Kurssisisältö
Introduction to Python(ihor)
Introduction to Python(ihor)
2. Variables and Types in Python
How to Store Numbers in PythonPython Naming Rules for VariablesHow to Work with Variables in PythonData Types in PythonChallenge: Converting Kilometers to MilesStore Text with Strings in PythonString Indexing in PythonString Slicing in PythonChallenge: Retrieving Letters from StringString Concatenation in Python
3. Conditional Statements in Python
Boolean Data Type in PythonChallenge: Working with Comparison OperatorsHow to Combine Conditions in PythonChallenge: Working with Logical OperatorsMembership Operators and Type Comparisons in PythonHow to Use if/else Expressions in PythonChallenge: Running a Grocery StoreChallenge: Creating Odd and Even Logicif/elif/else ExpressionsChallenge: Running Grocery Store ExtendedChallenge: Weather Adviser
4. Other Data Types in Python
Python ListsCommon List Methods in PythonChallenge: Updating ListNested Lists in PythonChallenge: Retrieving Information from Nested ListPython TuplesCommon Tuple Methods in PythonChallenge: Updating TupleNested Tuples in PythonChallenge: Retrieving Information from Nested TuplePython DictionariesChallenge: Creating DictionaryCommon Dictionary Methods in PythonChallenge: Updating Dictionary
6. Functions in Python
Built-in Functions in PythonChallenge: Converting HeightsHow to Create Functions in PythonChallenge: Writing First FunctionUse of if/else Statements in Python FunctionsChallenge: Identifying Positive Values Functions Without Return in PythonChallenge: Creating Logging FunctionModifying Functions in PythonChallenge: Updating Logic of the FunctionLambda Functions in PythonChallenge: Creating Lambda Function
How to Create Functions in Python
When testing your code, you might assign different values to a variable to ensure it works correctly. However, as your codebase grows, this approach can become inefficient and cumbersome. A more effective solution is to use functions, which enhance flexibility and improve code organization. The general syntax for defining a function looks like this:
def function_name(parameter_a, parameter_b):
# Function_body
return # Return keyword with some value or without
To create a basic function that accepts two numbers, a and b, and returns the square of their sum, you can define a function that first calculates the sum of the two numbers and then squares the result. All lines within a function's body must maintain consistent indentation.
# Define function def sum_squared(a, b): return (a + b) ** 2 # Call function print(sum_squared(2, 3))
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