Vanguetta

Info loker dari Blibli, ada 114 posisi permanent yang sedang dibuka. cek di web: https://careers.blibli,com/jobs?companyCodes=GDN&employmentTypes=Permanent

Building a Real-Time Data Streaming Pipeline using Kafka, Flink and Postgres youtube.com/watch?v=0BP09U…

FREE Claude Code 2 Hour Course- youtube.com/playlist?list=…

Banyak orang gagal interview, bukan karena ga kompeten. Tapi karena ga siap jawab pertanyaan yang itu-itu lagi. Gw kumpulin template cheatsheet pertanyaan yang paling sering ditanya recruiter. Isinya list pertanyaan interview yang hampir selalu muncul di berbagai role. Bisa dipakai buat latihan jawab sebelum interview, jadi lo ga blank di tempat. docs.google.com/spreadsheets/d… download di sini yaa Bantu likes dan repost ya!

End to End Data Analytics Project (Python + SQL) In this tutorial, we will do an end to end data analytics project using python and SQL. We will use Kaggle API to download the dataset and to data processing and cleaning using pandas and load the data into sql server. Lastly we will answer some interesting questions using SQL. youtube.com/watch?v=uL0-6k…

@ohnanaps @worksfess Kalo boleh tau, kerja apa kak?

@worksfess aku it tp ga mau ngoding lg nder wkkw FG jg sih dan alhamdulillah dh kerja non coding tp masi it ehehe

wrk! aku freshgrad IT umur 23 tapi ngerasa skill coding belum mumpuni dan percaya diri buat lamar full time. Kira-kira kalau ambil intern lagi buat nambah experience dan skill ok engga ya?

A Russian guy has discovered a method to learn anything ten times faster using AI! It involves NotebookLM, Gemini and Obsidian.

20 websites that will make you a better developer most devs only know GitHub and Stack Overflow but there are mass of websites that can mass-upgrade your skills for $0 Here's the full list: 1. learn to code properly: - freecodecamp.org (full curriculums from HTML to machine learning, completely free) - theodinproject.com (project-based learning, one of the best for web dev) - exercism.org (mentored coding practice in 70+ languages) - codecademy.com (interactive courses, great for beginners) 2. practice & problem solving: - leetcode.com (the standard for coding interviews and algorithmic thinking) - codewars.com (gamified challenges, you learn patterns fast) - hackerrank.com (real company interview questions) - projecteuler.net (math + programming problems that actually make you think differently) 3. read real code & docs: - devdocs.io (every documentation in one searchable place) - github.com/explore (study open-source projects from the best engineers) - refactoring.guru (design patterns explained with real examples and visuals) - developer.mozilla.org (the bible for web development, better than any course) 4. build & deploy: - replit.com (code, run, and deploy from your browser in seconds) - glitch.com (build and remix real apps instantly) - vercel.com (deploy projects live with one click, perfect for portfolio) - railway.app (backend deployment without DevOps pain) 5. stay sharp & up to date: - daily.dev (personalized dev news feed, replaces doomscrolling) - news.ycombinator.com (where the smartest builders share what they're reading) - dev.to (community articles from real developers) - roadmap.sh (visual roadmaps for any developer path you want to follow) the difference between a junior and a senior is not years of experience it's how many of these resources you actually use consistently [ BOOKMARK ]

@theflankerID Ini dikandang siapa dulu mainnya?

Tinggal 8 tim lagi. Sulit susah nebak bagan kiri, terutama Madrid vs Bayern 🔥. Bagan kanan juga menarik untuk melihat apakah Sporting bisa mengejutkan Arsenal + apakah Atleti mampu mengulangi hasil Copa del Rey. Prediksi semifinal?

PYTHON was never this EASY to understand!!

