最好的书：没有这样的东西，鼓励旧的白骨顶 [英] best book: aint no such thing, and encouragement for old coots

问题描述

我看到很多帖子都在询问最好的Python书籍。在我的

体验中，没有这样的东西，但是有很多好书，

将以不同的方式，在不同的时间帮助你。 />

首先，我想澄清一下我的学习立场：我赞成

adobe hacienda学校的autodidactic技术，以及：br />

"如果你在庄园的侧面扔足够的土坯，其中一些将会坚持

坚持


在某个时候，我已经深入了解各种O''Reilly Python书籍，

格雷森的Python和Tkinter编程，以及克里斯托弗的Python

编程模式。他们都很好，但我需要看到同样困难的

或复杂的东西，在不同的环境中呈现不同的时间来真正得到它b / b
。因此，多本书的多个观点，以及我将不止一次阅读一本单独的书，其中穿插其他

卷。足够的adobe最终坚持我的心灵庄园，这样我就可以用Python完成任务。


现在，对那些考虑过去的老技术人员的一些鼓励进入

管理，编写很酷的软件就足够了：


我在数据处理方面的正规教育已停止使用高级数据结构

返回八十年代，我一直在用各种COBOL，C和专有语言进行熟练编程。当然，我在Dijkstra的结构化编程，DeMarco的

结构化分析，Date的关系数据库和其他类型的东西中合理地保持了当前的价值。

商业软件技术是我的交易股票，但除此之外我还没有避免本周的范例。两年前我遇到了Python大概

而且突然间有OOP，函数式编程，面向方面的

编程和其他我听过的东西但实际上并没有和b $ b一起工作，所有人都从Python书籍页面和

邮件列表中盯着我看。这几乎是一个创造性破坏的过程：

从头开始，但从更高，更清晰的概念角度来看。

当然，我没有我真的忘记了所有其他的东西，我只是把它推到后台足够长的时间，以便从这个新的角度来看待它。总而言之，我想建议进入Python，这是一个相当简单有趣的方式来谈谈谈话和散步吧。它是一个非常有益和令人耳目一新的软件工程更新。

Hi, I see a lot of posts asking about "the best Python book." In my
experience, there is no such thing, but there are a lot of good books that
will help you along in different ways, and at different times.

First of all, I''d like to clarify my position on learning: I subscribe to
the adobe hacienda school of autodidactic technology, to wit:

"If you throw enough adobe at the side of the hacienda, some of it will
stick"

At one time or another, I''ve dipped into the various O''Reilly Python books,
Grayson''s Python and Tkinter Programming, and Christopher''s Python
Programming Patterns. They''re all good, but I need to see the same difficult
or complex thing presented various times in various contexts to really get
comfortable with it. Hence the multiple viewpoints of multiple books, and I
will also read an individual book more than once, interspersed with other
volumes. Enough adobe ends up adhering to my mental hacienda so that I can
accomplish things in Python.

And now, some encouragement for old techies who have considered going into
management with writing cool software is enough:

My formal education in data processing stopped with Advanced Data Structures
back in the eighties, and I coasted along doing journeyman programming in
various COBOLs, Cs and proprietary languages. Of course, I stayed reasonably
current with stuff like Dijkstra''s Structured Programming, DeMarco''s
Structured Analysis, Date''s Relational Database and other flavors of
business software technology which were my stock in trade, but otherwise I
avoided the paradigm of the week. Then I ran into Python about two years ago
and all of a sudden there was OOP, functional programming, aspect-oriented
programming and other stuff that I had maybe heard about but hadn''t actually
worked with, all staring back at me from the pages of Python books and the
mailing list. It''s been pretty much a process of creative destruction:
starting all over, but from a higher and clearer conceptual vantage point.
And, of course, I didn''t really forget all the other stuff, I just pushed it
into the background long enough to get a new appreciation of it from this
new point of view. In summary, I''d like to recommend getting into Python as
a rather easy and fun way to talk the talk and walk the walk nowadays; it''s
been a very rewarding and refreshing software engineering update.

推荐答案

" John本森" < JS ****** @ bensonsystems.com>写道：

"John Benson" <js******@bensonsystems.com> writes:

我看到很多帖子都在询问最好的Python书籍。在我的经历中，没有这样的东西，但是有很多好书会以不同的方式，在不同的时间帮助你。
首先，我想澄清一下我的学习立场：我订阅了adob hacienda学校的autodidactic技术，即：
如果你扔足够的adobe at庄园的一面，其中一些将坚持
在某个时间，我已经深入了解了各种O''Reilly Python书籍，Grayson的Python和Tkinter编程，以及Christopher的Python
编程模式。他们都很好，但我需要看到在各种情况下不同时间呈现的同样困难或复杂的东西才真正让它感到舒服。因此，多本书的多重观点，我也将不止一次阅读一本单独的书，其中穿插其他的书。足够的adobe最终坚持我的心灵庄园，以便我可以用Python完成任务。
现在，对那些考虑通过编写酷炫软件进行管理的老技术人员的一些鼓励就足够了：
我的正式数据处理教育已停止使用高级数据结构
八十年代，我一直在用各种COBOL，C和专有语言编写熟练编程。当然，我合理地使用Dijkstra的结构化编程，DeMarco的
结构化分析，Date的关系数据库和其他商业软件技术的东西。是我的交易股票，但除此之外我还避免了本周的范例。大约两年前我遇到了Python，突然之间出现了OOP，函数式编程，面向方面的编程以及其他我可能听说过但实际上并没有的东西。与...一起工作，所有人都从Python书籍页面和
邮件列表中盯着我看。它几乎是一个创造性破坏的过程：
从头开始，但从更高，更清晰的概念角度来看。
当然，我并没有真正忘记所有其他东西，我只是把它推到背景中足够长的时间，从这个新的角度来看它的全新欣赏。总而言之，我想建议进入Python，这是一个非常简单有趣的方式来谈谈话，现在走路吧;它是一个非常有益和令人耳目一新的软件工程更新。

