Notes on HDFS, MapReduce, YARN, Hadoop vs. traditional systems and much more... from Columbia University.

Web Security Fundamentals

This course teaches you how to find and fix security vulnerabilities in web applications. It dives into common attack vectors like XSS, CSRF, SQL injection, and authentication bypasses, with hands-on exercises in secure coding practices.
Prerequisite: Basic knowledge of web technologies (HTML, JavaScript, HTTP).


📚 Reading Materials + Assignments + Written Exams (All Organized in order)
🏃‍♂️ Self Paced
Created by 👨‍🏫: Stanford

🔗 Course Link

#Security #Web
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🔥 In just 15 minutes, our next Giveaway Quiz goes live!

🎯 Topic: SQL
🎁 Prize: 319 premium Udemy courses (with certificates) - completely FREE! This is our biggest bundle ever!

🏆 How to win:

* Be among the first 5 to finish and comment “done” under the quiz
* Or rank in the Top 10 on the overall leaderboard

Get ready! Knowledge and rewards are waiting! 🚀

🚀 READY... SET... GO!

The SQL Giveaway Quiz is officially LIVE! 🎉

http://www.tgoop.com/QuizBot?start=oIQUhyNs

Remember, fastest 5 and highest ranked 10 will get the prize 🎁

⏰ The 24 hours are up, and our Top 10 champions are in! 🏆

🥇 Vikas Maheshwari – 10 (47 sec)
🥈 Nasim Sarder – 10 (1 min 14 sec)
🥉 @Abeni7D – 10 (1 min 36 sec)
4. 🎈 – 10 (4 min 27 sec)
5. S – 9 (54.5 sec)
6. @mysqls – 9 (1 min 15 sec)
7. @xxtt101 – 9 (1 min 21 sec)
8. @jantonioalvaguer – 9 (1 min 33 sec)
9. @Krishna_G101 – 9 (1 min 35 sec)
10. @brij_iitian – 9 (1 min 32 sec)

Everyone on the list will receive prize within 5 minutes 🎁
If you haven't received your prize, please send me a DM 👉 @mldatascientist.
Big congrats to all the winners - you crushed it! 🚀

Applied Causal Inference

This course teaches you how to go beyond correlation to determine the true cause-and-effect relationships in your data. It dives into causal graphs, potential outcomes, instrumental variables, and difference-in-differences methods used in industry and tech. Prerequisite: Basic probability, statistics, and Python for data analysis.


🎬 Free Video Lessons
⏰ Duration: 28 hours
🏃‍♂️ Self Paced
Created by 👨‍🏫: Brady Neal

🔗 Course Link

#CasualInference #CasualGraphs #DataAnalysis
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FREE Courses On Python Asyncio

Advanced asyncio: Solving Real-World Production Problems
🆓 Free Video Course
⏰ Duration: 41 Min
🏃‍♂️ Self paced
📊 Difficulty: Advanced
👨‍🏫 Created by: PyVideo
🔗 Course Link

Async IO Basics
🆓 Free Online Course
⏰ Duration: ~22 minutes
🏃‍♂️ Self paced
📊 Difficulty: Beginner
👨‍🏫 Created by: Very Academy
🔗 Course Link

Asyncio in Python - Full Tutorial
🆓 Free Video Course
⏰ Duration: 25 Min
🏃‍♂️ Self paced
📊 Difficulty: Beginner
👨‍🏫 Created by: Tech with Tim
🔗 Course Link

Asyncio Basics - Asynchronous programming with coroutines
🆓 Step-by-step text + video
⏰ Duration: 25 Min
🏃‍♂️ Self paced
📊 Difficulty: Beginner - Intermediate
👨‍🏫Created by: Python Programming Tutorials
🔗 Course Link


Reading Materials

📖 Python's Ayncio
📖 Asyncio Tutorial for Beginners
📖 Python Asyncio: The Complete Guide
📖 Official Asyncio Docs
📖 Asyncio Learning Path


#python  #asyncio
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This Pdf covers covers Adanced SQL topics covering subqueries, set operations, GROUP BY, HAVING, and recursive queries.

🚀 Top Free Platforms to Deploy Your Code


1️⃣ Vercel
Perfect for Next.js and modern front-end apps. Fast, simple, global deployments.
✨ Ideal for portfolios, SaaS frontends, dashboards.

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Great for static sites and JAMstack apps. Continuous deployment from Git.
⚡️ Quick to set up and beginner-friendly.

3️⃣ GitHub Pages
Free hosting for static websites directly from your GitHub repo.
📘 Perfect for docs, portfolios, personal sites.

