What will be the output of the following JavaScript code
The output will be undefined.
In the obj, "this" keyword refers to the window object because getValue is an arrow function and it tries to find "value" property on this object and since it is undefined, it returns "undefined" as the final result.
In the obj, "this" keyword refers to the window object because getValue is an arrow function and it tries to find "value" property on this object and since it is undefined, it returns "undefined" as the final result.
👍1
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
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👍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❓