Python-Functions-A-Comprehensive-Overview.pptx

Python-Functions-A-Comprehensive-Overview.pptx

• 1.
  Python Functions: A ComprehensiveOverview Python functions are reusable blocks of code that perform specific tasks. They help improve code readability, reusability, and organization. by Muhammad Fahad Bashir
• 2.
  Function Basics Definition Functions aredefined using the "def" keyword followed by a name and parentheses. Parameters Functions can accept input values called parameters. Return Value Functions can return a value using the "return" statement. Calling Functions are executed by calling their name with parentheses.
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  Writing function
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  Types of Functions Built-inFunctions Pre-defined functions in Python like print(), len(), etc. User-defined Functions Custom functions created by the programmer. Lambda Functions Small anonymous functions defined using the lambda keyword. Recursive Functions Functions that call themselves to solve problems.
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  Parameters vs Arguments Aparameter is the actual function specific variable that you would use inside your function void functionName( parameter1, parameter2 ){ return ( parameter1 + parameter2 ); } An argument is the actual value that is passed to the function when it is called. functionName( argument1, argument2 );
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  Function Arguments Positional Arguments Argumentspassed in the order they are defined. Keyword Arguments Arguments passed with parameter names. Default Arguments Arguments with pre-defined default values. Variable-length Arguments *args for variable positional arguments, **kwargs for variable keyword arguments.
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  Scope and Lifetime LocalScope Variables defined inside a function, accessible only within that function. Global Scope Variables defined outside functions, accessible throughout the program. Enclosing Scope Variables in outer functions, accessible to nested inner functions.
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  Advanced Function Concepts 1Decorators Functions that modify the behavior of other functions. 2 Generators Functions that yield a sequence of values over time. 3 Closures Functions that remember and access variables from their outer scope. 4 Higher-order Functions Functions that accept or return other functions.
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  Best Practices Documentation Use docstringsto explain function purpose and parameters. Single Responsibility Each function should perform one specific task. DRY Principle Don't Repeat Yourself - use functions to avoid code duplication. Testing Write unit tests for your functions to ensure correctness.
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  Conclusion Functions are fundamentalbuilding blocks in Python programming. Mastering their use will greatly enhance your coding skills and efficiency. Improve Code Organization Functions help structure your code into manageable, reusable units. Enhance Readability Well-named functions make code self-documenting and easier to understand. Boost Productivity Reusable functions save time and reduce errors in development.