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DSA Atlas is a comprehensive repository forData Structures, Algorithms, Aptitude, Machine Learning, SQL, Data Science, and Interview Preparation resources. It aims to serve as acentralized learning and practice platform for students, professionals, and interview candidates preparing for technical assessments and coding interviews.

The repository is designed to bemodular and scalable, containing curated resources, practice problems, notes, scripts, and study material.

• DSA Atlas
  • Table of Contents
  • Overview
  • Features
    • Repository Features
    • Website Features
  • Folder Structure
  • Getting Started
    • Prerequisites
    • Clone the Repository
    • Running Locally
  • Deployment
  • Contributing
  • License
• DSA Atlas - A complete map for interview prep.

This project consolidates multiple domains relevant tocomputer science education and interview preparation into a single hub. Whether you are looking foralgorithm practice, SQL concepts, machine learning resources, or curated interview questions, this repository provides structured access to everything in one place.

• ComprehensiveDSA practice problems organized by topic and company.
• Aptitude materials for competitive exams and placement tests.
• Curatedinterview tips and questionnaires to aid in preparation.
• Rich collection ofmachine learning, deep learning, and data science resources.
• Scripts and utilities forautomation, refactoring, and data processing.
• Centralizedstudy notes and PDF resources for quick revision.

The deployed website (via Netlify) provides structured navigation through curated pages:

• /pages/companies — List ofCompany-Wise DSA Questions.
• /pages/ds-algo — List ofPopular Data Structures and Algorithms.
• /pages/resources — List ofResources for Placement and DSA Journey.
• /pages/sheet — List ofCurated LeetCode Problems.
• /pages/blogs — List ofBlogs on technical and interview-related topics.

dsa_atlas├─ .git/                        # Git metadata (repo history & config)├─ .gitignore                   # Files/paths excluded from version control├─ CONTRIBUTING.md              # Contribution guidelines├─ LICENSE.md                   # Project license text├─ README.md                    # Project overview and usage notes├─ index.html                   # Main site homepage (static)├─ Aptitude/                    # Aptitude PDFs and study material├─ assets/                      # UI assets (SVG, cursor images, old files)├─ blogs/                       # Blog posts and related content├─ CS Notes for Interviews and Placement/ # Curated interview notes and PDFs├─ css/                         # Project CSS files for site styling├─ data/                        # Raw data files (CSV/JSON/etc.)├─ Data Analytics - Data Scientist/ # Data science resources and PDFs├─ Data Structures and Algorithms/ # DSA practice files and code├─ docs/                        # Additional documentation and guides├─ image/                       # Image assets (photos/illustrations)├─ Interview Tips and Questionnaire/ # Interview tips and Q/A lists├─ LeetcodeAutomated/           # Automation helpers/scripts for LeetCode├─ Machine Learning - Deep Learning/ # ML & Deep Learning resources├─ My Practice - CompanyWise/   # Practice problems grouped by company├─ pages/                       # Static site pages (HTML)├─ Parsed Data/                 # Processed/normalized data exports├─ Python Scripts/              # Python tooling (refactoring, helpers)├─ scripts/                     # Miscellaneous scripts (utility/build/shell)└─ SQL/                         # SQL learning PDFs and study material

• A modern web browser (for browsing static content).
• Python (if you plan to use the scripts inPython Scripts/).
• Git (for cloning and contributing).

git clone --depth 1 https://github.com/srummanf/Data-Structures-And-Algorithms_SQL-DA-DS_Interview-Practice.git ./

You can openindex.html directly in a browser to explore the static site.For scripts and automation, navigate to the respective folder and follow individual documentation.

This project is deployed onNetlify.Live deployment can be accessed through the Netlify dashboard or directly via the deployment link (if public).

We welcome contributions to enhance and expand this repository.

• Please read theCONTRIBUTING.md guidelines before submitting a pull request.
• Ensure that contributions arewell-documented, tested, and follow the repository structure.

This repository is licensed under the terms of theLICENSE.md.Please ensure compliance before reusing or distributing the materials.