Python Using GPT-5 and Gemini
暫譯: 使用 GPT-5 與 Gemini 的 Python程式設計

Campesato, Oswald

  • 出版商: CRC
  • 出版日期: 2026-12-08
  • 售價: $6,100
  • 貴賓價: 9.5 折 $5,795
  • 語言: 英文
  • 頁數: 398
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 1041347561
  • ISBN-13: 9781041347569
  • 相關分類: Large language model、Python
  • 尚未上市,無法訂購

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商品描述

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.

商品描述(中文翻譯)

《Python Using GPT-5 and Gemini》提供一份實用且與時俱進的指南,將扎實的 Python 程式設計能力,與當今領先大型語言模型(LLM)的實務整合結合起來。本書在教導必要的 Python 技術之餘,也會精確示範如何在日常工作中連接並使用 GPT-5、Google Gemini、Claude、Grok、Perplexity,以及其他 2026 年主要的模型。

讀者將建立 Python 資料結構、推導式(comprehensions)、產生器(generators)、正規表示式(regular expressions)及物件導向程式設計的穩固基礎。接著,本書將深入介紹 GPT-5(包括 GPT-5.4 和 GPT-5.3 Instant)、Gemini 3.1、Claude Mythos 與 Opus 4.6,並提供聊天機器人、工具呼叫(tool calling)、資料分析、圖形生成,以及與 PowerPoint 和 Excel 整合等主題的實用 Python 程式碼範例。

其他章節將探討 LLM 基準測試(benchmarks)、諸如對齊造假(alignment faking)與策畫陰謀(scheming)等欺騙行為、軍事 AI 應用,以及各主要模型之間的比較,讓讀者清楚了解它們各自的優勢與限制。

本書適合具備中階程度的 Python 開發人員、資料科學家、技術專業人士,以及任何希望超越基礎提示工程,並建置能有效結合 Python 與最新一代 LLM 的可投入正式環境應用程式的人士。

作者簡介

Oswald Campesato is a former lecturer at UC Santa Cruz. He has taught Python courses as well as ML/DL/NLP/RL classes.

作者簡介(中文翻譯)

Oswald Campesato 曾任 UC Santa Cruz 講師。他曾教授 Python 課程,以及 ML/DL/NLP/RL 課程。