16 Days of my new SQL Superstar Free program are released. Day 1: MySQL Installation & SQL Basics Explained lnkd.in/gMci4TiY Day 2: Create Your First Database & Tables lnkd.in/gaPGi4NY Day 3: Master INSERT, SELECT & Data Import in SQL lnkd.in/gCzQWsWx Day

Career Mapping Exercise: – Go to LinkedIn – Search for the job you want (e.g. “Data Analyst” or “Project Manager”) – Look at 5 people with that title – Study their path: education, first job, certifications – Reverse engineer your roadmap – Make a 12-month Notion plan You don’t

design engineering : living notes & links 𓂃✍︎

Text Animation on Gemini Nano Banana 3.0 Prompt: { "image_generation_task": { "task_type": "img2img", "input_source": "uploaded_user_image", "constraint": "preserve_full_likeness", "base_configuration": { "medium": { "substrate": "lined

Machine learning Algorithms

AI agents staircase 📘📚

Show me your app, website or project and I’ll share my honest thoughts👇

UI/UX Designers, you can now create unlimited animated gradient videos without paying a single cent. I just found this website called Krumzi, a simple but powerful animated background generator that lets you create smooth, eye-catching gradient videos for free. Perfect for

Database Types 📚📘

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Gue sekarang mau praktik langsung yaa tentang cheat interview pake STAR METHOD: S – Situation Context singkat aja, ceritain lo kerja dimana, jabatan lo apa, di kerjaan lama lo, fokusnya diminta apa? “Misal saya jadi head of sales di company abc, posisinya waktu itu, Tim sales

amal jariyah detected

sql ↓ python ↓ data structures (for data, not leetcode) ↓ linux & bash ↓ git & github ↓ relational databases (postgres / mysql) ↓ data modeling (oltp vs olap) ↓ etl / elt concepts ↓ apache spark ↓ batch processing ↓ streaming (kafka) ↓ data warehouses (snowflake /

Hey Go try out - papercode.in

Y Combinator is honestly one of the best platforms to find startup jobs, internships & WFH roles across domains I’ve seen a lot of hiring for AI/ML roles here lately Definitely worth checking out

Introducing Tensortonic research > Implement ML papers in cloud-native IDEs > Breakdown of all papers to architecture, math, and code > State-of-the-art papers like Transformers, BERT, ViT, DDPM, VAE, GANs and many more

I Reviewed Hundreds of PySpark Pipelines. Most Make the Same Mistakes ⬇️ Most people use PySpark. Very few write it like professionals. If your Spark code works but feels slow, messy, or scary to maintain, this is usually why. Here’s what pros do differently 👇 1️⃣ They think

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