Programming Languages and Techniques I

🧵Programming Languages and Techniques I Unit 1 – Intro to Programming & Software Dev

Programming is the art of instructing computers to perform tasks and solve problems. This unit introduces key concepts like syntax, algorithms, variables, and functions, laying the foundation for understanding how code works and how to write it effectively. From basic data types to control structures and debugging techniques, you'll learn the building blocks of programming. Object-oriented programming and practical applications round out the unit, preparing you to tackle real-world coding challenges.

Key Concepts and Terminology

  • Programming involves writing instructions for computers to execute specific tasks and solve problems
  • Syntax refers to the rules and structure of a programming language that must be followed for code to be valid
  • Algorithms are step-by-step procedures for solving problems or accomplishing tasks (sorting, searching)
  • Variables store and manipulate data within a program
    • Variables have a name, data type, and value
    • Variables can be reassigned throughout the program's execution
  • Functions are reusable blocks of code that perform specific tasks and can accept input parameters and return values
  • Object-oriented programming (OOP) organizes code into objects, which are instances of classes that encapsulate data and behavior
  • Debugging is the process of identifying and fixing errors or bugs in code
    • Common debugging techniques include using print statements, breakpoints, and debugging tools

Programming Fundamentals

  • Programming languages have different levels of abstraction (low-level, high-level) that affect their readability and performance
  • Compiled languages (C++, Java) are converted directly into machine code, while interpreted languages (Python, JavaScript) are executed line by line
  • Comments are used to document and explain code, making it more readable and maintainable
    • Single-line comments (// in C++, Java; # in Python)
    • Multi-line comments (/* */ in C++, Java; ''' ''' in Python)
  • Indentation and formatting conventions improve code readability and organization
  • Pseudocode is a high-level, informal description of an algorithm or program logic, written in a human-readable format
  • Flowcharts visually represent the flow and logic of a program using symbols and arrows
  • Integrated Development Environments (IDEs) provide tools for writing, debugging, and executing code (Visual Studio, Eclipse, PyCharm)

Basic Data Types and Variables

  • Primitive data types are the most basic data types available in a programming language
    • Integer (int): whole numbers (42, -7)
    • Floating-point (float, double): numbers with decimal points (3.14, -0.5)
    • Boolean (bool): true or false values
    • Character (char): single characters ('a', '7', '$')
  • Composite data types are built using primitive data types
    • String: a sequence of characters ("Hello, world!")
    • Array: a fixed-size collection of elements of the same data type ([1, 2, 3], ['a', 'b', 'c'])
    • List: a dynamic-size collection of elements (Python: [1, 'a', True])
  • Variables are declared using a specific syntax that includes the data type and name (int age;, String name;)
  • Constants are variables whose values cannot be changed after initialization, often denoted by uppercase names (const double PI = 3.14159;)
  • Type conversion (casting) allows converting one data type to another (int to float, char to int)

Control Structures and Logic

  • Sequential execution runs code line by line in the order it appears
  • Conditional statements (if, else if, else) execute different code blocks based on Boolean conditions
    • Comparison operators (==, !=, <, >, <=, >=) compare values and return Boolean results
    • Logical operators (&&, ||, !) combine or negate Boolean expressions
  • Loops (for, while) repeat a block of code multiple times based on a condition
    • For loops iterate over a sequence (array, range of numbers) or until a condition is met
    • While loops execute as long as a condition is true
  • Switch statements provide a way to test a variable against multiple possible values and execute corresponding code blocks
  • Short-circuit evaluation optimizes the evaluation of Boolean expressions by stopping as soon as the result is determined
  • Nested control structures (loops within loops, conditional statements within loops) allow for more complex program logic

Functions and Modularity

  • Functions promote code reuse, modularity, and readability by encapsulating a specific task
  • Function declarations include the return type, name, and parameter list (void printMessage(String message);)
  • Function calls transfer control to the function and execute its code block
  • Parameters are variables that receive values passed to a function during a function call
    • Pass-by-value: a copy of the argument is passed to the function (primitives)
    • Pass-by-reference: the memory address of the argument is passed to the function (objects, arrays)
  • Return statements allow functions to send a value back to the calling code and terminate the function's execution
  • Recursive functions call themselves to solve problems by breaking them down into smaller subproblems (factorial, Fibonacci sequence)
  • Modular programming divides a program into smaller, independent modules (functions, classes) that can be developed and tested separately

Debugging and Problem-Solving

  • Syntax errors occur when code violates the rules of the programming language and prevent compilation or interpretation
  • Runtime errors occur during program execution and cause the program to crash or behave unexpectedly (division by zero, accessing an array out of bounds)
  • Logic errors produce incorrect results but do not cause the program to crash (incorrect algorithm, off-by-one errors)
  • Print statements can be used to output variable values and trace program execution for debugging purposes
  • Breakpoints allow pausing program execution at specific lines of code to inspect variables and step through the program
  • Debugging tools (debuggers, profilers) help identify and diagnose issues in code
    • Stepping (step over, step into, step out) executes code line by line
    • Watches monitor the values of specific variables or expressions
  • Problem-solving strategies (break down the problem, pseudocode, test cases) help approach and solve programming challenges systematically

Introduction to Object-Oriented Programming

  • Object-oriented programming (OOP) organizes code into objects that encapsulate data (attributes) and behavior (methods)
  • Classes are blueprints for creating objects, defining their attributes and methods
    • Class declarations include the class name and its member variables and functions
    • Objects are instances of a class, created using the class constructor
  • Encapsulation hides the internal details of an object and provides a public interface for interaction
    • Access modifiers (public, private, protected) control the visibility and accessibility of class members
  • Inheritance allows classes to inherit attributes and methods from a parent class, promoting code reuse and hierarchical relationships
    • Subclasses (derived classes) inherit from a superclass (base class) and can add or override members
    • Polymorphism allows objects of different classes to be treated as objects of a common parent class
  • Abstraction focuses on essential features and behavior, hiding unnecessary details
    • Abstract classes cannot be instantiated and may contain abstract methods
    • Interfaces define a contract of methods that implementing classes must adhere to
  • Composition (has-a relationship) allows objects to contain other objects as member variables, modeling complex relationships between classes

Practical Applications and Projects

  • Text-based games (adventure games, quizzes) involve user interaction, string manipulation, and control structures
  • Data analysis and visualization projects use libraries (matplotlib, pandas) to process and display data
  • Web scraping projects extract data from websites using libraries (BeautifulSoup, Scrapy) and can be used for data mining or analysis
  • Automation scripts can be used to automate repetitive tasks (file management, data entry) using libraries (os, subprocess)
  • GUI applications (calculators, note-taking apps) use libraries (Tkinter, PyQt) to create graphical user interfaces
  • Mobile app development (Android with Java, iOS with Swift) involves using mobile SDKs and frameworks to create applications for smartphones and tablets
  • Game development (Unity with C#, Pygame with Python) involves using game engines and libraries to create interactive games
  • Contributing to open-source projects allows collaborating with other developers, improving existing software, and gaining practical experience


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© 2024 Fiveable Inc. All rights reserved.
AP® and SAT® are trademarks registered by the College Board, which is not affiliated with, and does not endorse this website.