Learning & Reference Hub

Data, Big Data, AI & Database resources in one place.

A unified collection of revision notes, interactive references, practical exercises, database guides and technical learning material — hosted as a single GitHub Pages site.

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Projects & learning modules

Ten standalone modules, presented through one unified site.

Python · R

Python & R Revision

Reference material and revision content for Python and R programming fundamentals.

Open module →python-and-r-revision-/
 Database Testing

DBT Revision

Database testing and DBT-focused revision material packaged as a browsable reference.

Open module →DBT--Revision/
 Artificial Intelligence

AI For All

An interactive AI learning resource designed for broad exploration of AI topics.

Open module →AI-For-ALL/
 Linux

Linux Reference

Interactive Linux concepts, commands, system topics and hands-on reference material.

Open module →linux/
 Cloud Computing

Cloud Capsule

A compact cloud-computing reference presented as a static, browsable learning site.

Open module →cloud-capsule/
 HPC

HPC MCQ

Interactive multiple-choice revision content focused on high-performance computing.

Open module →HPC-MCQ/
 MongoDB

MongoDB Learning Hub

MongoDB concepts, CRUD, aggregation, indexing, replication, sharding, design and practice.

Open module →mongo/
 Apache Cassandra

MyPhatshala Cassandra

A large Cassandra reference covering architecture, CQL, modeling, consistency and operations.

Open module →MyPhatshala-Cassandra/
 Cloud Revision

Cloud Revision

Quick revision material covering core cloud concepts in a browsable single-page format.

Open module →Cloud-Revision/
 R Language

R Language

R-language learning and reference content for statistics and data-oriented programming.

Open module →R-language/

Topics covered

The hub is organized around the technologies used across the modules.

Python
R
SQL / DBT
MongoDB
Cassandra
Linux
Cloud
HPC
AI / ML
Data Engineering
Distributed Systems
System Design
Hosting note: Each module lives in its own folder so its internal assets and relative links can be preserved. The homepage is only the entry point; the learning modules remain independently browsable beneath the same domain.