Complete Full-Stack Roadmap🔥
In 2 minutes👇
1.Web Fundamentals:
• HTML
• CSS
• JavaScript Basics
2. Front-End Development:
• Advanced HTML
• Advanced CSS
• Responsive Design
• CSS Grid
• Flexbox
- JavaScript Frameworks:
• React.js
• Angular
• Vue.js
- State Management:
• Redux,
• Context API (React),
• Vuex (Vue)
- Styling Libraries:
• Bootstrap
• Material-UI
• Tailwind CSS
- Build Tools:
• Webpack
• Parcel
- Version Control:
• Git
• GitHub
• GitLab
3. Back-End Development:
- Server-Side Languages:
• Node.js (JavaScript)
• Python
• Ruby
• Java
• C#
- Web Frameworks:
• Express.js (Node.js)
• Django (Python)
• Ruby on Rails (Ruby)
- Databases:
• SQL
• NoSQL
- API Development:
• RESTful APIs
• GraphQL
- Authentication & Authorization:
• JWT
• OAuth
- ORM/ODM:
• Sequelize (Node.js)
• SQLAlchemy (Python)
• ActiveRecord (Ruby)
- Web Security:
• OWASP Top Ten
• HTTPS
• CORS
4. Database Management:
- Database Modeling:
• ER Diagrams
• Database Normalization
- Advanced Queries:
• Joins
• Subqueries
• Indexing
- Transactions and Concurrency:
• ACID Properties
• Locking Mechanisms
5. API & Microservices:
- RESTful API Design:
• API Endpoints
• HTTP Methods
- Microservices Architecture:
• Docker
• Kubernetes
- Message Brokers:
• RabbitMQ
• Apache Kafka
6. Testing:
- Unit Testing:
• Jest (JavaScript)
• pytest (Python)
• RSpec (Ruby)
- Integration Testing:
• SuperTest (Node.js)
• Requests (Python)
- CI/CD:
• Jenkins
• GitLab CI
• Travis CI
7. Front-End Advanced:
- Front-End Frameworks:
• Next.js (React)
• Nuxt.js (Vue.js)
- State Management:
• MobX (React)
• Vuex (Vue.js)
• Server-Side Rendering (SSR)
• Static Site Generation (SSG)
8. Back-End Advanced:
- Serverless Architecture:
• AWS Lambda
• Azure Functions
- GraphQL:
• Apollo Server
• Express-GraphQL
- WebSockets:
• Socket.io (Node.js)
• Action Cable (Ruby on Rails)
9. DevOps and Deployment:
- Cloud Platforms:
• AWS
• Azure
• Google Cloud Platform
- Server Configuration:
• Nginx
• Apache
- Load Balancing and Scaling:
• HAProxy
• NGINX Load Balancer
- Monitoring and Logging:
• Prometheus,
• ELK Stack (Elasticsearch, Logstash, Kibana)
@javascript_resources
10. Mobile Development (Optional):
• React Native (React)
• Flutter (Dart)
11.Version Control:
• Git
• GitHub Actions
• GitLab CI/CD
12.Other Skills:
- Agile Methodologies:
• Scrum
• Kanban
- Soft Skills:
• Communication
• Problem-Solving
• Time Management
------------------- END ------------------
In 2 minutes👇
1.Web Fundamentals:
• HTML
• CSS
• JavaScript Basics
2. Front-End Development:
• Advanced HTML
• Advanced CSS
• Responsive Design
• CSS Grid
• Flexbox
- JavaScript Frameworks:
• React.js
• Angular
• Vue.js
- State Management:
• Redux,
• Context API (React),
• Vuex (Vue)
- Styling Libraries:
• Bootstrap
• Material-UI
• Tailwind CSS
- Build Tools:
• Webpack
• Parcel
- Version Control:
• Git
• GitHub
• GitLab
3. Back-End Development:
- Server-Side Languages:
• Node.js (JavaScript)
• Python
• Ruby
• Java
• C#
- Web Frameworks:
• Express.js (Node.js)
• Django (Python)
• Ruby on Rails (Ruby)
- Databases:
• SQL
• NoSQL
- API Development:
• RESTful APIs
• GraphQL
- Authentication & Authorization:
• JWT
• OAuth
- ORM/ODM:
• Sequelize (Node.js)
• SQLAlchemy (Python)
• ActiveRecord (Ruby)
- Web Security:
• OWASP Top Ten
• HTTPS
• CORS
4. Database Management:
- Database Modeling:
• ER Diagrams
• Database Normalization
- Advanced Queries:
• Joins
• Subqueries
• Indexing
- Transactions and Concurrency:
• ACID Properties
• Locking Mechanisms
5. API & Microservices:
- RESTful API Design:
• API Endpoints
• HTTP Methods
- Microservices Architecture:
• Docker
• Kubernetes
- Message Brokers:
• RabbitMQ
• Apache Kafka
6. Testing:
- Unit Testing:
• Jest (JavaScript)
• pytest (Python)
• RSpec (Ruby)
- Integration Testing:
• SuperTest (Node.js)
• Requests (Python)
- CI/CD:
• Jenkins
• GitLab CI
• Travis CI
7. Front-End Advanced:
- Front-End Frameworks:
• Next.js (React)
• Nuxt.js (Vue.js)
- State Management:
• MobX (React)
• Vuex (Vue.js)
• Server-Side Rendering (SSR)
• Static Site Generation (SSG)
8. Back-End Advanced:
- Serverless Architecture:
• AWS Lambda
• Azure Functions
- GraphQL:
