data/knowledge_base/computer_science.md

# Computer Science Knowledge Base

## Programming Fundamentals
### Variables and Data Types
- **Variables**: Named storage locations for data
- **Primitive Types**: int, float, boolean, char, string
- **Reference Types**: Objects, arrays, interfaces
- **Type Casting**: Converting between data types

### Control Structures
- **Conditional Statements**: if, else if, else, switch
- **Loops**: for, while, do-while, foreach
- **Break and Continue**: Loop control statements
- **Exception Handling**: try-catch blocks for error management

### Functions and Methods
- **Function Definition**: Reusable blocks of code
- **Parameters**: Input values passed to functions
- **Return Values**: Output from function execution
- **Recursion**: Functions calling themselves

## Object-Oriented Programming
### Classes and Objects
- **Classes**: Blueprints for creating objects
- **Objects**: Instances of classes with state and behavior
- **Encapsulation**: Bundling data and methods together
- **Inheritance**: Creating new classes from existing ones

### Polymorphism and Abstraction
- **Method Overloading**: Multiple methods with same name, different parameters
- **Method Overriding**: Subclasses providing specific implementations
- **Abstract Classes**: Base classes that cannot be instantiated
- **Interfaces**: Contracts defining method signatures

## Data Structures
### Linear Data Structures
- **Arrays**: Fixed-size collections of elements
- **Linked Lists**: Dynamic collections with node references
- **Stacks**: LIFO (Last In, First Out) data structure
- **Queues**: FIFO (First In, First Out) data structure

### Non-Linear Data Structures
- **Trees**: Hierarchical data structures
- **Binary Trees**: Trees with maximum two children per node
- **Graphs**: Collections of nodes connected by edges
- **Hash Tables**: Key-value pairs with fast lookup

## Algorithms
### Sorting Algorithms
- **Bubble Sort**: Simple comparison-based sorting
- **Quick Sort**: Divide-and-conquer sorting algorithm
- **Merge Sort**: Stable, comparison-based sorting
- **Heap Sort**: In-place comparison-based sorting

### Search Algorithms
- **Linear Search**: Sequential search through elements
- **Binary Search**: Efficient search in sorted arrays
- **Depth-First Search**: Graph traversal algorithm
- **Breadth-First Search**: Level-by-level graph traversal

## Computer Architecture
### Hardware Components
- **CPU**: Central Processing Unit for executing instructions
- **Memory**: RAM for temporary data storage
- **Storage**: Hard drives and SSDs for permanent data
- **Input/Output**: Devices for user interaction

### Operating Systems
- **Process Management**: Creating and managing processes
- **Memory Management**: Allocating and deallocating memory
- **File Systems**: Organizing and storing data
- **Device Drivers**: Software for hardware communication

## Software Engineering
### Development Lifecycle
- **Requirements Analysis**: Understanding user needs
- **Design**: Planning system architecture
- **Implementation**: Writing actual code
- **Testing**: Verifying system functionality
- **Deployment**: Releasing software to users

### Version Control
- **Git**: Distributed version control system
- **Branches**: Separate development lines
- **Merging**: Combining changes from different branches
- **Pull Requests**: Code review and integration process

## Database Systems
### Relational Databases
- **Tables**: Organized collections of related data
- **SQL**: Structured Query Language for database operations
- **Normalization**: Organizing data to reduce redundancy
- **Indexing**: Improving query performance

### NoSQL Databases
- **Document Stores**: Storing data in document format
- **Key-Value Stores**: Simple data storage systems
- **Graph Databases**: Storing relationships between entities
- **Column-Family Stores**: Storing data in columns