Don’t overthink it. • Build a Calculator to master logic & loops • Build a Weather App using live APIs • Build a CRUD Web App with Flask + DB • Build a Chatbot UI with Streamlit + GPT • Build a File Organizer with os & shutil • Build a Resume Parser using NLP • Build a

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5 mistakes every AWS beginner makes ☁️💥 1️⃣ Learning 200+ services instead of mastering 5 2️⃣ Using root account for everything 3️⃣ Ignoring billing alerts (hello surprise bills 💸) 4️⃣ Skipping hands-on labs — just watching tutorials 5️⃣ Forgetting to delete test resources 🎯 AWS

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Don’t overthink it. • Host a static site on S3 • Deploy a serverless API with Lambda • Build a chatbot using Lex • Set billing alerts in CloudWatch • Store files securely in S3 • Automate tasks with Step Functions • Secure access with IAM roles The best way to learn AWS?

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Cloud Computing Learning Path (Beginner → Pro) ☁️🚀 1️⃣ Foundations → what is cloud, IaaS vs PaaS vs SaaS 2️⃣ Core Services → compute, storage, networking, databases 3️⃣ Major Providers → AWS, Azure, GCP (start with one) 4️⃣ Hands-On Labs → deploy EC2, store data in S3, set IAM

☁️ AWS: Zero → Hero No fancy words — just the path that actually works 👇 1️⃣ Start with basics → what is cloud, regions, services 2️⃣ Learn core 4 → EC2, S3, IAM, VPC 3️⃣ Get hands-on → build free-tier projects 4️⃣ Understand architecture → how services connect 5️⃣ Study for

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Want to learn AWS without the 10-hour tutorials? Start with these: • EC2 – run your code • S3 – store files • Lambda – run code on triggers • IAM – lock it all down These 4 services & you are at right track!! Master these → Build → Earn

Day 1/7 ☁️ Which AWS service helps you track API activity and user actions across your account? Vote below 👇 Answer + explanation tomorrow.

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🐍 The Python journey be like: Day 1: print("Hello World") Day 15: “Why won’t my loop stop looping?” Day 45: “Okay, I finally get functions.” Day 75: “Built a mini project, broke it immediately.” Day 120: “Now teaching others how not to indent.”

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🐍 Python Libraries in Plain English 🧠 Libraries = prebuilt superpowers for your code ⚡ Why reinvent the wheel when someone’s already built the engine? Top picks 👇 🧮 NumPy → Math & arrays made easy 📊 Pandas → Data analysis in 3 lines 🌐 Requests → Call APIs like a pro

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8. Real Use Cases S3 powers almost everything on AWS: → Static website hosting → Data lakes → Backups & disaster recovery → ML training datasets → Logging & analytics pipelines It’s literally AWS’s universal data layer.

7. S3 Triggers and Integrations S3 isn’t just storage — it’s event-driven. You can trigger: → Lambda functions (on file upload) → SNS notifications → SQS queues That’s how you build serverless pipelines — fully automated data flows.

6. Security & Access Control S3 integrates deeply with IAM and bucket policies. ✅ Private by default ✅ Fine-grained access with roles ✅ Block public access (always enable it unless needed) ✅ Encryption: SSE-S3, SSE-KMS Never skip security — misconfigured buckets are the #1

5. Versioning & Lifecycle Management → Versioning keeps old copies of files — perfect for rollback or recovery. → Lifecycle policies can auto-move files from Standard → Glacier → delete. Automation = cost optimization.

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