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๐—ง๐—ผ๐—ฝ ๐Ÿญ๐Ÿฑ ๐—š๐—ฎ๐—บ๐—ฒ ๐——๐—ฒ๐˜ƒ ๐—Ÿ๐—ฎ๐—ป๐—ด๐˜‚๐—ฎ๐—ด๐—ฒ๐˜€๐Ÿ‘พ๐ŸŽฎ

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
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Java Developer Interview โค
It'll gonna be super helpful for YOU

๐—ง๐—ผ๐—ฝ๐—ถ๐—ฐ ๐Ÿญ: ๐—ฃ๐—ฟ๐—ผ๐—ท๐—ฒ๐—ฐ๐˜ ๐—ณ๐—น๐—ผ๐˜„ ๐—ฎ๐—ป๐—ฑ ๐—ฎ๐—ฟ๐—ฐ๐—ต๐—ถ๐˜๐—ฒ๐—ฐ๐˜๐˜‚๐—ฟ๐—ฒ
- Please tell me about your project and its architecture, Challenges faced?
- What was your role in the project? Tech Stack of project? why this stack?
- Problem you solved during the project? How collaboration within the team?
- What lessons did you learn from working on this project?
- If you could go back, what would you do differently in this project?

๐—ง๐—ผ๐—ฝ๐—ถ๐—ฐ ๐Ÿฎ: ๐—–๐—ผ๐—ฟ๐—ฒ ๐—๐—ฎ๐˜ƒ๐—ฎ
- String Concepts/Hashcode- Equal Methods
- Immutability
- OOPS concepts
- Serialization
- Collection Framework
- Exception Handling
- Multithreading
- Java Memory Model
- Garbage collection

๐—ง๐—ผ๐—ฝ๐—ถ๐—ฐ ๐Ÿฏ: ๐—๐—ฎ๐˜ƒ๐—ฎ-๐Ÿด/๐—๐—ฎ๐˜ƒ๐—ฎ-๐Ÿญ๐Ÿญ/๐—๐—ฎ๐˜ƒ๐—ฎ๐Ÿญ๐Ÿณ
- Java 8 features
- Default/Static methods
- Lambda expression
- Functional interfaces
- Optional API
- Stream API
- Pattern matching
- Text block
- Modules

๐—ง๐—ผ๐—ฝ๐—ถ๐—ฐ ๐Ÿฐ: ๐—ฆ๐—ฝ๐—ฟ๐—ถ๐—ป๐—ด ๐—™๐—ฟ๐—ฎ๐—บ๐—ฒ๐˜„๐—ผ๐—ฟ๐—ธ, ๐—ฆ๐—ฝ๐—ฟ๐—ถ๐—ป๐—ด-๐—•๐—ผ๐—ผ๐˜, ๐— ๐—ถ๐—ฐ๐—ฟ๐—ผ๐˜€๐—ฒ๐—ฟ๐˜ƒ๐—ถ๐—ฐ๐—ฒ, ๐—ฎ๐—ป๐—ฑ ๐—ฅ๐—ฒ๐˜€๐˜ ๐—”๐—ฃ๐—œ
- Dependency Injection/IOC, Spring MVC
- Configuration, Annotations, CRUD
- Bean, Scopes, Profiles, Bean lifecycle
- App context/Bean context
- AOP, Exception Handler, Control Advice
- Security (JWT, Oauth)
- Actuators
- WebFlux and Mono Framework
- HTTP methods
- JPA
- Microservice concepts
- Spring Cloud

๐—ง๐—ผ๐—ฝ๐—ถ๐—ฐ ๐Ÿฑ: ๐—›๐—ถ๐—ฏ๐—ฒ๐—ฟ๐—ป๐—ฎ๐˜๐—ฒ/๐—ฆ๐—ฝ๐—ฟ๐—ถ๐—ป๐—ด-๐—ฑ๐—ฎ๐˜๐—ฎ ๐—๐—ฝ๐—ฎ/๐——๐—ฎ๐˜๐—ฎ๐—ฏ๐—ฎ๐˜€๐—ฒ (๐—ฆ๐—ค๐—Ÿ ๐—ผ๐—ฟ ๐—ก๐—ผ๐—ฆ๐—ค๐—Ÿ)
- JPA Repositories
- Relationship with Entities
- SQL queries on Employee department
- Queries, Highest Nth salary queries
- Relational and No-Relational DB concepts
- CRUD operations in DB
- Joins, indexing, procs, function

