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

More Challenging Math

Nice work! Python provides several additional math operations, including:

// - floor division or integer division;
% - modulus or remainder after division;
** - exponentiation or raising to a power.

It's important to note that you can't use the traditional ^ symbol for exponentiation in Python, as it yields a different result. The syntax for these operations mirrors that of basic arithmetic. For example, 18 // 4 results in 4, because we're taking the whole number from the division (the actual result being 4.5). 14 % 5 gives 4, because when we divide 14 by 5, the remainder is 4. 4 ** 3 results in 64, because 4 multiplied by itself three times equals 64.

Task

On the second line, compute the floor division of 234 by 32.
On the fifth line, determine the remainder when 356 is divided by 17.

Why are these operations helpful?

For instance, picture this scenario: You've got $50 and you want to buy as many cookie packs as possible, with each pack priced at $6. You're trying to figure out the max number of packs you can purchase and the change you'll receive. Using the operations above, you can solve this easily.

50 // 6 gives 8, which means you can buy 8 packs;
50 % 6 results in 2, indicating you'll have $2 left after buying 8 packs.

Everything was clear?

Section 1. Chapter 4

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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

More Challenging Math

Nice work! Python provides several additional math operations, including:

// - floor division or integer division;
% - modulus or remainder after division;
** - exponentiation or raising to a power.

It's important to note that you can't use the traditional ^ symbol for exponentiation in Python, as it yields a different result. The syntax for these operations mirrors that of basic arithmetic. For example, 18 // 4 results in 4, because we're taking the whole number from the division (the actual result being 4.5). 14 % 5 gives 4, because when we divide 14 by 5, the remainder is 4. 4 ** 3 results in 64, because 4 multiplied by itself three times equals 64.

Task

On the second line, compute the floor division of 234 by 32.
On the fifth line, determine the remainder when 356 is divided by 17.

Why are these operations helpful?

For instance, picture this scenario: You've got $50 and you want to buy as many cookie packs as possible, with each pack priced at $6. You're trying to figure out the max number of packs you can purchase and the change you'll receive. Using the operations above, you can solve this easily.

50 // 6 gives 8, which means you can buy 8 packs;
50 % 6 results in 2, indicating you'll have $2 left after buying 8 packs.

Everything was clear?

Section 1. Chapter 4

toggle bottom row

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