Programming Fundamentals
Core Programming Concepts
- What you Need to Know
-
Variables, Data Types, and Memory Management
- Primitive data types (integers, floats, strings, booleans)
- Complex data structures (arrays, lists, dictionaries, objects)
- Variable scope, lifetime, and memory allocation concepts
- Resources:
- Programming Basics - Khan Academy - Visual programming fundamentals
- Variables and Data Types - freeCodeCamp - JavaScript data types and variables
- Python Data Types - Official Python tutorial
-
Control Structures and Program Flow
- Conditional statements (if/else) and logical operators
- Loops (for, while) and iteration patterns
- Exception handling and error management
- Resources:
- Control Flow - Python.org - Python control structures
- JavaScript Control Flow - MDN control flow guide
- Programming Logic - Coursera - Duke University programming course
-
Functions and Modular Programming
- Function definition, parameters, and return values
- Function scope and local vs global variables
- Recursive functions and algorithmic thinking
- Resources:
- Functions Tutorial - JavaScript.info - JavaScript functions comprehensive guide
- Python Functions - Python function definition and usage
- Function Design Best Practices - Clean function design principles
-
Object-Oriented Programming (OOP)
- What you Need to Know
-
Classes, Objects, and Encapsulation
- Class definition and object instantiation
- Instance variables and methods
- Access modifiers and data encapsulation
- Resources:
- OOP Concepts - Oracle Java - Object-oriented programming fundamentals
- Python Classes - Python OOP tutorial
- JavaScript OOP - Object-oriented JavaScript
-
Inheritance and Polymorphism
- Class inheritance and method overriding
- Abstract classes and interfaces
- Polymorphism and dynamic method dispatch
- Resources:
- Inheritance Tutorial - Java - Java inheritance concepts
- Python Inheritance - Python inheritance and composition
- Polymorphism Explained - Polymorphism concepts and examples
-
Design Patterns and Best Practices
- Common design patterns (Singleton, Factory, Observer)
- SOLID principles for object-oriented design
- Code organization and architectural patterns
- Resources:
- Design Patterns - Comprehensive design patterns guide
- SOLID Principles - Object-oriented design principles
- Clean Code - Code quality and best practices
-
Data Structures and Algorithms
- What you Need to Know
-
Fundamental Data Structures
- Arrays, linked lists, and dynamic arrays
- Stacks, queues, and deques
- Hash tables and dictionaries
- Resources:
- Data Structures - GeeksforGeeks - Comprehensive data structures guide
- Algorithms and Data Structures - Stanford algorithms course (Free audit)
- Python Data Structures - Built-in data structures
-
Trees and Graph Structures
- Binary trees, binary search trees, and tree traversal
- Graphs, graph representation, and graph algorithms
- Heaps and priority queues
- Resources:
- Tree Data Structures - Tree concepts and implementations
- Graph Algorithms - Stanford graph algorithms
- Heap Data Structure - Heap implementation and usage
-
Algorithm Analysis and Complexity
- Big O notation and time complexity analysis
- Space complexity and memory optimization
- Algorithm efficiency and performance comparison
- Resources:
- Big O Notation - Khan Academy algorithm analysis
- Algorithm Complexity - Rice University algorithmic thinking
- Time and Space Complexity - Complexity analysis examples
-
Programming Language Mastery
- What you Need to Know
-
JavaScript for Web Development
- ES6+ features and modern JavaScript syntax
- Asynchronous programming with promises and async/await
- DOM manipulation and event handling
- Resources:
- Modern JavaScript Tutorial - Comprehensive modern JavaScript guide
- You Don't Know JS - Deep JavaScript understanding
- MDN JavaScript Guide - Official JavaScript documentation
-
Python for Backend Development
- Python syntax and idiomatic code writing
- Standard library and common modules
- Package management with pip and virtual environments
- Resources:
- Python Tutorial - Official Python learning guide
- Real Python - Practical Python tutorials and guides
