Introduction to Python

Course Content

Introduction to Python

Introduction to Python

1. First Acquaintance with Python

The Very First Steps in Python How to Use Comments for Readability Perform Simple Math in Python Handle More Challenging Math in Python Bringing Python Fundamentals Together

2. Variables and Types in Python

How to Store Numbers in Python Python Naming Rules for Variables How to Work with Variables in Python Data Types in Python Challenge: Converting Kilometers to Miles Store Text with Strings in Python String Indexing in Python Negative Indexing and String Length in Python String Slicing in Python Challenge: Retrieving Letters from String String Concatenation in Python

3. Conditional Statements in Python

Boolean Data Type in Python Challenge: Working with Comparison Operators How to Combine Conditions in Python Challenge: Working with Logical Operators Membership Operators and Type Comparisons in Python How to Use if/else Expressions in Python Challenge: Running a Grocery Store Challenge: Creating Odd and Even Logic if/elif/else Expressions Challenge: Running Grocery Store Extended Challenge: Outputting Positive, Negative or Zero

4. Other Data Types in Python

Python Lists Common List Methods in Python Challenge: Updating List Nested Lists in Python Challenge: Retrieving Information from Nested List Python Tuples Common Tuple Methods in Python Challenge: Updating Tuple Nested Tuples in Python Challenge: Retrieving Information from Nested Tuple Python Dictionaries Challenge: Completing Dictionary Common Dictionary Methods in Python Challenge: Updating Dictionary

5. Loops in Python

Explore the While Loop in Python Challenge: Working with the While Loop Explore the For Loop in Python Challenge: Working with the For Loop Range Function in Python Challenge: Using the Range Function How to Iterate Over Indexes in Python Explore Nested Loops in Python

6. Functions in Python

Built-in Functions in Python Challenge: Converting Heights How to Create Functions in Pythons Challenge: Writing First Function Use of if/else Statements in Python Functions Challenge: Identifying Positive Values Functions Without Return in Python Challenge: Creating Logging Function Modifying Functions in Python Challenge: Updating Logic of the Function Lambda Functions in Python Challenge: Creating Lambda Function

Common List Methods in Python

Let's explore some basic techniques to work with lists:

len(t) - returns the length of list t, or in other words, the number of items it contains;
list1 + list2 - combines two lists (both must be lists);
t * n - creates n duplicates of list t;
t.append(x) - adds a single item x to the end of list t (this alters the original list);
t.extend([x, y, ...]) - appends elements x, y, ... to the end of list t (this also modifies the original list);
t.copy() - produces a duplicate of the list t;
t.count(x) - tallies the number of occurrences of x in list t.

As an example, let's enhance the list from our last discussion by adding more details, such as the capital city and the total number of states:


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# Initial and new lists
US_Info = ["USA", 9629091, 331002651]
US_Info_new = ["Washington D.C.", 50]

# Add new data using concatenation
print(US_Info + US_Info_new)

# Add new data using list method
US_Info.extend(US_Info_new)
print(US_Info)

Note

Keep in mind that the .extend() method needs an iterable object as its argument. In our case, we're using another list as the iterable.

An iterable object in Python is an object that can be iterated over, meaning you can traverse through all its elements in a sequence, such as a list, tuple, or string.

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Section 4. Chapter 2

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