Vishal Jha
16 posts

Vishal Jha
@Pipe2AI
Data AI Engineer | Mastering pipelines to turn raw data into AI breakthroughs | Builder sharing code, tools, & real-world hacks | Learning & growing together.
Присоединился Aralık 2025
59 Подписки4 Подписчики

300 pages of AI Engineering completely free.
This book covers everything you need to build real AI systems.
➡ LLMs and how they actually work
➡ Prompt Engineering techniques
➡ Fine-tuning methods including LoRA
➡ RAG and 8 different RAG architectures
➡ Context Engineering for AI Agents
➡ AI Agents from basics to multi-agent systems
Most people spend months piecing this together.
This book gives it to you in one place.
And the best part?
If you're learning AI Engineering, this is worth saving.
To get it:
1. Follow me (So that I can DM)
2. Like & Repost
3. Reply "AI"
Let’s grow smarter together 🚀


English
Vishal Jha ретвитнул

Complete DSA in 100 days
If you're looking to become Master in DSA This handwritten note will make learning DSA easier.
The handwritten notes include a comprehensive overview of DSA .
You will get:
→ Day to day learning
→ Interview questions
→ Save 300hrs + on Research
→ Complete Roadmap
𝐍𝐨𝐫𝐦𝐚𝐥𝐥𝐲 𝐈𝐭'𝐬 $30 𝐛𝐮𝐭 𝐟𝐨𝐫 𝟐𝟒 𝐡𝐨𝐮𝐫𝐬, 𝐢𝐭'𝐬 𝟏𝟎𝟎% 𝐅𝐑𝐄𝐄!
To get it, just:
1. Like & Reply “DSA“
2. Retweet (much appreciated)
3. Follow me (so that I can DM)

English
Vishal Jha ретвитнул

I have a confession.
I've been working as a Business Analyst for 3 years. I know Excel like the back of my hand. I can build dashboards in my sleep.
And I had absolutely no idea what a Data Pipeline was until 6 months ago.
Now I'm learning Data Engineering. In public. While working a full-time job.
This account is me figuring it out — one concept, one mistake, one small win at a time.
If you're switching careers in tech, upskilling in data, or just curious about AI and where it's all going — stick around.
We're going to learn a lot together.
#LearningInPublic #DataEngineering
English
Vishal Jha ретвитнул
Vishal Jha ретвитнул

100 Python Projects — From Beginner to Expert
Unlock your full potential in Python with 100 practical, real-world projects designed to take you from complete beginner to confident developer. This book is hands-on, structured, and explanation-focused — perfect for students, self-learners, and working professionals who want to learn by building, not just reading.
Whether you're preparing for placements, improving coding logic, or building portfolio-ready projects — this book gives you everything you need.
What’s Inside
Beginner Projects — Learn variables, loops, functions & logic
Intermediate Projects — Work with files, JSON, APIs, GUI apps
Web Apps & Databases — Flask, SQLite, dashboard & CRUD apps
Data Science Projects — Pandas, NumPy, Matplotlib, Exploratory Data Analysis
Automation Tools — Email bots, screenshot tools, website automation
AI & Machine Learning Projects — Chatbot, Sentiment Analyzer, Object Detection & more
Each project includes:
Problem Description
Step-by-Step Explanation
Clean & Understandable Code
Output Examples
Who This Is For
UserBenefitStudentsBuild strong coding fundamentals & prepare for exams/placementsProfessionalsAutomate workflows & build internal toolsSelf-LearnersLearn Python the practical wayTeachers/MentorsReady-made project references for classes
Bonus
✔ Editable source code
✔ Ready-to-use explanation for each project
✔ Portfolio + Resume enhancement guide
Files Included
PDF / EPUB / Printable Format
Source Code Files
Cover Graphics for Presentation & Sharing
Why This Book Works
You aren’t just reading code.
You’re building real projects — and building confidence with every chapter.
This is the book most people wish they had when beginning Python.
Start your Python journey today.
Build projects. Build confidence. Build your future.
pythonclcoding.gumroad.com/l/100PythonPro…

English

@gvanrossum @elonmusk they probably use Python to slow down the rocket when it's coming back to earth 😅
English
Hey @elonmusk, does SpaceX use Python, and for what? How extensively?
English

🐦 Day 1: The "Magic" is just Math
I always thought ChatGPT was "thinking." Today I realized it’s just fancy autocomplete.
Day 1 of my AI Engineering roadmap, and I’m already humbled.
I watched 3Blue1Brown’s breakdown of LLMs, and the magic vanished. It’s not a brain. It’s a probability engine.
It reads "The sky is..." and calculates:
🟦 Blue: 90% ⬜️ Cloudy: 5% 🟩 Green: 0.1%
It rolls the dice and picks "Blue." That’s it.
Why does this matter for a non-coder like me?
Because if I treat AI like a human, I get frustrated when it lies. If I treat it like a math equation, I can manipulate it.
I’m moving from "Talking to AI" ➡️ "Engineering AI."
1 year. 12 hours a week. From Business Analyst to AI Engineer.
Let’s build. 🧱
#AI #DataEngineering #100DaysOfCode #LearningJourney
English

✨ Stop wasting time googling, start reading the right books.
🚀 Dear Aspiring Data Engineer,
Want to get ahead in your Data Engineering journey?
I’ve curated a list of must-read books 📚 that will fast-track your growth.
To get it:
1️⃣ Follow me (so I can DM you)
2️⃣ Like & Retweet
3️⃣ Reply with “DE”


English

@garyfung AI won't replace developers. Developers using AI will replace developers not using AI.
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