Kurssisisältö
Introduction to Python (dev copy)
Introduction to Python (dev copy)
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
Nested Tuples in Python
Much like lists, tuples can also have nested elements.
Take, for instance, data about countries grouped into tuples. The indexing for nested tuples works just like it does for nested lists. That is, the first index points to an item in the main tuple, while the second index targets an item within the nested tuple.
Let's refresh our understanding of indexing with the following example.
# Two-dimensional tuple two_d_countries = (('USA', 9629091, 331002651), ('Canada', 9984670, 37742154), ('Germany', 357114, 83783942), ('Brazil', 8515767, 212559417), ('India', 3166391, 1380004385)) # Get information about India print(two_d_countries[4]) # Get the area of India print(two_d_countries[4][1])
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