๐—ง๐—ผ๐—ฝ๐—ถ๐—ฐ ๐Ÿฒ: ๐—–๐—ผ๐—ฑ๐—ถ๐—ป๐—ด
- DSA Related Questions
- Sorting and searching using Java API.
- Stream API coding Questions

๐—ง๐—ผ๐—ฝ๐—ถ๐—ฐ ๐Ÿณ: ๐——๐—ฒ๐˜ƒ๐—ผ๐—ฝ๐˜€ ๐—พ๐˜‚๐—ฒ๐˜€๐˜๐—ถ๐—ผ๐—ป๐˜€ ๐—ผ๐—ป ๐—ฑ๐—ฒ๐—ฝ๐—น๐—ผ๐˜†๐—บ๐—ฒ๐—ป๐˜ ๐—ง๐—ผ๐—ผ๐—น๐˜€
- These types of topics are mostly asked by managers or leads who are heavily working on it, That's why they may grill you on DevOps/deployment-related tools, You should have an understanding of common tools like Jenkins, Kubernetes, Kafka, Cloud, and all.

๐—ง๐—ผ๐—ฝ๐—ถ๐—ฐ๐˜€ ๐Ÿด: ๐—•๐—ฒ๐˜€๐˜ ๐—ฝ๐—ฟ๐—ฎ๐—ฐ๐˜๐—ถ๐—ฐ๐—ฒ
- The interviewer always wanted to ask about some design patterns, it may be Normal design patterns like singleton, factory, or observer patterns to know that you can use these in coding.

Make sure to scroll through the above messages ๐Ÿ’ definitely you will get the more interesting things ๐Ÿค 

All the best ๐Ÿ‘๐Ÿ‘
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Python Project Ideas
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๐Ÿ’ป Want to Clear Your Next Java Developer Interview?

Prepare these topics to ace your next Java interview! ๐Ÿš€

๐“๐จ๐ฉ๐ข๐œ ๐Ÿ: ๐๐ซ๐จ๐ฃ๐ž๐œ๐ญ ๐…๐ฅ๐จ๐ฐ ๐š๐ง๐ ๐€๐ซ๐œ๐ก๐ข๐ญ๐ž๐œ๐ญ๐ฎ๐ซ๐ž
๐Ÿ”น Describe your project and its architecture.
๐Ÿ”น Challenges faced and your role in the project.
๐Ÿ”น Tech stack used and the reasoning behind it.
๐Ÿ”น Problem-solving, collaboration, and lessons learned.
๐Ÿ”น Reflect on what you'd do differently.

๐“๐จ๐ฉ๐ข๐œ ๐Ÿ: ๐‚๐จ๐ซ๐ž ๐‰๐š๐ฏ๐š
๐Ÿ”น String concepts (hashcode, equals).
๐Ÿ”น Immutability, OOPS concepts.
๐Ÿ”น Serialization, Collection Framework.
๐Ÿ”น Exception handling, multithreading.
๐Ÿ”น Java Memory Model, garbage collection.

๐“๐จ๐ฉ๐ข๐œ ๐Ÿ‘: ๐‰๐š๐ฏ๐š ๐Ÿ–/๐Ÿ๐Ÿ/๐Ÿ๐Ÿ• Features
๐Ÿ”น Java 8 features: Lambda expressions, Stream API, Optional API.
๐Ÿ”น Functional interfaces, default/static methods.
๐Ÿ”น Pattern matching, text blocks, modules.

