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Last active May 27, 2024 01:03
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Computer Science (CS) Roadmap
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CS-Roadmap.md

Here’s a structured approach to help Ethan get started into computer science (CS):

1. Basic Computer Literacy

  • Understand the Basics: Get comfortable with using operating systems (Windows, macOS, Linux), basic software applications, and file management.
  • Typing Skills: Good typing skills are essential for coding efficiently.

2. Mathematics

  • Discrete Mathematics: Fundamental for algorithms and data structures. Topics include logic, sets, relations, and functions.
  • Linear Algebra: Important for graphics, machine learning, and many other fields.
  • Calculus: Useful for understanding changes and motion, especially in simulations and certain algorithms.
  • Probability and Statistics: Crucial for data science, machine learning, and algorithms involving randomness.

3. Programming Fundamentals

  • Choose a Language: Start with a beginner-friendly language like Python. It’s versatile and has a simple syntax.
  • Basic Concepts: Learn about variables, data types, control structures (if statements, loops), functions, and error handling.
  • Practice: Use platforms like Codecademy, Coursera, or edX for guided lessons and exercises.

4. Core Computer Science Concepts

  • Algorithms and Data Structures: Learn about arrays, linked lists, stacks, queues, trees, graphs, sorting, and searching algorithms. Books like "Introduction to Algorithms" by Cormen et al. are great resources.
  • Computer Organization: Understand how computers work at a basic level, including memory, CPU, and how code is executed.
  • Operating Systems: Basics of how operating systems manage hardware and software resources.

5. Development Tools and Practices

  • Version Control: Learn Git for managing code versions and collaboration.
  • Development Environments: Get comfortable with IDEs (Integrated Development Environments) like Visual Studio Code.
  • Debugging: Learn how to use debugging tools to troubleshoot and fix your code.

6. Web Development

  • HTML, CSS, and JavaScript: Basic web technologies for creating and styling web pages.
  • Front-end Frameworks: Learn a popular framework like React.
  • Back-end Development: Understand server-side programming with Node.js, Ruby on Rails, or Flask.

7. Databases

  • SQL: Basics of database management and querying with SQL.
  • NoSQL: Introduction to NoSQL databases like MongoDB.

8. Additional Topics

  • Software Engineering: Learn about software development methodologies (Agile, Scrum), design patterns, and best practices.
  • Cybersecurity: Basic principles of securing software and understanding common vulnerabilities.
  • Machine Learning and AI: Basics of algorithms, models, and tools like TensorFlow and PyTorch, if you're interested in AI.

9. Problem Solving and Critical Thinking

  • Practice Coding Problems: Websites like LeetCode, HackerRank, and CodeSignal offer a wide range of problems to improve your skills.
  • Projects: Work on personal or open-source projects to apply what you've learned and build a portfolio.
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