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 Complex 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: Weather Adviser

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: Creating 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 Python 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

There are many operations you can perform on a list. Here are some of the most common ones:

len(t): returns the number of items in list t;
list1 + list2: combines two lists (both must be lists);
t * n: creates n copies of list t;
t.append(x): adds x to the end of t (modifies the original list);
t.extend([x, y, ...]): appends multiple elements to t (also modifies the list);
t.copy(): creates a duplicate of t;
t.count(x): counts how many times x appears in t.

For example, let's expand our previous list by adding the capital city and total number of states.


              12345678910
            
# 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

The .extend() method requires an iterable as its argument. In this case it is a list. An iterable in Python is any object that can be traversed element by element.

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Section 4. Chapter 2

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