๐“๐จ๐ฉ๐ข๐œ ๐Ÿ’: ๐’๐ฉ๐ซ๐ข๐ง๐  & ๐’๐ฉ๐ซ๐ข๐ง๐  ๐๐จ๐จ๐ญ
๐Ÿ”น Dependency Injection, IOC, Spring MVC.
๐Ÿ”น Bean lifecycle, scopes, profiles.
๐Ÿ”น REST API, CRUD, AOP, Exception handling.
๐Ÿ”น JWT, OAuth, actuators, WebFlux.
๐Ÿ”น Microservices, Spring Cloud, JPA.

๐“๐จ๐ฉ๐ข๐œ ๐Ÿ“: ๐ƒ๐š๐ญ๐š๐›๐š๐ฌ๐ž (๐’๐๐‹/๐๐จ๐’๐๐‹)
๐Ÿ”น JPA repositories, entity relationships.
๐Ÿ”น SQL queries (e.g., Nth highest salary).
๐Ÿ”น Relational and non-relational DB concepts.
๐Ÿ”น Joins, indexing, stored procedures.

๐“๐จ๐ฉ๐ข๐œ ๐Ÿ”: ๐‚๐จ๐๐ข๐ง๐ 
๐Ÿ”น DSA-based questions.
๐Ÿ”น Sorting/searching with Java APIs.
๐Ÿ”น Stream API coding questions.

๐“๐จ๐ฉ๐ข๐œ ๐Ÿ•: ๐ƒ๐ž๐ฏ๐Ž๐ฉ๐ฌ & ๐ƒ๐ž๐ฉ๐ฅ๐จ๐ฒ๐ฆ๐ž๐ง๐ญ
๐Ÿ”น Familiarize yourself with tools like Jenkins, Kubernetes, Kafka, and cloud technologies.

๐“๐จ๐ฉ๐ข๐œ ๐Ÿ–: ๐๐ž๐ฌ๐ญ ๐๐ซ๐š๐œ๐ญ๐ข๐œ๐ž๐ฌ
๐Ÿ”น Master design patterns like singleton, factory, observer, etc.

โœจ Nail your interview with confidence! โœจ

#JavaInterview #JavaDeveloper
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๐Ÿ“ˆ Predictive Modeling for Future Stock Prices in Python: A Step-by-Step Guide

The process of building a stock price prediction model using Python.

1. Import required modules

2. Obtaining historical data on stock prices

3. Selection of features.

4. Definition of features and target variable

5. Preparing data for training

6. Separation of data into training and test sets

7. Building and training the model

8. Making forecasts

9. Trading Strategy Testing
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Web Development Beginner to Expert Level Project Ideas
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Software development is complex, and the fancy names don't help.

Hashing vs. Encryption vs. Encoding


๐—›๐—ฎ๐˜€๐—ต๐—ถ๐—ป๐—ด

This is a one-way process used for data integrity verification.

When you hash data, you get a unique string representing the original data.

It's a one-way street; once you hash something, you can't get the original data back from the hash.

While multiple values can theoretically yield the same hash, well-crafted cryptographic hash functions make such collisions incredibly rare and nearly impossible to compute.

This property makes it perfect for verifying if someone altered the data.

If even one-bit changes in the original data, the hash changes dramatically.


๐—˜๐—ป๐—ฐ๐—ฟ๐˜†๐—ฝ๐˜๐—ถ๐—ผ๐—ป

This is the real deal when it comes to data security.

It uses algorithms and keys to transform readable data (plaintext) into an unreadable format (ciphertext).

Only those with the correct key can unlock (decrypt) the data and read it.

This process is reversible, unlike hashing.

Encryption is critical for protecting sensitive data from unauthorized access.


๐—˜๐—ป๐—ฐ๐—ผ๐—ฑ๐—ถ๐—ป๐—ด

This is all about data representation.

It converts data from one format to another, making it easier to interpret and display.

Common formats:

โ€ข Base64
โ€ข UTF-8
โ€ข ASCII

Encoding does NOT provide security! It's for data transmission and storage convenience.


One common use of hashing is for secure password storage.

When you create an account or set a password, the system hashes and stores the password in the database.

During login, the system hashes the provided password and compares it to the stored hash without revealing the password.
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Top 5 Powerful Python Functions Every Developer Should Know
๐Ÿ‘‡๐Ÿ‘‡
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5 Data Analysis Projects โœ…
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