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Introduction to programming with Python
  • Introduction to programming with Python 3
  • Preface
    • Common misconceptions about learning to program
    • The Hard truth about learning to program
    • Personal qualities for success
  • 1 - The way of the program
    • Python Programming Language
    • The first program
    • What is debugging?
    • Glossary
    • Exercises
  • 2 - Variables, expressions and statements
    • Values, types and variables
    • Common Built-in data types
    • Expressions
    • Code Format
    • Debugging
    • Glossary
    • Exercises
  • 3 - Functions
    • Python "built-in" Functions
    • Math Functions
    • Composition
    • User Defined Functions
    • PEP 8 Recommendations
    • Debugging
    • Glossary
    • Exercises
  • 4 - Conditionals
    • Boolean expressions
    • Conditional statements
    • PEP 8 Recommendations
  • 5 - Iteration
    • The while statement
    • The for statement
    • break and continue statements
    • Nested Loops
    • PEP 8 Recommendations
    • Debugging
    • Glossary
    • Exercises
  • 6 - A short introduction to testing: Building Reliable Software
  • 7 - A deeper dive into Strings, Lists and Tuples
    • More on Strings
    • More on Lists
    • More on Tuples
    • Debugging
    • Glossary
    • Exercises
  • 8 - A deeper look at Functions in Python
    • Function Preconditions and Postconditions
    • Positional and Keywords arguments
    • Nested Functions
    • Scope of a variable
    • Recursion
    • Functions' side effects
    • Glossary
    • Exercises
  • 9 - Code Documentation
    • Basics of Commenting Code
    • Documenting Code via Python Docstring
  • 10 - Sets and dictionaries
    • Sets
    • Dictionaries
    • Which data structure should I use?
    • Debugging
    • Glossary
    • Exercises
  • 11 - File I/O
    • Read/Write to a file
    • File management
    • Debugging
    • Glossary
    • Exercises
  • 12 - Handling Errors and Exceptions
  • 13 - Writing modules
  • 14 - Classes
    • Classes and Objects
    • Classes and Functions
    • Classes and Methods
    • Pythonic Magic: Understanding and Implementing Dunder Methods
    • Glossary
    • Exercises
  • 15 - Python's Type Hinting
  • Acknowledgements
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4 - Conditionals

Conditional statements are fundamental constructs in programming that enable a program to make decisions and execute specific actions based on certain conditions or criteria. These statements introduce the concept of branching, allowing the program to follow different paths depending on the values of variables, user input, or the outcome of previous calculations.

Conditional statements are indispensable in programming for several crucial reasons:

  • Making Informed Choices: In the world of software development, decision-making is paramount. Programs need to react differently to varying inputs and circumstances. Conditional statements provide the means to create intelligent and context-aware code. They allow programs to analyze data and act accordingly, making them adaptable and responsive.

  • Handling Complexity: Many real-world problems require the handling of complex logic and multiple scenarios. Conditional statements help programmers manage this complexity by organizing code into manageable, structured blocks. By specifying conditions and corresponding actions, developers can break down intricate tasks into smaller, more understandable components.

  • User Interaction: Conditional statements are essential for creating interactive applications. They enable programs to respond to user input, validate data, and provide appropriate feedback. For example, in a user registration form, conditional statements can be used to check if the entered email address is valid or if the password meets certain criteria.

  • Error Handling: In programming, things don't always go as planned. Conditional statements play a crucial role in error handling. They allow programs to anticipate potential issues, detect errors, and take corrective actions. This is vital for ensuring the reliability and robustness of software.

  • Creating Dynamic Behaviour: One of the key strengths of programming is its ability to perform different actions under different conditions. Conditional statements empower developers to create dynamic and context-aware behavior in their applications. For instance, in a game, conditional statements can dictate the rules of the game, such as when a player wins or loses.

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Last updated 1 year ago