Python Programming: This Book Includes: Python for Beginners – Python for Data Science

A Two-in-One Python Volume for New Coders

Daniel O'Reilly’s Python Programming: This Book Includes brings two practical guides together in one ebook. The first half is built for readers who have never written a line of Python; the second turns toward data science, showing how the same language becomes a tool for working with data.

It’s a natural pairing. Beginners get a structured path into Python without having to switch authors or teaching styles halfway through, while readers curious about data science can see where the fundamentals lead.

Book 1: Python for Beginners

The opening guide, Python for Beginners: A Complete Beginner’s Guide to Learning Python Quickly, starts with the question of why Python is so widely used and how to get a working environment in place. From there, it moves through the core language in a deliberate sequence.

• Choosing a Python version and installing it
• Python basics, data types, and variables
• Basic syntax and operators
• Classes, conditions, and loops
• Strings, functions, and dictionaries
• Working with files

Chapters are ordered so that each concept has room to settle before the next one arrives. That makes the material approachable for self-study, classroom support, or anyone who wants a refresher on Python’s building blocks.

Book 2: Python for Data Science

The second included book, Python for Data Science: The Ultimate Step-by-Step Guide to Learning Python Data Science, shifts from language fundamentals to the data-focused work that has helped Python become a standard in analytics, research, and machine learning. Because the first book supplies the syntax and structure, this section can concentrate on using Python in a data science context.

Readers move from general programming into a more specialised direction, with the step-by-step framing suited to learners who want a guided introduction rather than a scattered collection of tips.

Who Will Get the Most from This Ebook?

This volume is aimed at beginners and near-beginners. If you are starting from zero, the first book provides the on-ramp. If you already know a little Python but want to understand how it is used for data work, the second book offers a logical next step.

It may also suit:

• Students beginning programming or data science courses
• Self-taught learners who prefer a book-length path
• Professionals moving into technical roles
• Hobbyists who want a readable reference for core Python ideas

Why This Pairing Works

Learning Python and learning data science are often treated as separate projects. Here they share one volume, which helps connect syntax to purpose. You are not just memorising loops and functions; you are building toward the kind of code that reads, cleans, and analyses data.

The writing keeps the focus on practical understanding. The beginner’s guide covers the essentials without assuming prior experience, and the data science guide builds on that base with a steady, step-by-step approach.

Add It to Your Digital Shelf

If you want a single ebook that starts with Python fundamentals and then opens the door to data science, this two-book collection is a sensible place to begin. It is available as a digital edition from Digital Delights.