• Apollo Server
• Express-GraphQL
- WebSockets:
• Socket.io (Node.js)
• Action Cable (Ruby on Rails)
9. DevOps and Deployment:
- Cloud Platforms:
• AWS
• Azure
• Google Cloud Platform
- Server Configuration:
• Nginx
• Apache
- Load Balancing and Scaling:
• HAProxy
• NGINX Load Balancer
- Monitoring and Logging:
• Prometheus,
• ELK Stack (Elasticsearch, Logstash, Kibana)
@javascript_resources
10. Mobile Development (Optional):
• React Native (React)
• Flutter (Dart)
11.Version Control:
• Git
• GitHub Actions
• GitLab CI/CD
12.Other Skills:
- Agile Methodologies:
• Scrum
• Kanban
- Soft Skills:
• Communication
• Problem-Solving
• Time Management
------------------- END ------------------
👍9❤1
Forwarded from Learn Python with Python Video Tutorial Python Course Python Note Python Book Python PDF Django Flask Python
Book pdf shared in private channel
📚50 Java Concepts Every Developer Should Know: The Perfect Guide Every Java Developer Needs to Get Started (2023)
@javascript_resources
@python_assets
https://t.me/c/2109572262/862
📚50 Java Concepts Every Developer Should Know: The Perfect Guide Every Java Developer Needs to Get Started (2023)
@javascript_resources
@python_assets
https://t.me/c/2109572262/862
Git Architecture Simplified:
1. Working Tree: This represents the current directory and files you are working on. This is where you make changes to your code or files.
git add/mv/rm: These commands allow you to stage changes. git add stages new changes, git mv stages file renames, and git rm stages file deletions.
git diff: This shows differences between the working tree and the staging area.
git diff HEAD: This shows differences between the working tree and the last commit in the local repository.
2. Staging Area: After you make changes in the working tree, you can stage them (i.e., prepare them for a commit).
The staging area is an intermediate area where these changes are stored before they are permanently stored in the local repository.
git commit: This command moves changes from the staging area to the local repository, creating a new commit.
3. Local Repository: Your commits are stored on your local machine.
git reset <file>: This command un-stages changes, moving them from the staging area back to the working tree.
git reset <commit>: This can be used to undo commits or change the current branch's head to a specific commit.
4. Remote Repository: This represents an online (or network) storage location where you store versions of your project. It's useful for collaborating with others and backing up your work.
git push: This command pushes changes from your local repository to the remote repository.
git fetch: This fetches changes from the remote repository without integrating them.
git clone/pull: git clone copies the remote repository to your local machine. git pull fetches changes from the remote repository and merges them into your current branch.
----------------------------------------------------------
Hope it was helpful!
@javascript_resources
@python_assets
1. Working Tree: This represents the current directory and files you are working on. This is where you make changes to your code or files.
git add/mv/rm: These commands allow you to stage changes. git add stages new changes, git mv stages file renames, and git rm stages file deletions.
git diff: This shows differences between the working tree and the staging area.
git diff HEAD: This shows differences between the working tree and the last commit in the local repository.
2. Staging Area: After you make changes in the working tree, you can stage them (i.e., prepare them for a commit).
The staging area is an intermediate area where these changes are stored before they are permanently stored in the local repository.
git commit: This command moves changes from the staging area to the local repository, creating a new commit.
3. Local Repository: Your commits are stored on your local machine.
git reset <file>: This command un-stages changes, moving them from the staging area back to the working tree.
git reset <commit>: This can be used to undo commits or change the current branch's head to a specific commit.
