which the difference of heights of the left
and right subtrees of any node is less than or equal to one. This controls the height of the binary search tree by not letting
it get skewed. This is used when working with a large data set, with continual pruning through insertion and deletion of data.
11. Differentiate NULL and VOID ?
Null is a value, whereas Void is a data type identifier
Null indicates an empty value for a variable, whereas void indicates pointers that have no initial size
Null means it never existed; Void means it existed but is not in effect
You can check these resources for Coding interview Preparation
Credits: https://t.iss.one/free4unow_backup
All the best ๐๐
1. What is the difference between file structure and storage structure?
The difference lies in the memory area accessed. Storage structure refers to the data structure in the memory of the computer system,
whereas file structure represents the storage structure in the auxiliary memory.
2. Are linked lists considered linear or non-linear Data Structures?
Linked lists are considered both linear and non-linear data structures depending upon the application they are used for. When used for
access strategies, it is considered as a linear data-structure. When used for data storage, it is considered a non-linear data structure.
3. How do you reference all of the elements in a one-dimension array?
All of the elements in a one-dimension array can be referenced using an indexed loop as the array subscript so that the counter runs
from 0 to the array size minus one.
4. What are dynamic Data Structures? Name a few.
They are collections of data in memory that expand and contract to grow or shrink in size as a program runs. This enables the programmer
to control exactly how much memory is to be utilized.Examples are the dynamic array, linked list, stack, queue, and heap.
5. What is a Dequeue?
It is a double-ended queue, or a data structure, where the elements can be inserted or deleted at both ends (FRONT and REAR).
6. What operations can be performed on queues?
enqueue() adds an element to the end of the queue
dequeue() removes an element from the front of the queue
init() is used for initializing the queue
isEmpty tests for whether or not the queue is empty
The front is used to get the value of the first data item but does not remove it
The rear is used to get the last item from a queue.
7. What is the merge sort? How does it work?
Merge sort is a divide-and-conquer algorithm for sorting the data. It works by merging and sorting adjacent data to create bigger sorted
lists, which are then merged recursively to form even bigger sorted lists until you have one single sorted list.
8.How does the Selection sort work?
Selection sort works by repeatedly picking the smallest number in ascending order from the list and placing it at the beginning. This process is repeated moving toward the end of the list or sorted subarray.
Scan all items and find the smallest. Switch over the position as the first item. Repeat the selection sort on the remaining N-1 items. We always iterate forward (i from 0 to N-1) and swap with the smallest element (always i).
Time complexity: best case O(n2); worst O(n2)
Space complexity: worst O(1)
9. What are the applications of graph Data Structure?
Transport grids where stations are represented as vertices and routes as the edges of the graph
Utility graphs of power or water, where vertices are connection points and edge the wires or pipes connecting them
Social network graphs to determine the flow of information and hotspots (edges and vertices)
Neural networks where vertices represent neurons and edge the synapses between them
10. What is an AVL tree?
An AVL (Adelson, Velskii, and Landi) tree is a height balancing binary search tree in which the difference of heights of the left
and right subtrees of any node is less than or equal to one. This controls the height of the binary search tree by not letting
it get skewed. This is used when working with a large data set, with continual pruning through insertion and deletion of data.
11. Differentiate NULL and VOID ?
Null is a value, whereas Void is a data type identifier
Null indicates an empty value for a variable, whereas void indicates pointers that have no initial size
Null means it never existed; Void means it existed but is not in effect
You can check these resources for Coding interview Preparation
Credits: https://t.iss.one/free4unow_backup
All the best ๐๐
๐9โค4
Quick Roadmaps to start learning something new before 2025 ๐
๐ Java
๐ Python
๐ Javascript
๐ Data Analysis
๐ Data Science
๐ Frontend development
๐ AI/ML
๐ SQL
๐ Web development
๐ Tableau
๐ Cyber Security
๐ Ethical Hacking
Always remember consistency is the key โ small efforts today lead to big achievements tomorrow. Start now, embrace the journey, and watch your growth unfold. ๐ช
In case you need some help, feel free to reach out to me @love_data
ENJOY LEARNING ๐๐
๐ Java
๐ Python
๐ Javascript
๐ Data Analysis
๐ Data Science
๐ Frontend development
๐ AI/ML
๐ SQL
๐ Web development
๐ Tableau
๐ Cyber Security
๐ Ethical Hacking
Always remember consistency is the key โ small efforts today lead to big achievements tomorrow. Start now, embrace the journey, and watch your growth unfold. ๐ช
In case you need some help, feel free to reach out to me @love_data
ENJOY LEARNING ๐๐
๐7โค3๐1