to be honest, the hardest part of coding is naming stuff. 80% of your deployment issues come from 20% of your code changes. Focus automation and monitoring on those risky areas first.

Time is not refundable; use it with intention. Good morning, everyone🌞

I don’t know who needs to read this but your story isn’t over just because you’re in a dark chapter.

💻 Mastering Linux isn’t about memorizing commands. It’s about knowing when and why to use them. Start simple: 🔹 ls → list files 🔹 cd → move around 🔹 grep → search like a pro 🔹 chmod → control access 🔹 top → see what’s running Small steps → Big power. 🐧

You don’t need to be a data scientist to use AWS AI tools. Here’s what you can build: • Text-to-speech app (Polly) • Face detection (Rekognition) • Smart chatbot (Lex + Lambda) Learn AWS AI services inside one beginner-friendly guide.

Cool project idea you should try: Build an app that: → Scans a PDF → Extracts text using Textract → Converts it to speech using Polly All with AWS + Python. Don’t overthink it. Just start.

Cybersecurity with Python Roadmap 🔐 📂 Python Basics ∟📂 Networking (Sockets, Scapy)  ∟📂 Linux & Bash Fundamentals   ∟📂 Cryptography (Hashing, Encryption)    ∟📂 Web Security (Requests, BeautifulSoup)     ∟📂 Exploitation & Pentesting (Nmap, Metasploit, Python Scripts)

📌 Problem: Server is slow, you need to find what’s hogging resources. 💡 Quick Solution: Use top / htop / ps to find and kill processes.

life is too short to think about the perfect variable name. let's keep things simple, just name every variable a1, a2, a3 and so on... let the QA and other devs have some adventures in their life...

Linux folks, what advice would you give to a first-time Linux user?

|￣￣￣￣￣￣￣￣￣￣￣￣￣￣| | We ❤️ Linux🐧 | |＿＿＿＿＿＿＿＿＿＿＿＿＿＿| \ (•◡•) / \ / —— | | |_ |_

Can you relate?

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Most in-demand tech jobs for 2026: – AI/ML Engineer – Cybersecurity Analyst – Cloud Engineer – Data Scientist – Blockchain Developer – Quantum Computing Engineer

does the process even know we are trusting it?

unpopular opinion: finishing one project is way better than starting ten.

What's your go-to code editor for personal projects?

WINDOWS 11 IS COLLECTING ALL YOUR DATA TROUGH TELEMETRY ✔️ Every app you open. ✔️ Every click you make. ✔️ Don’t let Microsoft own your life. Switch to Linux.

AWS in plain English: • EC2 → computer • S3 → storage • RDS → database • IAM → security guard • Lambda → automation That’s 80% of what you’ll use daily...

Content doesn’t need perfection. It needs momentum. ↳ Draft fast with AI ↳ Hit publish without fear ↳ Gather real reactions ↳ Get better post by post Cycle: action → feedback → mastery. Trap: perfection → delay → invisibility.

AWS Networking Quick Breakdown 🌐 AWS VPC essentials: •VPC → Your private cloud. •Subnets → Public vs Private. •Route Tables → Control traffic. •NACLs & Security Groups → Firewalls.

You’re using ChatGPT, Do you know what that “GPT” even means 😂? G ~ Generative ➟ output new sequences of text P ~ Pre-trained ➟ foundation model T ~ Transform ➟ neural network architecture sequence model

⚡ AI & Productivity AI won’t replace you. But someone using AI effectively will. Learn → Adapt → Automate.

Just like physical security people need cybersecurity CCTV → Firewalls Home alarm → Antivirus Home defense → Incident response Get into the field Plant your seed and nurture it 🌱 Ignore the hype about “fast money” The oak tree takes time to grow but its wood is strong and roots run deep🌳

🐧 Linux Roadmap for Beginners → Pro 1️⃣ Basics: files, users, permissions, packages 2️⃣ Daily Ops: processes, networking, shell scripting 3️⃣ SysAdmin: services, logs, SSH, firewall 4️⃣ Security: SELinux, hardening, auditing 5️⃣ Advanced: bash, kernel, containers, automation

Azure in plain English: VMs → computer Blob Storage → storage SQL Database → database Azure AD → security guard Functions → automation 👉 That’s 80% of what you’ll use daily.

