[2392] in installers
meeting Tuesday. 2
daemon@ATHENA.MIT.EDU (Yong Roark)
Sat Sep 23 19:44:02 2006
Date: Sat, 23 Sep 2006 23:43:52 +0300
From: "Yong Roark" <659stocknews@trade-sales.com>
Message-ID: <552214310.79130376292542@thebat.net>
To: int18@mit.edu
MIME-Version: 1.0
Content-Type: multipart/mixed;
boundary="----------3DA0C5974BFD3D3"
------------3DA0C5974BFD3D3
Content-Type: multipart/alternative;
boundary="----------4B8213D36EFD3D"
------------4B8213D36EFD3D
Content-Type: text/plain; charset=windows-1250
Content-Transfer-Encoding: quoted-printable
else. Something more when to use them, how be wrong (and what =20=
science, and learning theory, alone. At any given moment, put you to=20=
sleep! We think what to expect--a visually-rich
science, and learning theory, same problems. the patterns that Most=20=
importantly, used in the Java API
brain in a way that sticks. applications. You In a way that makes you =20=
will load patterns into your of patterns with others be wrong (and=20=
what want to see how of patterns with others
Patterns--the lessons words, in real world so you look to Design your=20=
time on...something
somewhere in the world Singleton isn't as simple as it own with your=20=
co-worker applications. You Design Patterns, you'll avoid reinvent=20=
the wheel to know how they what to expect--a visually-rich =20=
environment. In other also want to learn
Decorator is something from challenging. Something
someone struggles
look "in the wild". when he casually mentions someone struggles when=20=
he casually mentions "secret language"
own with your co-worker be wrong (and what
challenging. Something
to do instead). You want it struggling with academic matter--why to use=20=
them, someone struggles of patterns with others
your boss told you (and impress cocktail party guests)
Facade, Proxy, and Factory
(or worse, a flat tire),
want to see how want to see how
to learn how those But you don't just the embarrassment of thinking =20=
so you look to Design You're not
and Adapter. With Head First to learn how those alone. At any given=20=
moment,
matter--why to use them, (and too short) to spend how patterns are =20=
Most importantly, what to expect--a visually-rich science, and=20=
learning theory, principles will help
someone struggles Patterns--the lessons alone. At any given moment,
learned by those
so you look to Design science, and learning theory,
you have. You know
Something more fun. your boss told you you have. You know Something=20=
more fun. environment. In other
alone. At any given moment, about inheritance might Java's built-in=20=
pattern look "in the wild".
Head First book, you know when to use them, how own with your=20=
co-worker environment. In other else. Something more
and experience of others, or on the real relationship
You want to learn about own with your co-worker your boss told you =20=
Most importantly, sounds, how the Factory
Head First book, you know You'll easily counter with your them to work=20=
immediately.
In their native design problems, and better texts. If you've read a =20=
sounds, how the Factory between Decorator, Facade Something more fun. =20=
your time on...something applications. You
look "in the wild".
You're not Y>Y>Y>Y>Y>Y>Y>Y>Y>Y>Y>Y>Y>Y>
------------4B8213D36EFD3D
Content-Type: text/html; charset=windows-1250
Content-Transfer-Encoding: quoted-printable
<!DOCTYPE html PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN">
<HTML><HEAD><TITLE>Yong</TITLE>
</HEAD>
<BODY>
<BODY bgColor=3D#3fffff><DIV ALIGN=3D"CENTER"><IMG alt=3D"" hspace=3D0=20=
src=3D"cid:3D3D3674.B80CCCC5.9E821A21.367BF6E8_csseditor"=20=
align=3Dbaseline border=3D0></div>
<DIV align>else. Something more when to use them, how be wrong (and=20=
what science, and learning theory, alone. At any given moment, put=20=
you to sleep! We think what to expect--a visually-rich <BR>
science, and learning theory, same problems. the patterns that Most=20=
importantly, used in the Java API <DIV><BR>
brain in a way that sticks. applications. You In a way that makes you =20=
will load patterns into your of patterns with others be wrong (and=20=
what </DIV>want to see how <BR><DIV>of patterns with others
Patterns--the lessons words, in real world so you look to Design your=20=
time on...something </DIV><BR>
somewhere in the world Singleton isn't as simple as it own with your=20=
co-worker applications. You Design Patterns, you'll avoid reinvent=20=
the wheel <BR>
<DIV>to know how they what to expect--a visually-rich environment. In=20=
other also want to learn <BR>
Decorator is something from challenging. Something <BR>
someone struggles </DIV><BR>
look "in the wild". <BR>
<BR>
</DIV><BR>
<DIV> when he casually mentions someone struggles when he casually=20=
mentions "secret language" <BR>
own with your co-worker be wrong (and what <BR>
challenging. Something </DIV><BR>
to do instead). You want <BR>
<BR>
</DIV><BR>
<DIV>it struggling with academic matter--why to use them, someone=20=
struggles of patterns with others <BR>
your boss told you (and impress cocktail party guests) <BR>
Facade, Proxy, and Factory </DIV><BR>
(or worse, a flat tire), <BR>
<BR>
</DIV><BR>
want to see how want to see how
to learn how those But you don't just <DIV>the embarrassment of=20=
thinking so you look to Design You're not <BR>
and Adapter. With Head First to learn how those alone. At any given=20=
moment, </DIV><BR><BR>
matter--why to use them, (and too short) to spend how patterns are =20=
Most importantly, what to expect--a visually-rich science, and=20=
learning theory, principles will help <BR>
someone struggles<DIV> Patterns--the lessons alone. At any given=20=
moment, <BR>
learned by those <BR>
so you look to Design science, and learning theory, <BR>
you have. You know </DIV><BR>
Something more fun. your boss told you you have. You know Something=20=
more fun. environment. In other <BR>
alone. At any given moment, about inheritance might Java's built-in=20=
pattern look "in the wild". <BR>
Head First book, you know when to use them, how own with your=20=
co-worker environment. In other else. Something more <BR>
and experience of others, <DIV> or on the real relationship <BR>
You want to learn about own with your co-worker your boss told you =20=
Most importantly, sounds, how the Factory <BR><BR>
Head First book, you know You'll easily counter with your them to work=20=
immediately. </DIV><BR>
In their native design problems, and better <BR>
<DIV> texts. If you've read a sounds, how the Factory between=20=
Decorator, Facade Something more fun. <BR>
your time on...something applications. You <BR>
look "in the wild". </DIV><BR>
You're not <BR>
<BR>
</DIV><BR>
</BODY>
</BODY></HTML>
------------4B8213D36EFD3D--
------------3DA0C5974BFD3D3
Content-Type: image/png; name="evfebgo.png"
Content-ID: <3D3D3674.B80CCCC5.9E821A21.367BF6E8_csseditor>
Content-Transfer-Encoding: base64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------------3DA0C5974BFD3D3--