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Blazing fast hosting for static and dynamic content. Backed by Google.
🔥 Great for PWAs, landing pages, dashboards.

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Ridiculously simple static site publishing from the command line.
⏱️ Deploy in seconds.

6️⃣ Render
A strong Heroku alternative with a real free tier for web services, static sites and databases.
🟣 Great for hobby apps and small backends.

7️⃣ Fly.io
Run lightweight apps and containers close to your users. Free allowances available.
✈️ Good for small APIs and distributed apps.

8️⃣ Railway
Modern, developer-friendly platform with a free tier powered by usage credits.
🚂 Perfect for quick prototypes and full-stack experiments.

Data Science for Beginners - A Curriculum

In this course series, students will learn the basic principles of data science, including ethical concepts, data preparation, different ways of working with data, data visualization, data analysis, real-world use cases of data science, and more. Each lesson includes pre-lesson and post-lesson quizzes, written instructions to complete the lesson, a solution, and an assignment.

📚 20-lesson curriculum
⏰ Duration: 10-week
🏃‍♂️ Self Paced
Created by 👨‍🏫: Microsoft

🔗 Course Link

#DataScience #DataAnalysis #DataVisualization #Beginners
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Concise reference compiled from Stack Overflow Q&A covering syntax, OOP, modules, error handling, and advanced topics like decorators.

The Big Data bible from Stanford: MapReduce, Spark, recommendation systems, PageRank, locality-sensitive hashing, Large scale machine learning and mining social networks/streams all explained clearly with real algorithms you can code today. 500 pages of pure gold.

Machine Learning Crash Course - Google

This free, open-source course introduces ML basics: regression, classification, neural networks, data prep, and model evaluation using TensorFlow. Interactive exercises, videos, and labs build practical skills. No coding prerequisites, but Python encouraged for advanced modules.

📚 25+ hours of videos, exercises, and labs
⏰ Duration: 15 hours
🏃‍♂️ Self Paced
Created by 👨‍🏫: Google Developers
🔗 Course Link


#MachineLearning #AI #Google
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Cryptographic Engineering

This is a collection of cryptographic challenges all organized in order to teach you cryptography by breaking progressively harder cryptographic implementations.
Prerequisite? You only need Programming skills and mathematical maturity.

🔗 Link

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Covers Spark for ML, graph processing (GraphFrames), and integration with Hadoop from Stanford University.

🚨BREAKING: OpenAI to Drop GPT-5.2 on December 9

OpenAI is rushing GPT-5.2 live as early as next Tuesday, December 9, 2025, weeks ahead of schedule.

This is a direct “code red” counter to Google’s Gemini 3, which just beat GPT-5.1 on most benchmarks. Sam Altman declared internal emergency, halted all side projects (ads, agents, Pulse), and redirected every engineer to ChatGPT.

GPT-5.2 brings:
🆕 Faster responses
🆕 Fewer hallucinations
🆕 Better reasoning and code

No new big features, just raw performance to retake the crown from Gemini.

Rollout starts with ChatGPT and API; free tier included. Expect heavy server load on launch day.

🔥 The AI race is heating up.

Open Source Machine Learning - OpenDataScience

An open ML course balancing theory and practice: exploratory analysis, feature engineering, supervised/unsupervised models, ensembles, and time series. Kaggle-style assignments and Jupyter notebooks foster hands-on skills in heterogeneous data (text/images/geo).

📚 30+ lessons with videos, articles, and Kaggle tasks
⏰ Duration: 6 months
🏃‍♂️ Self Paced
Created by 👨‍🏫: OpenDataScience (Yury Kashnitsky)
🔗 Course Link


#MachineLearning #DataScience #Kaggle #OpenSource
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A comprehensive introduction to programming and computer science in Python covering: binary systems, algorithms, data structures, and problem-solving. From University of Vermont.

Haskell MOOC - University of Helsinki (Fully Open Source)

This is a beginner-to-intermediate text/video course on Haskell, starting with pure functions, types, and recursion, advancing to monads, I/O, and real apps. Why take it? It teaches you lazy evaluation and type safety for bug-free code; its great for math/logic enthusiasts. There are no prerequisites to take this course. and its completely FREE.

📚 2 parts with lessons, interactive exercises and community forum
⏰ Duration: 6-8 weeks
🏃‍♂️ Self Paced
Created by 👨‍🏫: University of Helsinki
🔗 Course Link


#Haskell #FunctionalProgramming #UniversityofHelsinki
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This is our latest post from Instagram, saved as PDF.

Here's our Instagram post: Machine Learning Vs Deep Learning