𝗛𝗼𝘄 𝘁𝗼 𝗖𝗿𝗮𝗰𝗸 𝗬𝗼𝘂𝗿 𝗙𝗶𝗿𝘀𝘁 𝗧𝗲𝗰𝗵 𝗜𝗻𝘁𝗲𝗿𝗻𝘀𝗵𝗶𝗽 (𝗘𝘃𝗲𝗻 𝗪𝗶𝘁𝗵𝗼𝘂𝘁 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲!)🚀

Breaking into tech without prior experience can feel impossible—especially when every posting demands what you don’t have: experience.
But here’s the truth: Skills > Experience (especially for interns).

Let’s break it down into a proven 6-step roadmap that actually works👇

🔹 𝗦𝘁𝗲𝗽 𝟭: Build Core Skills (No CS Degree Needed!)
Start with the fundamentals:
✅ Choose one language: Python / JavaScript / C++
✅ Learn DSA basics: Arrays, Strings, Recursion, Hashmaps
✅ Explore either Web Dev (HTML, CSS, JS) or Backend (Node.js, Flask)
✅ Understand SQL + Git/GitHub for version control

🔹 𝗦𝘁𝗲𝗽 𝟮: Build Mini Projects (Your Real Resume!)
Internships look for what you can do, not just what you’ve learned. Build:
✅ A Portfolio Website (HTML, CSS, JS)
✅ A To-Do App (React + Firebase)
✅ A REST API (Node.js + MongoDB)

👉 One solid project > Dozens of certificates.
📍 Showcase it on GitHub and LinkedIn.

🔹 𝗦𝘁𝗲𝗽 𝟯: Contribute to Open Source (Get Real-World Exposure)
You don’t need a job to gain experience. Try:
✅ Beginner-friendly GitHub repos
✅ Fixing bugs, improving documentation
✅ Participating in Hacktoberfest, GirlScript, MLH

This builds confidence and credibility.

🔹 𝗦𝘁𝗲𝗽 𝟰: Optimize Resume & LinkedIn (Your Digital First Impression)
❌ No generic lines like “I’m passionate about coding”
✅ Highlight projects, GitHub links, and tech stack
✅ Use keywords like “Software Engineering Intern | JavaScript | SQL”
✅ Keep it concise—1 page is enough

📌 Stay active on GitHub + LinkedIn. Recruiters notice!

🔹 𝗦𝘁𝗲𝗽 𝟱: Apply Smart, Not Hard
Don’t just mass-apply. Be strategic:
✅ Check internship portals (Internshala, LinkedIn, AngelList)
✅ Explore company careers pages (TCS, Infosys, Amazon, startups)
✅ Reach out via referrals—network with seniors, alumni, or connections

💬 Try:
"Hi [Name], I admire your work at [Company]. I’ve been building skills in [Tech] and am seeking an internship. Are there any roles I could apply for?"

Networking opens doors applications can’t.

🔹 𝗦𝘁𝗲𝗽 𝟲:Ace the Interview (Preparation Beats Perfection)
✅ Know your resume inside-out
✅ Review basics of DSA, OOP, DBMS, OS
✅ Practice your intro—highlight projects + relevant skills
✅ Do mock interviews with peers or platforms like InterviewBit, Pramp

And if you’re rejected? Don’t stress. Ask for feedback and keep building.

🎯 𝗬𝗼𝘂𝗿 𝗙𝗶𝗿𝘀𝘁 𝗜𝗻𝘁𝗲𝗿𝗻𝘀𝗵𝗶𝗽 = 𝗬𝗼𝘂𝗿 𝗙𝗶𝗿𝘀𝘁 𝗕𝗿𝗲𝗮𝗸𝘁𝗵𝗿𝗼𝘂𝗴𝗵
No one starts perfect. Consistency beats credentials.
Start small, stay curious, and show up every day.

Let me know if you’re just getting started 👇

Web Development Resources ⬇️
https://whatsapp.com/channel/0029Vax4TBY9Bb62pAS3mX32

ENJOY LEARNING 👍👍

#webdevelopment

Roadmap to become a Programmer:

📂 Learn Programming Fundamentals (Logic, Syntax, Flow)
∟📂 Choose a Language (Python / Java / C++)
∟📂 Learn Data Structures & Algorithms
∟📂 Learn Problem Solving (LeetCode / HackerRank)
∟📂 Learn OOPs & Design Patterns
∟📂 Learn Version Control (Git & GitHub)
∟📂 Learn Debugging & Testing
∟📂 Work on Real-World Projects
∟📂 Contribute to Open Source
∟✅ Apply for Job / Internship

React ❤️ for More 💡

Java vs Javascript ✅

When to Use Which Programming Language?

C ➝ OS Development, Embedded Systems, Game Engines
C++ ➝ Game Dev, High-Performance Apps, Finance
Java ➝ Enterprise Apps, Android, Backend
C# ➝ Unity Games, Windows Apps
Python ➝ AI/ML, Data, Automation, Web Dev
JavaScript ➝ Frontend, Full-Stack, Web Games
Golang ➝ Cloud Services, APIs, Networking
Swift ➝ iOS/macOS Apps
Kotlin ➝ Android, Backend
PHP ➝ Web Dev (WordPress, Laravel)
Ruby ➝ Web Dev (Rails), Prototypes
Rust ➝ System Apps, Blockchain, HPC
Lua ➝ Game Scripting (Roblox, WoW)
R ➝ Stats, Data Science, Bioinformatics
SQL ➝ Data Analysis, DB Management
TypeScript ➝ Scalable Web Apps
Node.js ➝ Backend, Real-Time Apps
React ➝ Modern Web UIs
Vue ➝ Lightweight SPAs
Django ➝ AI/ML Backend, Web Dev
Laravel ➝ Full-Stack PHP
Blazor ➝ Web with .NET
Spring Boot ➝ Microservices, Java Enterprise
Ruby on Rails ➝ MVPs, Startups
HTML/CSS ➝ UI/UX, Web Design
Git ➝ Version Control
Linux ➝ Server, Security, DevOps
DevOps ➝ Infra Automation, CI/CD
CI/CD ➝ Testing + Deployment
Docker ➝ Containerization
Kubernetes ➝ Cloud Orchestration
Microservices ➝ Scalable Backends
Selenium ➝ Web Testing
Playwright ➝ Modern Web Automation

