Oreilly – The Quick Python Book, Fourth Edition, Video Edition 2025-3

The Quick Python Book, Fourth Edition, Video Edition. This course is a compact and practical guide to learning the Python programming language, suitable for developers with an intermediate level of programming knowledge. This course covers the fundamental concepts, standard library, and unique features of Python in a comprehensive manner. New topics have been added to this course, such as using AI tools like Copilot and Google Colab, to help developers optimize their code. The course covers topics such as Python syntax, object-oriented programming, data management, and working with widely used libraries. The instructor of this course, Naomi Seder, a Python expert and former president of the Python Software Foundation, uses her teaching experience to present concepts in a clear and practical way. This edition has been updated for Python 3.13 and teaches smart techniques for using AI tools like ChatGPT. With interactive exercises, quick questions, and practical examples, this book helps you quickly learn effective coding and implement it in real-world projects.

What you will learn

• Python syntax, data structures, and best practices.
• Object-oriented Python.
• Essential Python libraries.
• Data management.

This course is suitable for people who:

• Beginner to intermediate programmers.
• No prior experience with Python is required.

Course specifications The Quick Python Book, Fourth Edition, Video Edition

• Publisher: Oreilly
• Instructor: Naomi Ceder
• Training level: Beginner to advanced
• Training duration: 13 hours and 55 minutes

Course topics

• Part 1: Starting Out
• Chapter 1: About Python
• What Python does well
• What Python is improving
• Summary
• Chapter 2: Getting Started
• Collaboratory: Jupyter notebooks in the cloud
• Writing and running code in collaborative
• Using help and dir to explore Python
• Using AI tools to write Python code
• Summary
• Chapter 3: The Quick Python Overview
• Built-in data types
• Type hints in Python
• Control flow structures
• Module creation
• Object-oriented programming
• Summary
• Part 2: The Essentials
• Chapter 4: The Absolute Basics
• Differentiating comments
• Variables and assignments
• Optional type hints in Python
• Expressions
• Strings
• Numbers
• The None value
• Getting input from the user
• Built-in operators
• Basic Python style
• Summary
• Chapter 5: Lists, Tuples, and Sets
• List indices
• Modifying lists
• Sorting lists
• Other common list operations
• Nested lists and deep copies
• Tuples
• Sets
• Lab: Examining a list
• Summary
• Chapter 6: Strings
• Basic string operations
• Special characters and escape sequences
• String methods
• Converting objects to strings
• Using the format method
• String interpolation with f-strings
• Formatting strings with %
• Bytes
• Preprocessing text
• Summary
• Chapter 7: Dictionaries
• Other dictionary operations
• Word counting
• What can be used as a key?
• Sparse matrices
• Dictionaries as caches
• Efficiency…
• Other Chapters and Sections
• Chapter 21: Excel Files
• Data cleaning
• Writing data files
• Weather observations
• Summary
• Chapter 22: Data Over the Network
• Fetching data via an API
• Structured data formats
• Scraping web data
• Weather tracking
• Summary
• Chapter 23: Saving Data
• SQLite: Using the sqlite3 database
• Using MySQL, PostgreSQL, and other relational databases
• Making database handling easier with an object relational mapper
• NoSQL databases
• Key-value stores with Redis
• Documents in MongoDB
• Creating a database
• Summary
• Chapter 24: Exploring Data
• Python and pandas
• Data cleaning
• Data aggregation and manipulation
• Plotting data
• Why you might not want to use pandas
• Summary
• Case Study
• Appendix A: Guide to Python’s Documentation
• Best practices: How to become a Pythonista
• PEP 8: Style guide for Python code
• Comments
• The Zen of Python

Course images

Sample course video

Download link

Download Part 1 – 1 GB

Download Part 2 – 0.99 GB

File(s) password: www.downloadly.ir

File size

1.9 GB