Course Content

Introduction to Python

1. First Acquaintance

The Very First Steps Comments Some Simple Math More Challenging Math Challenge Bringing It All Together

2. Variables and Types

Storing Numbers Naming Rules Using Variables Data Types Numbers Challenge Storing Text String Indexing Negative Indexing and Length String Slicing Challenge Concatenation

3. Conditional Statements

Boolean Data Type Challenge: Comparison Operators Combining Conditions Challenge: Logical Operators Membership Operators and Types Comparison Simple if/else Expressions Challenge: Grocery Store Challenge: Odd and Even if/elif/else Expressions Challenge: Grocery Store 2 Challenge: Positive, Negative or Zero

4. Other Data Types

What Is a List?List Methods Challenge Nested Lists Challenge What Is a Tuple?Tuple Methods Challenge Nested Tuples Challenge What Is a Dictionary?Challenge Dictionary Methods Challenge

5. Loops

while Loop Challenge for Loop Challenge Range Challenge Iterating Over Indexes Nested Loops

6. Functions

Built-in Functions Challenge Defining Your First Function Challenge if/else Statements in Functions Challenge Functions With No Return Challenge Modifying Functions Challenge Lambda Functions Challenge

Introduction to Python

List Methods

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:

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.

Everything was clear?

Section 4. Chapter 2