Learn_CODE

This is a repository that contains all the topics that I @rosekamallove studied while learning to code and am currently learning Data Structures and Algorithms, and all the code I wrote are in this repo and I am thinking of making this repo more like a Learning resource.

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This is a repository which contains all the topics that I @rosekamallove studied while learning coding and am currently learning Data Structures and Algorithms, and all the code I wrote are in this repo and I am thinking of making this repo more like a Learning resourse. So why not contribute to it ?


 


“Learning to write programs stretches your mind, and helps you think better, creates a way of thinking about things that I think is helpful in all domains.” –Bill Gates

“Everyone should code, It teaches you how to think.” –Steve Jobs

  • What are the features of this repository?

    • Links to all of Computer Science from top Universities like MIT, Stanford, Duke, etc

    • Guiding articles, RoadMaps and Checklists

    • Question Bank: The problem statement and template and the GFG link already written you just have to write the code.

    • You can make a branch and start solving questions and make your own solution bank in that way we will multiple people solving the same problem with different approach, win win.

    • A great resource for our juniors or who are at a lower skill level.

    • One Stop for programming books:

      • Data Strucutres and Algorithms
      • Programming Languages
      • Databases
      • Linux and Windows Command Line
      • Web Development
      • App Development
      • Competitive Coding
    • Getting in a habbit of Open-Source Contribution.
    • Getting in a habbit of looking at other people’s code.

Details about the Folders in the Repository :

S.No Folder/File Name About the contents
1. Basics This folder contains all the basics of C++ that one has to learn before moving on to DSA (STL (Vectors Sets and Maps) is an exception it can also be learned later or I should say it should be learnd after learnign some basic DataStructures) .
2. DataStructures&Algorithm This folder contains as the name suggests DataStructures and Algorithms written in C++, after you have learned the basics of a programming language move on with this.
3. Articles To Read This folder contains all the roadmaps, guides, checklists.
4. Programming Books This folder contains a lot of programming related books, (Reading them is not recommended only use them for reference purposes.
5. Questions This folder contains Data Structures and Algorithm questions. The problem statement and template and the GFG links are already written you just have to write the code.
6. theNewBoston This folder contains the code for The New Boston C++ Playlist
7. templateBasic.cpp This is just a basic C++ template which #include the <bits/stdc++.h> header file which conatains almost all the header files so you can be free of the hassle of including every header file you need.
8. templateCP.cpp This is the compeptetve coding template most of the coders out there use. It has a lot of macros to make you fast during the contests (if you are a beginner then please do yourself a favor and ignore this)
9. Users This is the folder you are supposed to be coding in, make a direcotry of your name copy the questions foflder in it and start solving and then create a pull request, I will merge it and what this will help in is everyone has their way of solving problem and wiriting the code for it. By looking at people’s code of the same question you are doing will help grow everyone.

Resources for learning SWE/CS

This is a curated list of free courses from reputable universities like MIT, Stanford, and Princeton that satisfy the same requirements as an undergraduate Computer Science degree, minus general education.

Computer Science Basics

Courses School Duration Effort Frequency Prerequisites
Intro to Computer Science Harvard 10 weeks 10-20 hours/week self-paced none
Mathematical Thinking in Computer Science UC San Diego 6 weeks 2-5 hours/week once a month none

Programming

Courses School Duration Effort Frequency Prerequisites
Java Programming: Solving Problems with Software Duke 4 weeks 4-8 hours/week twice a month none
Java Programming: Arrays, Lists, and Structured Data Duke 4 weeks 4-8 hours/week twice a month Java Programming: Solving Problems with Software
Object Oriented Programming in Java Duke 6 weeks 4-6 hours/week every week Java Programming: Arrays, Lists, and Structured Data
Data Structures and Performance Duke 6 weeks 6-10 hours/week every week Object Oriented Programming in Java
Java Programming: Principles of Software Design Duke 4 weeks 4-8 hours/week twice a month Java Programming: Arrays, Lists, and Structured Data
Java Programming: Build a Recommendation System Duke 4 weeks 3-6 hours/week once a month Java Programming: Principles of Software Design
Programming Languages, Part A UW 5 weeks 8-16 hours/week once a month Object Oriented Programming in Java
Programming Languages, Part B UW 3 weeks 8-16 hours/week once a month Programming Languages, Part A
Programming Languages, Part C UW 3 weeks 8-16 hours/week once a month Programming Languages, Part B

Math

Courses School Duration Effort Frequency Prerequisites
Calculus 1A: Differentiation MIT 12 weeks 6-10 hours/week self-paced pre-calculus
Calculus 1B: Integration MIT 15 weeks 6-10 hours/week self-paced Calculus 1A: Differentiation
Calculus 1C: Coordinate Systems & Infinite Series MIT 8 weeks 6-10 hours/week self-paced Calculus 1B: Integration
Linear Algebra - Foundations to Frontiers UT Austin 15 weeks 6-10 hours/week self-paced pre-calculus
Introduction to Probability and Data Duke 5 weeks 5-7 hours/week twice a month none
Intro to Statistics Udacity 8 weeks 5-7 hours/week self-paced none

Systems

Courses School Duration Effort Frequency Prerequisites
Build a Modern Computer from First Principles: From Nand to Tetris Hebrew University of Jerusalem 6 weeks 5 hours/week twice a month basic programming knowledge
Build a Modern Computer from First Principles: From Nand to Tetris II Hebrew University of Jerusalem 6 weeks 10-15 hours/week once a month Build a Modern Computer from First Principles: From Nand to Tetris
Introduction to Operating Systems Georgia Tech 8 weeks 5-8 hours/week self-paced Build a Modern Computer from First Principles: From Nand to Tetris II

Theory

Courses School Duration Effort Frequency Prerequisites
Computer Science: Algorithms, Theory, and Machines Princeton 10 weeks 2-5 hours/week once a month Calculus 1A (all), basic programming
Algorithms, Part I Princeton 6 weeks 6-12 hours/week once a month Computer Science: Algorithms, Theory, and Machines
Algorithms, Part II Princeton 6 weeks 6-12 hours/week once a month Algorithms, Part I

Applications

Courses School Duration Effort Frequency Prerequisites
Software Engineering: Introduction UBCx 6 weeks 8-10 hours/week self-paced Java Programming: Build a Recommendation System
Machine Learning Stanford 11 weeks 5-7 hours/week twice a month Linear Algebra - Foundations to Frontiers
Database Management Essentials CU 7 weeks 4-6 hours/week twice a month basic programming & CS knowledge
Cryptography I Stanford 7 weeks 5 hours/week once a month Linear Algebra - Foundations to Frontiers & Introduction to Probability and Data

Unix

Courses School Duration Effort Frequency Prerequisites
Linux Command Line Basics Udacity 1 week 5 hours/week self-paced none
The Unix Workbench JHU 4 weeks 4 hours/week once a month none