Hi, I see a lot of posts asking about "the best Python book." In my
experience, there is no such thing, but there are a lot of good books that
will help you along in different ways, and at different times. First of all, I''d like to clarify my position on learning: I subscribe to
the adobe hacienda school of autodidactic technology, to wit: "If you throw enough adobe at the side of the hacienda, some of it will
stick" At one time or another, I''ve dipped into the various O''Reilly Python books,
Grayson''s Python and Tkinter Programming, and Christopher''s Python
Programming Patterns. They''re all good, but I need to see the same difficult
or complex thing presented various times in various contexts to really get
comfortable with it. Hence the multiple viewpoints of multiple books, and I
will also read an individual book more than once, interspersed with other
volumes. Enough adobe ends up adhering to my mental hacienda so that I can
accomplish things in Python. And now, some encouragement for old techies who have considered going into
management with writing cool software is enough: My formal education in data processing stopped with Advanced Data Structures
back in the eighties, and I coasted along doing journeyman programming in
various COBOLs, Cs and proprietary languages. Of course, I stayed reasonably
current with stuff like Dijkstra''s Structured Programming, DeMarco''s
Structured Analysis, Date''s Relational Database and other flavors of
business software technology which were my stock in trade, but otherwise I
avoided the paradigm of the week. Then I ran into Python about two years ago
and all of a sudden there was OOP, functional programming, aspect-oriented
programming and other stuff that I had maybe heard about but hadn''t actually
worked with, all staring back at me from the pages of Python books and the
mailing list. It''s been pretty much a process of creative destruction:
starting all over, but from a higher and clearer conceptual vantage point.
And, of course, I didn''t really forget all the other stuff, I just pushed it
into the background long enough to get a new appreciation of it from this
new point of view. In summary, I''d like to recommend getting into Python as
a rather easy and fun way to talk the talk and walk the walk nowadays; it''s
been a very rewarding and refreshing software engineering update.

下一步是阅读计算机程序的结构和解释

又称SICP并从更清晰的概念优势

点开始重新开始它不能被打败。它甚至可以在网上找到。


Eddie

The next step is to read "Structure and Interpretation of Computer Programs"
aka SICP and start all over again, in terms of "clearer conceptual vantage
point" it just can''t be beat. It''s even availabe online somewhere.

Eddie

| Eddie Corns说|

| Eddie Corns said |

下一步是阅读计算机程序的结构和解释，即又称SICP，并从更清晰的概念优势开始重新开始>点它不能被打败。它甚至可以在某处在线使用。

The next step is to read "Structure and Interpretation of Computer Programs"
aka SICP and start all over again, in terms of "clearer conceptual vantage
point" it just can''t be beat. It''s even availabe online somewhere.

这里：
http://mitpress.mit.edu/sicp/full-text/book/book.html


这是我学习计划的主要原因。
我不会停止听到关于这本书的好消息。


Sam Walters。


-

永远不要忘记万圣节文件。
http://www.opensource.org/halloween/

"""微软今天会把你拖到哪里？

你真的想去那里吗？""

Here:
http://mitpress.mit.edu/sicp/full-text/book/book.html

It''s the major reason I''m learning scheme.
I just don''t stop hearing good things about this book.

Sam Walters.

--
Never forget the halloween documents.
http://www.opensource.org/halloween/
""" Where will Microsoft try to drag you today?
Do you really want to go there?"""

2004年1月16日星期五格林尼治标准时间12:00:27，Samuel Walters

< sw ************* @ yahoo.com>写道：

On Fri, 16 Jan 2004 12:00:27 GMT, Samuel Walters
<sw*************@yahoo.com> wrote:

http://mitpress.mit.edu/sicp/full-text/book/book.html

这是我学习计划的主要原因。<我只是不会停止听到关于这本书的好消息。

http://mitpress.mit.edu/sicp/full-text/book/book.html

It''s the major reason I''m learning scheme.
I just don''t stop hearing good things about this book.

是的，还有一个很好的伴侣卷，也是在线的


如何设计程序

http://www.htdp.org/2001-11-21/Book/

这是一个更实际的日常型计划导师但

强调所有相同的原则。 SICP可能对某些人有吸引力，而不是数学导向

。


但SICP肯定是更多的改变生活。影响。


Alan G.

学习计划网站的作者
http://www.freenetpages.co.uk/hp/alan.gauld

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