计算机进阶 读书目录


From the Bottom Up
This list is in the best reading order I could find. It’s not necessarily easiest to
hardest, but based on subject matter.
• Programming from the Ground Up by Jonathan Bartlett
• Introduction to Algorithms by Thomas H. Cormen, Charles E. Leiserson, and
Ronald L. Rivest
• The Art of Computer Programming by Donald Knuth (3 volume set - volume 1
is the most important)
• Programming Languages by Samuel N. Kamin
• Modern Operating Systems by Andrew Tanenbaum
• Linkers and Loaders by John Levine
• Computer Organization and Design: The Hardware/Software Interface by
David Patterson and John Hennessy

From the Top Down
These books are arranged from the simplest to the hardest. However, they can be
read in any order you feel comfortable with.
• How to Design Programs by Matthias Felleisen, Robert Bruce Findler, Matthew
Flatt, and Shiram Krishnamurthi, available online at http://www.htdp.org/
• Simply Scheme: An Introduction to Computer Science by Brian Harvey and
Matthew Wright
How to Think Like a Computer Scientist: Learning with Python by Allen
Downey, Jeff Elkner, and Chris Meyers, available online at

http://www.greenteapress.com/thinkpython/
• Structure and Interpretation of Computer Programs by Harold Abelson and
Gerald Jay Sussman with Julie Sussman, available online at
http://mitpress.mit.edu/sicp/
• Design Patterns by Erich Gamma, Richard Helm, Ralph Johnson, and John
Vlissides
• What not How: The Rules Approach to Application Development by Chris Date
• The Algorithm Design Manual by Steve Skiena
• Programming Language Pragmatics by Michael Scott
• Essentials of Programming Languages by Daniel P. Friedman, Mitchell Wand,
and Christopher T. Haynes

From the Middle Out

Each of these is the best book on its subject. If you need to know these languages,
these will tell you all you need to know.
• Programming Perl by Larry Wall, Tom Christiansen, and Jon Orwant
• Common LISP: The Language by Guy R. Steele
• ANSI Common LISP by Paul Graham

• The C Programming Language by Brian W. Kernighan and Dennis M. Ritchie
235
Chapter 13. Moving On from Here
• The Waite Group’s C Primer Plus by Stephen Prata
• The C++ Programming Language by Bjarne Stroustrup
• Thinking in Java by Bruce Eckel, available online at
http://www.mindview.net/Books/TIJ/
• The Scheme Programming Language by Kent Dybvig
• Linux Assembly Language Programming by Bob Neveln

Specialized Topics
These books are the best books that cover their topic. They are thorough and
authoritative. To get a broad base of knowledge, you should read several outside of
the areas you normally program in.
Practical Programming - Programming Pearls and More Programming Pearls
by Jon Louis Bentley
Databases - Understanding Relational Databases by Fabian Pascal
• Project Management - The Mythical Man-Month by Fred P. Brooks
• UNIX Programming - The Art of UNIX Programming by Eric S. Raymond,
available online at http://www.catb.org/~esr/writings/taoup/
• UNIX Programming - Advanced Programming in the UNIX Environment by W.
Richard Stevens
Network Programming - UNIX Network Programming (2 volumes) by W.
Richard Stevens
• Generic Programming - Modern C++ Design by Andrei Alexandrescu

• Compilers - The Art of Compiler Design: Theory and Practice by Thomas
Pittman and James Peters
236
Chapter 13. Moving On from Here
• Compilers - Advanced Compiler Design and Implementation by Steven
Muchnick
Development Process - Refactoring: Improving the Design of Existing Code by
Martin Fowler, Kent Beck, John Brant, William Opdyke, and Don Roberts

Typesetting - Computers and Typesetting (5 volumes) by Donald Knuth
• Cryptography - Applied Cryptography by Bruce Schneier

• Linux - Professional Linux Programming by Neil Matthew, Richard Stones, and
14 other people
• Linux Kernel - Linux Device Drivers by Alessandro Rubini and Jonathan Corbet
Open Source Programming - The Cathedral and the Bazaar: Musings on Linux
and Open Source by an Accidental Revolutionary
by Eric S. Raymond
• Computer Architecture - Computer Architecture: A Quantitative Approach by
David Patterson and John Hennessy


资源下载链接为: https://pan.quark.cn/s/22ca96b7bd39 在当今的软件开发领域,自动化构建与发布是提升开发效率和项目质量的关键环节。Jenkins Pipeline作为一种强大的自动化工具,能够有效助力Java项目的快速构建、测试及部署。本文将详细介绍如何利用Jenkins Pipeline实现Java项目的自动化构建与发布。 Jenkins Pipeline简介 Jenkins Pipeline是运行在Jenkins上的一套工作流框架,它将原本分散在单个或多个节点上独立运行的任务串联起来,实现复杂流程的编排与可视化。它是Jenkins 2.X的核心特性之一,推动了Jenkins从持续集成(CI)向持续交付(CD)及DevOps的转变。 创建Pipeline项目 要使用Jenkins Pipeline自动化构建发布Java项目,首先需要创建Pipeline项目。具体步骤如下: 登录Jenkins,点击“新建项”,选择“Pipeline”。 输入项目名称和描述,点击“确定”。 在Pipeline脚本中定义项目字典、发版脚本和预发布脚本。 编写Pipeline脚本 Pipeline脚本是Jenkins Pipeline的核心,用于定义自动化构建和发布的流程。以下是一个简单的Pipeline脚本示例: 在上述脚本中,定义了四个阶段:Checkout、Build、Push package和Deploy/Rollback。每个阶段都可以根据实际需求进行配置和调整。 通过Jenkins Pipeline自动化构建发布Java项目,可以显著提升开发效率和项目质量。借助Pipeline,我们能够轻松实现自动化构建、测试和部署,从而提高项目的整体质量和可靠性。
评论
添加红包

请填写红包祝福语或标题

红包个数最小为10个

红包金额最低5元

当前余额3.43前往充值 >
需支付:10.00
成就一亿技术人!
领取后你会自动成为博主和红包主的粉丝 规则
hope_wisdom
发出的红包
实付
使用余额支付
点击重新获取
扫码支付
钱包余额 0

抵扣说明:

1.余额是钱包充值的虚拟货币,按照1:1的比例进行支付金额的抵扣。
2.余额无法直接购买下载,可以购买VIP、付费专栏及课程。

余额充值