> Disappear for 6–8 months and Crack Agentic AI Roles. Here is how you can do it in 6 steps: Step 1 (2–3 Weeks) → Programming Foundations → Python Fundamentals → APIs & HTTP Requests → Async Programming → JSON / Data Handling → Writing Modular & Clean Code Step 2 (3–4 Weeks) → LLM Fundamentals → How LLMs Work (Tokens, Context Window) → Prompt Engineering → Function Calling → Structured Outputs (JSON Mode) → Evaluating LLM Responses Step 3 (4–5 Weeks) → Retrieval Systems (RAG) → Embeddings & Vector Databases → Chunking & Indexing → Semantic Search → Retrieval-Augmented Generation (RAG) → Handling Large Knowledge Bases Step 4 (4–5 Weeks) → Agent Frameworks → Agentic Workflows → Tools & Function Calling → Memory Systems → Multi-step Reasoning → Frameworks (LangChain / LlamaIndex / CrewAI) Step 5 (5–6 Weeks) → Building AI Agents → Tool-Using Agents → Multi-Agent Systems → Planning & Task Decomposition → Autonomous Workflows → Human-in-the-Loop Systems Step 6 (4–5 Weeks) → Production & Deployment → Model APIs (OpenAI / Anthropic / Open Source) → Vector Databases (Pinecone / Weaviate / Chroma) → Observability & Evaluation → Guardrails & Safety → Deploying Agents in Production Learn the systems. Build agents. Ship real workflows. #AgenticAI #AIAgents #LLM #GenAI #ArtificialIntelligence

HOW TO INTRODUCE YOURSELF IN A JOB INTERVIEW In a job interview, your self-introduction should be clear, confident, and relevant to the position. Here’s a basic structure to follow: 1) Greet and thank the interviewer: “Good morning, and thank you for the opportunity to be here.” 2) State your name and current role or status: “My name is [Your Name], and I’m currently a [Your Current Job Title] at [Company Name]” Or, “I recently graduated with a degree in [Your Major] from [University Name].” 3). Give a quick professional background: “I have [X] years of experience in [Your Industry or Field], where I’ve focused on [Key Skills or Responsibilities].” 4) Highlight key achievements or strengths: “In my previous role, I led a project that [Brief Achievement], which helped improve [Result].” 5) Explain your interest in the role: I’m really excited about this opportunity because it aligns with my passion for [Field/Skill] and I see it as a great chance to grow and contribute to your team

Data Science and Data Engineering may sound similar, but they play very different roles in the data world. Think of it this way: Data Engineers prepare and deliver the data, while Data Scientists analyze and transform it into predictions. Both are essential for driving data-driven decision-making in today’s world.

Hy moots... Mimin baru sadar sesuatu setelah lihat CV orang yang tembus top-tier company 👀 Ternyata problem kita bukan “kurang pengalaman”, tapi cara nulisnya salah. Lo nulis CV kayak lagi cerita kegiatan : “Bertanggung jawab atas…” “Membantu tim dalam…” Kedengeran sibuk, tapi gak kedengeran impactful. CV itu bukan catatan harian. Itu alat jualan diri. 🧠💼 Mimin kasih tips bikin struktur CV yang bener, berdasarkan CVnya Jonathan Javier (Product ops-snapchat) 👇

This drive will teach you Business Analysis, Data Analytics, and Project Management for free: drive.google.com/drive/u/0/fold… Save it before it gets lost!

Banyak orang gagal interview, bukan karena ga kompeten. Tapi karena ga siap jawab pertanyaan yang itu-itu lagi. Gw kumpulin cheatsheet pertanyaan yang paling sering ditanya recruiter. Isinya list pertanyaan interview yang hampir selalu muncul di berbagai role. Bisa dipakai buat latihan jawab sebelum interview, jadi lo ga blank di tempat. docs.google.com/spreadsheets/d… download di sini yaa Bantu likes dan repost ya!

Kalau mau ngejar role ini tapi belum punya semua skill-nya, ini roadmap 30 hari yang bisa dicoba gratis: • SQL: Mode Analytics (free), langsung praktek di real dataset • Looker Studio: tutorial resmi Google, connect ke Google Sheets dulu • Power BI: Microsoft Learn path (free), ada sertifikasinya juga Fokus 1-2 jam/hari, 30 hari cukup buat portofolio dasar yang bisa ditunjukin pas interview.

"Kenapa kami harus hire kamu?" Ini salah satu pertanyaan paling penting di interview tapi pertanyaan ini udah bikin ribuan kandidat gagal karena jawabnya kayak robot. Ini yang sebenernya mereka mau dengar:

In this Tutorial, we will cover how to automate your Python ETL (Extract, Transform, Load) with Apache Airflow. In this session, we will use the TaskFlow API introduced in Airflow 2.0... youtube.com/watch?v=eZfD6x…

In this tutorial, you will be building a real-time data streaming pipeline, covering each phase from data ingestion to processing and finally storage. We'll utilize a powerful stack of tools and technologies, including Apache Airflow, Python, Apache Kafka, Apache Zookeeper, Apache Spark, and Cassandra—all neatly containerized using Docker. youtube.com/watch?v=GqAcTr…