Python Using GPT-5 and Gemini

Name: Python Using GPT-5 and Gemini
Brand: CRC Press
Price: 115.49 AUD
Availability: PreOrder

By: Oswald Campesato

Write A Review

eText | 8 December 2026 | Edition Number 1

At a Glance

Format
ePUB

eText

$115.49

or 4 interest-free payments of $28.87 with

Available: 8th December 2026

Preorder. Online access available after release.

Why choose an eTextbook?

Instant Access *

Purchase and read your book immediately

Read Aloud

Listen and follow along as Bookshelf reads to you

Study Tools

Built-in study tools like highlights and more

* eTextbooks are not downloadable to your eReader or an app and can be accessed via web browsers only. You must be connected to the internet and have no technical issues with your device or browser that could prevent the eTextbook from operating.

Python Using GPT-5 and Gemini provides a practical, up-to-date guide that combines solid Python programming skills with real-world integration of today's leading large language models (LLMs). This book teaches essential Python techniques while showing readers exactly how to connect and use GPT-5, Google Gemini, Claude, Grok, Perplexity, and other major 2026 models in their daily work.

Readers will gain a strong foundation in Python data structures, comprehensions, generators, regular expressions, and object-oriented programming. This book then moves into detailed coverage of GPT-5 (including GPT-5.4 and GPT-5.3 Instant), Gemini 3.1, Claude Mythos, and Opus 4.6, along with practical Python code samples for chatbots, tool calling, data analysis, graphics generation, and integration with PowerPoint and Excel.

Additional chapters explore LLM benchmarks, deceptive behaviors such as alignment faking and scheming, military AI applications, and comparisons between the major models, giving readers clear insight into their relative strengths and limitations.

This book is written for intermediate Python developers, data scientists, technical professionals, and anyone who wants to move beyond basic prompting and build production-ready applications that effectively combine Python with the latest generation of LLMs.