舉報 
會員
INSTANT Apple iBooks How-to
Filledwithpractical,step-by-stepinstructionsandclearexplanationsforthemostimportantandusefultasks.Getthejobdoneandlearnasyougo.Writteninastep-by-steptutorialstyle,thisbookshowsyouinsimplestepshowtogetthemostfromyouriBooksexperience.ThisbookisforliterarygeekswhowanttoexploretheAppleiBooksuniverse.FrombuyingbooksfromtheAppleiBookstoretoorganizingbooksandPDFs,thisbookgoesforwardbyexplaininghowtowriteaninteractivebookwithiBooksAuthor.
目錄(25章)
倒序
- coverpage
- Instant Apple iBooks How-to
- Credits
- About the Author
- About the Reviewer
- www.packtpub.com
- Support files eBooks discount offers and more
- Preface
- What this book covers
- What you need for this book
- Who this book is for
- Conventions
- Reader feedback
- Customer support
- Chapter 1. Instant Apple iBooks How-to
- Downloading iBooks from the iTunes store (Must know)
- Browsing and shopping books from the iBookstore (Should know)
- Using reading tools (Should know)
- Making and managing Collections (Should know)
- Adding PDFs to the iBooks library (Should know)
- Publishing your own books with iBooks Author (Should know)
- Exploring iBooks Author templates (Should know)
- Building a London travel guide with iBooks Author (Become an expert)
- Adding HTML widgets and 3D models to your books (Become an expert)
- Troubleshooting common errors (Must know) 更新時間：2021-07-30 17:27:51
推薦閱讀
- 數據庫技術與應用教程（Access）
- 達夢數據庫編程指南
- 計算機信息技術基礎實驗與習題
- Python廣告數據挖掘與分析實戰
- R數據科學實戰：工具詳解與案例分析（鮮讀版）
- Spark核心技術與高級應用
- Microsoft Power BI數據可視化與數據分析
- 從0到1：JavaScript 快速上手
- ZeroMQ
- Lego Mindstorms EV3 Essentials
- 科研統計思維與方法：SPSS實戰
- Hadoop 3實戰指南
- R Machine Learning Essentials
- 商業智能工具應用與數據可視化
- 算法設計與分析
- 數據分析思維：產品經理的成長筆記
- Learn Selenium
- Hadoop大數據技術開發實戰
- Nagios Core Administrators Cookbook
- SQL Server 2012數據庫技術及應用(第4版)
- Access 2013 數據庫管理與應用從新手到高手
- Computer Programming for Absolute Beginners
- 循序漸進Oracle：數據庫管理、優化與備份恢復
- SQL語法與范例詳解詞典
- 業務數智化：從數字化到數智化的體系化解決方案
- Learning Software Testing with Test Studio
- Computer Vision Projects with OpenCV and Python 3
- 企業級數據架構：核心要素、架構模型、數據管理與平臺搭建
- 可視化分析與SAS實現
- 高效自動化測試平臺：設計與開發實戰
