✅ Coding Interview Acronyms You MUST Know 💻🔥

DSA → Data Structures & Algorithms

CPU → Central Processing Unit

RAM → Random Access Memory

DBMS → Database Management System

RDBMS → Relational Database Management System

ACID → Atomicity, Consistency, Isolation, Durability

OLTP → Online Transaction Processing

OLAP → Online Analytical Processing

TCP → Transmission Control Protocol

IP → Internet Protocol

DNS → Domain Name System

MVC → Model View Controller

MVVM → Model View ViewModel

SDLC → Software Development Life Cycle

CI/CD → Continuous Integration / Continuous Deployment

JWT → JSON Web Token

ORM → Object Relational Mapping

API → Application Programming Interface

REST → Representational State Transfer

SOAP → Simple Object Access Protocol

Big O → Time & Space Complexity Notation

FIFO → First In First Out

LIFO → Last In First Out

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✅ Python Roadmap: Beginner to Advanced 🐍💡

1️⃣ Basics

• Syntax, indentation

• Variables & data types

• Operators (arithmetic, logical, comparison)

• Input/output

• Comments

2️⃣ Control Flow

• if, elif, else

• for loops

• while loops

• break, continue, pass

3️⃣ Data Structures

• Lists, Tuples, Sets, Dictionaries

• List comprehensions

• Nested structures

4️⃣ Functions

• def, return

• Arguments (default, args, *kwargs)

• Scope (local vs global)

• Lambda functions

5️⃣ Strings & File Handling

• String methods

• f-strings

• Reading/writing text and CSV files

6️⃣ Modules & Packages

• import, from-import

• Python Standard Library (math, random, datetime, os)

• Creating your own module

7️⃣ Error Handling

• try-except

• finally, raise

• Custom exceptions

8️⃣ Object-Oriented Programming (OOP)

• Classes & objects

• init, self

• Inheritance

• Encapsulation & polymorphism

9️⃣ Advanced Concepts

• Iterators & generators

• Decorators

• Context managers

• Regular expressions

• Comprehensions (dict, set)

🔟 Working with Libraries

• NumPy, Pandas

• Matplotlib, Seaborn

• Requests, BeautifulSoup (web scraping)

1️⃣1️⃣ Web Development

• Flask or Django basics

• Routing, templates

• REST APIs

1️⃣2️⃣ Data Science / ML Intro

• Jupyter notebooks

• Scikit-learn basics

• Model training & evaluation

1️⃣3️⃣ Automation & Scripting

• Automate files, emails, or browser (Selenium)

• Schedule scripts

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• Web scraper

• To-do app

• API backend

• Data dashboard

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1. 𝐀𝐩𝐩𝐥𝐲 𝐃𝐚𝐢𝐥𝐲: Submit applications for 30-40 jobs daily to increase visibility.

2. 𝐃𝐢𝐯𝐞𝐫𝐬𝐢𝐟𝐲 𝐀𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬: Apply for various job types, not just "easy apply" options.

3. 𝐀𝐩𝐩𝐥𝐲 𝐏𝐫𝐨𝐦𝐩𝐭𝐥𝐲: Turn on job alerts and apply as soon as positions are posted.

4. 𝐒𝐞𝐞𝐤 𝐑𝐞𝐟𝐞𝐫𝐫𝐚𝐥𝐬: For dream companies, quickly request referrals from employees. Connect with several people for better chances.

5. 𝐁𝐞 𝐃𝐢𝐫𝐞𝐜𝐭 𝐟𝐨𝐫 𝐑𝐞𝐟𝐞𝐫𝐫𝐚𝐥s: Don't start with "Hi" or "Hello". Send a cold message (short and crisp) with what you need and the job link. If you get a response, you can share your resume for referral. Follow up after one day if needed.

6. 𝐀𝐩𝐩𝐥𝐲 𝐖𝐢𝐭𝐡𝐢𝐧 𝐄𝐥𝐢𝐠𝐢𝐛𝐢𝐥𝐢𝐭𝐲: Only apply or seek referrals for roles where you meet the qualifications (or close enough).

7. 𝐎𝐩𝐭𝐢𝐦𝐢𝐳𝐞 𝐘𝐨𝐮𝐫 𝐏𝐫𝐨𝐟𝐢𝐥𝐞: Build a network of 500+ connections, update experiences, use a professional photo, and list relevant skills.

8. 𝐂𝐨𝐧𝐧𝐞𝐜𝐭 𝐰𝐢𝐭𝐡 𝐑𝐞𝐜𝐫𝐮𝐢𝐭𝐞𝐫𝐬: After applying, connect with job posters and recruiters, and send your CV with a cold message (short and crisp).

9. 𝐄𝐧𝐡𝐚𝐧𝐜𝐞 𝐕𝐢𝐬𝐢𝐛𝐢𝐥𝐢𝐭𝐲: Keep your profile visible, send connection requests, and share relevant content.

10. 𝐏𝐞𝐫𝐬𝐨𝐧𝐚𝐥𝐢𝐳𝐞 𝐂𝐨𝐧𝐧𝐞𝐜𝐭𝐢𝐨𝐧 𝐑𝐞𝐪𝐮𝐞𝐬𝐭𝐬: Customize requests to explain your interest.

11. 𝐄𝐧𝐠𝐚𝐠𝐞 𝐰𝐢𝐭𝐡 𝐂𝐨𝐧𝐭𝐞𝐧𝐭: Like, comment, and share posts to stay visible and expand your network.

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14. 𝐔𝐩𝐝𝐚𝐭𝐞 𝐇𝐞𝐚𝐝𝐥𝐢𝐧𝐞 𝐚𝐧𝐝 𝐒𝐮𝐦𝐦𝐚𝐫𝐲: Reflect your current role, skills, and aspirations with relevant keywords.

15. 𝐑𝐞𝐪𝐮𝐞𝐬𝐭 𝐑𝐞𝐜𝐨𝐦𝐦𝐞𝐧𝐝𝐚𝐭𝐢𝐨𝐧𝐬: Get endorsements from colleagues, managers, and clients.

16. 𝐅𝐨𝐥𝐥𝐨𝐰 𝐂𝐨𝐦𝐩𝐚𝐧𝐢𝐞𝐬: Stay updated on job openings and company news by following your target companies.

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⏰ Time: 7:00 PM

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