Credits: https://whatsapp.com/channel/0029VahiFZQ4o7qN54LTzB17

ENJOY LEARNING 👍👍

🔰 C++ Roadmap for Beginners 2025
├── 🧠 Introduction to C++ & How It Works
├── 🧰 Setting Up Environment (IDE, Compiler)
├── 📝 Basic Syntax & Structure
├── 🔢 Variables, Data Types & Constants
├── ➕ Operators (Arithmetic, Relational, Logical, Bitwise)
├── 🔁 Flow Control (if, else, switch)
├── 🔄 Loops (for, while, do...while)
├── 🧩 Functions (Declaration, Definition, Recursion)
├── 📦 Arrays, Strings & Vectors
├── 🧱 Pointers & References
├── 🧮 Dynamic Memory Allocation (new, delete)
├── 🏗 Structures & Unions
├── 🏛 Object-Oriented Programming (Classes, Objects, Inheritance, Polymorphism)
├── 📂 File Handling in C++
├── ⚠️ Exception Handling
├── 🧠 STL (Standard Template Library - vector, map, set, etc.)
├── 🧪 Mini Projects (Bank System, Student Record, etc.)

Like for the detailed explanation ❤️

#c #programming

SQL Interview Questions

1. How would you find duplicate records in SQL?
2.What are various types of SQL joins?
3.What is a trigger in SQL?
4.What are different DDL,DML commands in SQL?
5.What is difference between Delete, Drop and Truncate?
6.What is difference between Union and Union all?
7.Which command give Unique values?
8. What is the difference between Where and Having Clause?
9.Give the execution of keywords in SQL?
10. What is difference between IN and BETWEEN Operator?
11. What is primary and Foreign key?
12. What is an aggregate Functions?
13. What is the difference between Rank and Dense Rank?
14. List the ACID Properties and explain what they are?
15. What is the difference between % and _ in like operator?
16. What does CTE stands for?
17. What is database?what is DBMS?What is RDMS?
18.What is Alias in SQL?
19. What is Normalisation?Describe various form?
20. How do you sort the results of a query?
21. Explain the types of Window functions?
22. What is limit and offset?
23. What is candidate key?
24. Describe various types of Alter command?
25. What is Cartesian product?

Like this post if you need more content like this ❤️

Best Programming Languages for Hacking:

1. Python
It’s no surprise that Python tops our list. Referred to as the defacto hacking programing language, Python has indeed played a significant role in the writing of hacking scripts, exploits, and malicious programs.

2. C
C is critical language in the Hacking community. Most of the popular operating systems we have today run on a foundation of C language.
C is an excellent resource in reverse engineering of software and applications. These enable hackers to understand the working of a system or an app.

3. Javascript
For quite some time, Javascript(JS) was a client-side scripting language. With the release of Node.js, Javascript now supports backend development. To hackers, this means a broader field of exploitation.

4. PHP
For a long time now, PHP has dominated the backend of most websites and web applications.
If you are into web hacking, then getting your hands on PHP would be of great advantage.

5. C++
Have you ever thought of cracking corporate(paid) software? Here is your answer. The hacker community has significantly implemented C++ programming language to remove trial periods on paid software and even the operating system.

6. SQL
SQL – Standard Query Language. It is a programming language used to organize, add, retrieve, remove, or edit data in a database. A lot of systems store their data in databases such as MySQL, MS SQL, and PostgreSQL.
Using SQL, hackers can perform an attack known as SQL injection, which will enable them to access confidential information.

7. Java
Despite what many may say, a lot of backdoor exploits in systems are written in Java. It has also been used by hackers to perform identity thefts, create botnets, and even perform malicious activities on the client system undetected.

How Coders Can Survive—and Thrive—in a ChatGPT World

Artificial intelligence, particularly generative AI powered by large language models (LLMs), could upend many coders’ livelihoods. But some experts argue that AI won’t replace human programmers—not immediately, at least.

“You will have to worry about people who are using AI replacing you,” says Tanishq Mathew Abraham, a recent Ph.D. in biomedical engineering at the University of California, Davis and the CEO of medical AI research center MedARC.

Here are some tips and techniques for coders to survive and thrive in a generative AI world.

Stick to Basics and Best Practices
While the myriad AI-based coding assistants could help with code completion and code generation, the fundamentals of programming remain: the ability to read and reason about your own and others’ code, and understanding how the code you write fits into a larger system.

Find the Tool That Fits Your Needs
Finding the right AI-based tool is essential. Each tool has its own ways to interact with it, and there are different ways to incorporate each tool into your development workflow—whether that’s automating the creation of unit tests, generating test data, or writing documentation.

Clear and Precise Conversations Are Crucial
When using AI coding assistants, be detailed about what you need and view it as an iterative process. Abraham proposes writing a comment that explains the code you want so the assistant can generate relevant suggestions that meet your requirements.

Be Critical and Understand the Risks
Software engineers should be critical of the outputs of large language models, as they tend to hallucinate and produce inaccurate or incorrect code. “It’s easy to get stuck in a debugging rabbit hole when blindly using AI-generated code, and subtle bugs can be difficult to spot,” Vaithilingam says.