- Automate the Boring Stuff - Practical Python programming
-
Additional Language Options
- Java for enterprise development and Android
- C# for Microsoft ecosystem and game development
- Go for system programming and microservices
- Resources:
- Java Tutorial - Oracle - Official Java documentation
- C# Programming Guide - Microsoft C# documentation
- Go Tour - Interactive Go programming tutorial
-
Database Fundamentals
- What you Need to Know
-
Relational Database Concepts
- Database design and normalization principles
- SQL queries and database operations
- Relationships and foreign keys
- Resources:
- SQL Tutorial - W3Schools - Interactive SQL learning
- Database Design Course - University of Colorado database course
- PostgreSQL Tutorial - Advanced relational database
-
NoSQL and Modern Database Systems
- Document databases (MongoDB) and key-value stores
- Graph databases and time-series databases
- Database selection criteria and use cases
- Resources:
- MongoDB University - NoSQL database courses
- Redis Tutorial - In-memory data structure store
- Database Types Comparison - SQL vs NoSQL comparison
-
Version Control and Collaboration
- What you Need to Know
-
Git Fundamentals
- Repository creation and basic Git commands
- Branching, merging, and conflict resolution
- Remote repositories and collaborative workflows
- Resources:
- Git Tutorial - Atlassian - Comprehensive Git learning guide
- Learn Git Branching - Interactive Git tutorial
- Pro Git Book - Complete Git reference
-
GitHub and Collaborative Development
- Pull requests and code review processes
- Issue tracking and project management
- Open-source contribution workflows
- Resources:
- GitHub Skills - Interactive GitHub learning
- GitHub Flow - Collaborative development workflow
- Open Source Guide - Contributing to open-source projects
-
Development Environment and Tools
- What you Need to Know
-
Integrated Development Environments (IDEs)
- VS Code setup and essential extensions
- Debugging tools and integrated terminals
- Code formatting and linting integration
- Resources:
- VS Code Documentation - Popular code editor guide
- VS Code for Web Development - Web development setup
- IDE Comparison Guide - IDE selection criteria
-
Command Line and Terminal Skills
- Basic command line navigation and file operations
- Package installation and environment management
- Shell scripting basics for automation
- Resources:
- Command Line Crash Course - Terminal fundamentals
- Linux Command Line - Linux terminal tutorial
- PowerShell for Developers - Windows PowerShell guide
-
Testing and Quality Assurance
- What you Need to Know
-
Unit Testing Fundamentals
- Test-driven development (TDD) principles
- Writing effective unit tests
- Testing frameworks and assertion libraries
- Resources:
- Unit Testing Best Practices - Testing principles and practices
- Jest Testing Framework - JavaScript testing framework
- Python unittest - Python testing framework
-
Code Quality and Static Analysis
- Code linting and formatting tools
- Static analysis and code review practices
- Code coverage and testing metrics
- Resources:
- ESLint for JavaScript - JavaScript code quality tool
- Pylint for Python - Python static analysis
- SonarQube - Code quality and security analysis
-
Problem-Solving and Algorithmic Thinking
- What you Need to Know
-
Algorithm Design Strategies
- Divide and conquer approaches
- Greedy algorithms and optimization
- Dynamic programming and memoization
- Resources:
- Algorithms Specialization - Stanford algorithms course
- Algorithm Design Manual - Comprehensive algorithm design guide
- LeetCode Practice - Algorithm problem-solving practice
-
Data Structure Implementation
- Implementing common data structures from scratch
- Understanding performance characteristics
- Choosing appropriate data structures for problems
- Resources:
- Data Structure Implementation - Implementation tutorials and examples
- Python Data Structure Implementation - Algorithm implementations in Python
- JavaScript Data Structures - JS algorithms and data structures
-
Ready to Build Web Applications? Continue to Module 2: Web Development to master frontend and backend web technologies for building modern web applications.