5 AWS CLI Commands to Know ⌨️☁️ 1. aws s3 ls → list S3 buckets 2. aws ec2 describe-instances → see running servers 3. aws iam list-users → check IAM users 4. aws cloudwatch list-metrics → view monitoring data 5. aws configure → set up credentials 📌 Master CLI → faster & more powerful AWS skills.

Programming Languages You Should Definitely Learn in 2025: 1. 🐍 Python 2. 🌐 JavaScript / TypeScript 3. ⚡ Rust 4. ☁️ Go (Golang) 5. 📊 SQL

How to use Nano like a pro: $ alias nano="vim"

Which Linux Distribution do you use?

Different Entry Points in AWS ➜ AWS API Gateway ➜ AWS VPN Gateway ➜ AWS Transit Gateway ➜ AWS Application Load Balancer ➜ AWS Network Load Balancer ➜ AWS Internet Gateway ➜ AWS NAT Gateway ➜ AWS Direct Connect

Help desk isn’t a trap unless you stay too long. It’s $55K to start → $75K sysadmin → $100K+ cloud. Step one is just getting in the door.

AWS in plain English: • EC2 → computer • S3 → storage • RDS → database • IAM → security guard • Lambda → automation That’s 80% of what you’ll use daily...

No programmer ever regretted learning fundamentals.

⚖️ AWS ELB in 60 Seconds ELB = traffic manager for your AWS apps. It distributes requests across multiple servers so nothing crashes. Types of ELB: ALB (Application LB) → Best for web apps, works at HTTP/HTTPS layer NLB (Network LB) → Super-fast, handles millions of requests/sec

5 AWS Mistakes Beginners Make ☁️❌ 1. Leaving EC2 instances running → surprise bills. 2. Using root account for daily tasks. 3. Skipping IAM policies & security basics. 4. Ignoring billing alarms. 5. Trying to learn 200+ services at once. Master the basics first → scale later.

Better grind your DSA 🤲🏽😁 If these US companies are gonna outsource many jobs as predicted

Roadmap to become a Web Developer: 📂 Learn HTML & CSS ∟📂 Learn JavaScript ∟📂 Learn Git & GitHub ∟📂 Learn Responsive Design ∟📂 Learn Frontend Frameworks (React / Vue) ∟📂 Learn Backend (Node.js / Express)

You're not behind in life. You're being prepared for something so magnificent that your current struggles will make perfect sense. Divine timing is never late. ✨️

the reason typescript exists.

From AWS overwhelm → mastering IAM in 2 weeks ☁️🔑 Problem: Couldn’t understand permissions — everything felt like trial & error. Fix: Focused on IAM roles, groups, and least-privilege policies with small labs.

From Python basics → analyzing real data in 3 weeks 🐍📊 Problem: Could write loops & functions, but froze when handling datasets. Fix: Learned pandas step by step, cleaned messy CSVs, and visualized results with matplotlib.

5 Python Habits to Build Early 🐍✨ 1. Write code daily, even if it’s tiny. 2. Use virtualenv to manage dependencies. 3. Push every project to GitHub. 4. Keep functions small & reusable. 5. Document fixes in a “bug log.” 📌 Good habits compound into great skills.

LINUX TIPS fzf - fuzzy find files delta - better file diff with side by side view options z - magical directory navigation dust - better du ouch - single tool for compress/uncompress all formats like zip, gz, 7z, tar fd - better find (skips gitignored files) Kubetail - k8 logs

Python Roadmap (Beginner → Projects) 1. Variables & loops 2. Functions & OOP 3. APIs with requests 4. Databases with SQL 5. Flask apps 6. Deploy to cloud 6 steps → job-ready Python dev.

7 Python Projects Every Beginner Should Build • Calculator → practice logic & loops • To-Do List App → file handling basics • Weather App → work with APIs • Expense Tracker → Tkinter GUI • CRUD Web App → Flask + Database • Resume Parser → NLP practice • Job Tracker → Selenium automation

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