Introduction to Python

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

Comments

Some Simple Math

More Challenging Math

Challenge

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.

Negative Indexing and Length

String Slicing

Challenge

Concatenation

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 Dictionary?

Challenge

Dictionary Methods

Challenge

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

Nested Loops

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

Challenge

Defining Your First Function

Challenge

if/else Statements in Functions

Challenge

Functions With No Return

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.

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Зміст курсу

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

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.

Все було зрозуміло?

Секція 4. Розділ 2