Introduction to Python

Introduction to Python

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1. First Acquaintance

In this section, you'll dive into the basics of Python, familiarize yourself with your workspace, tackle simple math operations, and display your results.

The Very First Steps

Some Simple Math

More Challenging Math

Bringing It All Together

2. Variables and Types

Here, you'll learn how to store items like numbers and text in computer memory, recalling them by name. You'll also get a taste of text manipulation in Python.

Storing Numbers

Using Variables

String Indexing

Negative Indexing and Length

3. Conditional Statements

Here, you'll delve into the boolean data type and discover its role in creating programs that respond to specific conditions.

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 Extended

Challenge: Positive, Negative or Zero

4. Other Data Types

Continuing with data types, this section will teach you how to group varied attributes within a single variable using lists, tuples, and the dictionaries.

What Is a List?

What Is a Tuple?

What Is a Dictionary?

Dictionary Methods

5. Loops

In this part, you'll master the art of writing loops in Python – essential constructs for iterating over lists, tuples, dictionaries, and even future dataframes.

Iterating Over Indexes

6. Functions

To wrap up our introductory course, you'll explore some built-in functions and then embark on creating your very own!

Built-in Functions

Defining Your First Function

if/else Statements in Functions

Functions With No Return

Modifying Functions

Lambda Functions

Course Content

Introduction to Python

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 Extended 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

Lambda Functions

All the functions we've created up until now are stored in memory after the code runs for the first time. However, there are times when you might not want to create a standalone function, especially for straightforward tasks. In these situations, you can use Python's lambda function, which is essentially an anonymous function. Here's the syntax:

As an illustration, let's revisit our initial function. We can refactor it using a lambda function to return the squared sum of two numbers:


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# Define lambda function
sq = lambda x, y: (x + y)**2
# Test it
print('Sum of 2 and 3 squared is', sq(2, 3))

Note

As you might infer, not all functions we've discussed can be converted into lambda functions. Typically, lambda functions are best suited for concise operations that fit within a single line.

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Section 6. Chapter 11

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