4. Remote Repository: This represents an online (or network) storage location where you store versions of your project. It's useful for collaborating with others and backing up your work.
git push: This command pushes changes from your local repository to the remote repository.
git fetch: This fetches changes from the remote repository without integrating them.
git clone/pull: git clone copies the remote repository to your local machine. git pull fetches changes from the remote repository and merges them into your current branch.
----------------------------------------------------------
Hope it was helpful!
@javascript_resources
@python_assets
👍2
JavaScript String Functions🔥
Forwarded from Learn Python with Python Video Tutorial Python Course Python Note Python Book Python PDF Django Flask Python
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
|
|-- Online_Judges_and_Practice_Platforms
| |-- LeetCode
| |-- HackerRank
| |-- CodeChef
| |-- Codeforces
| └─ HackerEarth
|
└─ Interview_Preparation
|-- Commonly_Asked_DSA_Interview_Questions
|-- Mock_Interviews
|-- Problem-Solving_Strategies
|-- Time_and_Space_Complexity_Analysis
└─ Coding_Patterns_and_Techniques
@javascript_resources
@python_assets
------------------- END -------------------
Coding Platforms
• LeetCode
• HackerRank
• CodeChef
• GeeksforGeeks
• TopCoder
|
|-- 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
|
|-- Online_Judges_and_Practice_Platforms
| |-- LeetCode
| |-- HackerRank
| |-- CodeChef
| |-- Codeforces
| └─ HackerEarth
|
└─ Interview_Preparation
|-- Commonly_Asked_DSA_Interview_Questions
|-- Mock_Interviews
|-- Problem-Solving_Strategies
|-- Time_and_Space_Complexity_Analysis
└─ Coding_Patterns_and_Techniques
@javascript_resources
@python_assets
------------------- END -------------------
Coding Platforms
• LeetCode
• HackerRank
• CodeChef
• GeeksforGeeks
• TopCoder
❤1
For questions here is the Chat group link
https://t.me/+2KE896TMwHkxOWE1
For Resources aka PDfs and Ebooks group link
https://t.me/+eweUkdFwlho4YjRl
Join Python Channel
https://t.me/python_assets
https://t.me/+2KE896TMwHkxOWE1
For Resources aka PDfs and Ebooks group link
https://t.me/+eweUkdFwlho4YjRl
Join Python Channel
https://t.me/python_assets
Telegram
Webos
You’ve been invited to join this group on Telegram.
👍1
Learn Backend development 💯
👨💻Languages:
- JavaScript
- Python
- Java
- PHP
🕹Frameworks:
- Express.js
- Django
- Flask
- Laravel
- Spring
📊Database:
- MySQL
- PostgreSQL
- MongoDB
- Firebase
- Supabase
🧱Containerization Tools:
- Docker
- Kubernetes
👨💻Languages:
- JavaScript
- Python
- Java
- PHP
🕹Frameworks:
- Express.js
- Django
- Flask
- Laravel
- Spring
📊Database:
- MySQL
- PostgreSQL
- MongoDB
- Firebase
- Supabase
🧱Containerization Tools:
- Docker
- Kubernetes
👍4❤1
Top 12 Tips for API Security
- Use HTTPS
- Use OAuth2
- Use WebAuthn
- Use Leveled API Keys
- Authorization
- Rate Limiting
- API Versioning
- Whitelisting
- Check OWASP API Security Risks
- Use API Gateway
- Error Handling
- Input Validation
- Use HTTPS
- Use OAuth2
- Use WebAuthn
- Use Leveled API Keys
- Authorization
- Rate Limiting
- API Versioning
- Whitelisting
- Check OWASP API Security Risks
- Use API Gateway
- Error Handling
- Input Validation
Kit
ByteByteGo System Design Newsletter
What is facicon and How to add a Favicon to a website❓
▪️ Favicon is a small image that appears beside the website name.
▪️ It is known by many names like tab icon, bookmark icon because it is displayed on a browser's tab, bookmark bar etc.
▪️ Most famous & widely used format for favicon is .ico
▪️ It is known by many names like tab icon, bookmark icon because it is displayed on a browser's tab, bookmark bar etc.
▪️ Most famous & widely used format for favicon is .ico
1. How to create a Favicon?
▪️ Any image can work but it should be small & simple with high contrast
▪️ Normally preferred sizes are 16 x 16 and 32 x 32.
▪️ You can also create & download a favicon using these sites →
• favicon.cc
• favicon.io
▪️ Any image can work but it should be small & simple with high contrast
▪️ Normally preferred sizes are 16 x 16 and 32 x 32.
▪️ You can also create & download a favicon using these sites →
• favicon.cc
• favicon.io