on-demand course

Python Fundamentals with Paul Deitel, 2nd Edition

with Paul Deitel

September 2025

Beginner

54h 58m

English

Closed Captioning available in German, English, Spanish, French, Italian, Japanese, Korean, Chinese (Simplified), Chinese (Traditional)

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Includes Quizzes

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Course outline

Introduction to Python Fundamentals: Part 1
23m 55s
Watch This First! Python Fundamentals, 2/e Sneak Peek
7m 0s
Lesson overview
3m 12s
Getting the Code Examples
1m 9s
Structure of the examples Folder
5m 19s
Installing Anaconda
6m 3s
Updating Anaconda
5m 2s
Package managers
6m 7s
Creating a Custom Environment
6m 38s
Getting your questions answered
2m 31s
Keeping in Touch
50s
Lesson overview
6m 53s
Using IPython Interactive Mode as a Calculator
16m 7s
Executing a Python Program Using the IPython Interpreter
9m 1s
Writing and Executing Code in a Jupyter Notebook—Overview
5m 6s
Writing and Executing Code in a Jupyter Notebook—Opening JupyterLab and an Overview of the JupyterLab Interface
14m 23s
Writing and Executing Code in a Jupyter Notebook—Creating a New Jupyter Notebook
1m 40s
Writing and Executing Code in a Jupyter Notebook—Adding and Executing Code and Markdown Cells
15m 13s
Writing and Executing Code in a Jupyter Notebook—Opening and Executing an Existing Notebook
6m 53s
Writing and Executing Code in a Jupyter Notebook—Closing JupyterLab and Terminating the Jupyter Server
2m 11s
Writing and Executing Code in a Jupyter Notebook—Google Colab
3m 48s
Lesson overview
9m 17s
Variables and Assignment Statements
9m 13s
Variables and Assignment Statements: Self Check
1m 40s
Variables and Assignment Statements — Generative AI Prompts
4m 16s
Arithmetic
12m 38s
Self Check
3m 42s
Arithmetic — Generative AI Prompts
2m 21s
Function print and an Intro to Single- and Double-Quoted Strings
9m 42s
Self Check
2m 32s
Function print and an Intro to Single- and Double-Quoted Strings — Generative AI Prompts
2m 36s
Triple-Quoted Strings
8m 54s
Self Check
2m 20s
Triple-Quoted Strings — Generative AI Prompts
1m 25s
Getting Input from the User
9m 21s
Self Check
1m 10s
Getting Input from the User — Generative AI Prompts
43s
Decision Making: The if Statement and Comparison Operators
21m 13s
Self Check
3m 0s
Decision Making: The if Statement and Comparison Operators — Generative AI Prompts
2m 21s
Objects and Dynamic Typing
7m 35s
Self Check
1m 7s
Objects and Dynamic Typing — Generative AI Prompts
1m 55s
Objects-Natural Case Study: Creating and Using Objects of the Python str Class
13m 7s
Self Check
1m 58s
Objects-Natural Case Study: Creating and Using Objects of the Python Class — Generative AI Prompts
2m 14s
Intro to Data Science: Basic Descriptive Statistics
8m 55s
Self Check
47s
Intro to Data Science: Basic Descriptive Statistics — Generative AI Prompts
1m 44s
Lesson overview
3m 25s
if Statement
7m 57s
Self Check
2m 16s
if...else and if...elif...else Statements
10m 51s
Self Check
1m 51s
while Statement
2m 26s
Self Check
1m 18s
for Statement; Iterables, Lists and Iterators; Built-in range Function
11m 28s
Self Check
2m 13s
Augmented Assignments
2m 7s
Self Check
48s
Sequence-Controlled Iteration
6m 19s
Self Check
1m 40s
Sentinel-Controlled Iteration
8m 12s
Built-In Function range: A Deeper Look
3m 38s
Self Check
2m 26s
Using Type Decimal for Monetary Amounts
18m 24s
Self Check
2m 17s
break and continue Statements
2m 28s
Boolean Operators and, or and not
7m 46s
Self Check
2m 37s
Intro to Data Science: Measures of Central Tendency--Mean, Median and Mode
11m 3s
Self Check
3m 49s
Lesson overview
3m 28s
Defining Functions
15m 46s
Self Check
1m 47s
Functions with Multiple Parameters
9m 34s
Self Check
1m 50s
Random-Number Generation
10m 39s
Self Check
2m 9s
Case Study: A Game of Chance
15m 52s
Self Check
2m 16s
math Module Functions
3m 20s
Default Parameter Values
3m 21s
Keyword Arguments
5m 35s
Arbitrary Argument Lists
4m 54s
Self Check
2m 58s
Methods: Functions That Belong to Objects
4m 53s
Scope Rules
11m 27s
import: A Deeper Look
5m 38s
Self Check
1m 8s
Passing Arguments to Functions: A Deeper Look
8m 29s
Self Check
1m 21s
Functional-Style Programming
4m 49s
Intro to Data Science: Measures of Dispersion
10m 2s
Introduction to Python Fundamentals: Part 2
8m 30s
Lesson overview
3m 9s
Lists
17m 44s
Self Check
3m 41s
Tuples
12m 56s
Self Check
2m 6s
Unpacking Sequences
11m 31s
Creating a primitive bar chart
4m 58s
Self Check
4m 7s
Sequence Slicing Part 1: Getting a Subset of a Sequence
8m 32s
Sequence Slicing Part 2: Modifying a List
6m 1s
Self Check
4m 44s
del Statement
3m 22s
Self Check
2m 3s
Passing Lists to Functions
5m 2s
Sorting Lists
6m 20s
Self Check
2m 12s
Searching Sequences
9m 22s
Self Check
1m 31s
Other List Methods
11m 32s
Self Check
2m 45s
Simulating Stacks with Lists
2m 2s
List Comprehensions
6m 51s
Self Check
2m 48s
Generator Expressions
5m 55s
Self Check
1m 51s
Filter, Map and Reduce
16m 32s
Self Check
5m 31s
Other Sequence Processing Functions
8m 51s
Self Check
3m 58s
Two-Dimensional Lists
6m 37s
Self Check
2m 45s
Intro to Data Science: Simulation and Static Visualizations
2m 49s
Sample Graphs for 600, 60,000 and 6,000,000 Die Rolls
6m 2s
Visualizing Die-Roll Frequencies and Percentages--Part 1
10m 24s
Visualizing Die-Roll Frequencies and Percentages--Part 2
11m 10s
Visualizing Die-Roll Frequencies and Percentages--Part 3
11m 20s
Visualizing Die-Roll Frequencies and Percentages--Part 4
7m 22s
Lesson overview
3m 37s
Dictionaries
1m 35s
Creating a Dictionary
4m 57s
Self Check
1m 16s
Iterating through a Dictionary
3m 31s
Basic Dictionary Operarations
8m 9s
Self Check
1m 28s
Dictionary Methods keys and values
7m 11s
Self Check
1m 46s
Dictionary Comparisons
2m 39s
Example: Dictionary of Student Grades
4m 28s
Example: Word Counts
7m 49s
Python Standard Library Module collections
4m 52s
Self Check
2m 24s
Dictionary Method update
4m 40s
Dictionary Comprehensions
4m 44s
Self Check
1m 34s
Sets
7m 26s
Self Check
1m 54s
Comparing Sets
7m 21s
Self Check
2m 29s
Mathematical Set Operations
6m 41s
Self Check
2m 25s
Mutable Set Operators and Methods
6m 11s
Set Comprehensions
1m 42s
Intro to Data Science: Dynamic Visualizations--How Dynamic Visualization Works
9m 32s
Intro to Data Science: Dynamic Visualizations--Implementing Dynamic Visualization, Part 1
17m 38s

