Course Content
Introduction to Python
Introduction to Python
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 PythonNegative Indexing and String Length 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: Outputting Positive, Negative or Zero
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: Completing DictionaryCommon Dictionary Methods in PythonChallenge: Updating Dictionary
6. Functions in Python
Built-in Functions in PythonChallenge: Converting HeightsHow to Create Functions in PythonsChallenge: 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 Pythons
In earlier examples, like those in the "Conditional Statements" section, we often assigned different values to a variable just to verify our code was functioning correctly. This method can be cumbersome, especially as our code grows more extensive. A more efficient approach involves using functions. Here's the general syntax for defining a function:
Note
All lines of code within the function's body must have consistent indentation, whether it's 2 spaces, 3, 4, or another value.
For instance, let's craft a basic function that takes in two numbers (we'll call them a
and b
) and returns the square of their sum.
# Define function def sum_squared(a, b): return (a + b)**2 # Call function print(sum_squared(2, 3))
Success! Indeed, 2 + 3
equals 5
, and 5
squared is 25
.
Everything was clear?
Thanks for your feedback!
Section 6. Chapter 3