Ctrl+K

Rogue Docs

Rogue Docs#

The website is organized as a digital book contains an exploration of Algorithms, Data Science, Math, Artificial Intellegence, Classical Computer Science, and Financial modeling using Python. Here is the current coverage status.

What makes this Ebook Different from others?#

This Book

Others

Focuses on Assigments & Problem Solving

Focuses on Theory

Concise and understandable concepts

Long and very technical text

Requires Internet and laptop setup

Usually self-contained in the book.

Prioritizes User Friendliness

Prioritizes Completeness

Free & Constant Updates on Material

Paid & Updates by version

We don’t shy away from linking to external resources

Good luck searching on the glossary

Provide a Recall based lab learning environemnt

Up to you to Create your own study cards

Meme alive each chapter

No memes

How to use the Book#

Page by Page Learning#

TODO - Add a video tutorial on how to use the book page by page.

  1. Watch the Introduction Video/Short Tutorial

  2. Some chapters have Anki Cards to help you remember the concepts.

    1. Watch the Introduction Video/Short Tutorial

    2. Try to solve the Anki Cards

  3. Each Page chapter has an assigment with resources to help you finish the assigments.

    1. Try completing the assigment on your own.

    2. Use the references to help you finish your assigment.

  4. Use the book to check your answers and solutions.

Practice Mode.#

TODO - Add a video tutorial on how to use the practice mode.

  1. Clone the repository and go to the notebooks folder.

    1. We have Practice Notebooks for each chapter.

  2. If you want to practice feel free to create a new branch e.g. practice from the unstarted-assgiments branch.

  3. Select a Random Assigmnet to work on.

  4. once Completed your study session, you can reset or remove the practicebranch.

Misc#

Current Coverage#

Check Syllaubus

Topic

State

Genetic Algorithms

IN PROGRESS

Graph Problems

Artificial Intelligence

Probability

Anki Cards Coverage#

Topic

State

Genetic Algorithms

IN PROGRESS

Page Stage Tag#

Inspiration#

Book

Screenshot

The Nature of code by Daniel Shiffman

Grokking Series

Contents