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Writing and Executing Code in a Jupyter Notebook—Creating a New Jupyter Notebook

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Publisher Resources

ISBN: 9780135917411

Python Fundamentals with Paul Deitel, 2nd Edition

with Paul Deitel

Part 1

Watch This First! Python Fundamentals, 2/e Sneak Peek

[Updated in 2025] Before You Begin

[Updated in 2025] Lesson 01: Test-Driving IPython and Jupyter Notebooks

[Updated in 2025] Lesson 02: Intro to Python Programming

Lesson 03: Control Statements

Lesson 04: Functions

Part 2

Lesson 05: Sequences: Lists and Tuples

Lesson 06: Dictionaries and Sets

Lesson 07: Array-Oriented Programming with NumPy

Part 3

Lesson 08: Strings: A Deeper Look

Lesson 09: Files and Exceptions

Lesson 10: Object-Oriented Programming

[New in 2024] What's New in Python

Part 4

Lesson 11: Natural Language Processing

Lesson 12: Data Mining Twitter

Lesson 13: IBM Watson(r) and Cognitive Computing

Part 5

Lesson 14, Machine Learning: Classification, Regression and Clustering

Lesson 15: Deep Learning

Lesson 16: Big Data: Hadoop, Spark, NoSQL and IoT

Recursion, Searching, Sorting and Big O

Lesson 18: Building API-Based Python GenAI Applications

Content preview from Python Fundamentals with Paul Deitel, 2nd Edition

Writing and Executing Code in a Jupyter Notebook—Creating a New Jupyter Notebook

Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.