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But it was also expensive and required more memory chips to operate, and Atari management didn't think that expensive computers constituted a viable market.
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There is a vivid discussion about Scala's complexity going on for some weeks now on the web even with a response from Martin Odersky.
I want to throw my 2¢ together with some hopefully new aspects into the discussion.
Scala's liberal syntax rules and compiler magic like type inference and implicit conversions allow nicely written APIs and DSLs almost this web page like prose texts.
I like the differentiation between application and library code Martin Odersky himself makes in Programming Scala.
The frameworks I have tried so far Lift, scalatest and tkinterスロットマシン in Scala make your life this web page easy as long as you just use them.
It is really a breeze and much more fun than using most APIs in Java for example.
This is true at least for a Scala beginner, sometimes perhaps for visit web page pro, too.
Final Thoughts In my opinion Scala is a very nice language that successfully combines clean object oriented programming with functional features.
I am quite sure that a Scala code style and best practices still have to develop.
Programmers will need their time diving into the language and using it for their benefit.
I hope Scala prospers and gains attention in the industry because I personally think it is a nice step forward compared to Java which turns more and more into a mess where you need profound knowledge to fight your problems.
Yang At risk of sounding like a broken record, the topic of this post also sprang from abcBridge.
John Launchbury asked a question during my presentation that got me thinking about API design in Haskell.
By the way, the video for the talk is out!
Unfortunately, the second half had to be cut out due to technical difficulties, but you can still check out the slides.
Here is a thought experiment: I could imagine myself having a purely functional data structure that is describing the data structure.
What does it even mean for an API to be Haskelly?
Why does the purely functional interface seem morally better than the imperative interface?
It's a question of philosophical import as well as practical import—why do we prefer the functional interface which might require a more complex underlying implementation?
Even allowing for self-serving reporting the FBI would obviously find it useful to inflate the threat of crime, if only to justify their budget requeststhat's a lot of money being pumped down a rat-hole.
I'm compiling a little list, of architectural sins of the founders between 1945 and 1990, more or less that have bequeathed us the current mess.
They're fundamental design errors in our computing architectures; their emergent side-effects have permitted the current wave of computer crime to happen.
Von Neumann architectures are simpler and cheaper, hence were more popular for about the first forty or fifty years of the computing revolution.
They're also more flexible.
Allowing data and executable code to share the same address space allows for self-modifying code and for execution of data as code — sometimes these are useful, but they're horrible security holes insofar as it permits code injection attacks to happen.
There have been some recent moves by the likes of Intel in their more recent architecture iterations to permit chunks of memory to be locked to one function or the other, thus reducing the risk of code injection attacks — but it's too little, and much too late.
A null character ASCII 0 denotes the end of a string a block of adjacent memory cells containing one character of data each in the C programming language's memory management cough, choke system.
What if you want to write a string containing ASCII 0, or read or write beyond a null?
C will let you.
C will not only let you shoot yourself in the foot, it will hand you a new magazine when you run out of bullets.
Overwriting the end of a string or array with some code and then tricking an application into moving its execution pointer to that code is one of the classic ways of tricking a Von Neumann architecture into doing something naughty.
By enforcing bounds checking, we can make it much harder to scribble over restricted chunks of memory.
Because ASCII NUL is a single byte, and a pointer needs to be at least two bytes 16 bits to be any use.
Unless you want short strings, limited to 256 bytes.
Each string in C was thus a byte shorter than a pointer-delimited string, saving, ooh, hundreds or thousands of bytes of memory on those early 1970s UNIX machines.
To those who might carp that C isn't really used much any more, I should reply that a yes it is, and go here what do you think C++ is compiled to, before it's fed back to ゲーム現実バーチャル compiler to produce object code?
BASIC doesn't suit my needs and other languages will start from std.
I am trying to choose some other good programming languages.
I know this question is silly Desktop Application Programming and Web app design are my main goals.
I don't want to learn many languages one by one and then choose one.
I just want to stick to one or two.
I don't want to go learning languages one by one.
Which of these fit my goal?
Which languages are good for database programming and which languages can be interpreted click the following article both an active and inactive internet connection?
Also list good books,ebooks and tutorials for those languages Python is usually a recommended programming language for beginners.
It's syntax is easy to get a grip on, and it has built-in libraries for everything you can imagine, including GUI libraries, which should be handy when you want to focus on desktop development.
Again, just as an example to show how easy it can be to run a simple web app, the following code in CherryPy will start a simple "hello world" web server: import cherrypy class HelloWorld object : def index self : return "Hello World!
Do not focus on languages, but on Programming Paradigms.
After you've learned a language that conforms to a paradigm, a little effort is required to learn another language that conforms to the same paradigm and it will consists in learning the syntax properly, some library etc at the depth level you'd like.
Programming is about solving problems, and you can do this with different approaches, and each approach supports different paradigms and each language can conform to multiple paradigms.
I'd suggest to start with C or Python as Imperative Programming languages and then you can move to the Object Oriented Paradigm using Python as well.
The imperative paradigm https://games-bonus-top-list.site/2/2272.html one of the simplest to learn since it conforms to the Operational approach, the one most used by humans to solve problems everyday and reflects how the machines work at lower levelsthe object oriented one will be easier to understand.
You say that BASIC does not suit your needs, I recognize that it is not so good and maybe learning it at school bothers you but you shall define your goals more programmatically : P And learning more than one language in sequence based on needs is far better than stick to those learned at once forever, you might excellent グロブナーカジノヘルプ consider like the teacher who is trying to make BASIC enter your life Well for desktop development, C++ with Qt is a good choice.
Python is a good second choice.
If you are designing a web application that works with databases, like MySQL, go with something like PHP.
Python is definitely the choice for a first language when you want to do desktop or console programming.
It's well-structured and it has lots of things built in, including a pretty decent set of GUI features.
Web Applications result in a lot more controversy, and it depends to some extent what you want tkinterスロットマシン do.
PHP is in more places on the web than probably any other language anymore, due in large part to the popularity gained in the late '90s and early 2000s.
So if you want a job in web development, it's good to know your way around PHP.
In a couple years, the answers may change.
So in answer to your question, it's less about picking a particular language and more about learning first what a computer programming language can do for you, and second what are the commonalities and differences among them, and third how to select a language given a task.
The very worst thing for a programmer is to know only one language.
But the second worst thing is early exposure to BASIC -- at least in it's classic form with line numbers, goto statements, and a distinct lack of structuring capacity like user-definable functions.
Still, Python is a good start.
Learn it, and it will make your BASIC better.
Match strData ; if match.
These days you often hear term Modern Perl, as something new ishand much improved over the old ways.
But what is it exactly?
Well, there's no proper definition, but here is what that term means to me: It's a set of tools, ideas and attitudes that help you to write better Perl programs, and allows you to have more fun while writing them.
Lexical file handles make things safer and easier too.
The source is stored in a version control system anyway, so low-quality changes or vandalism can simply be reverted but that doesn't happen often in practice.
Here I'd like to add a summary, which raises some questions.
All comments are welcome.
According to my understanding, -CURRENT is for development and it's fine to expose new pieces of work there but now I'm in doubt about that because of complaining people.
On the other hand, an earlier version of BSD grep has been in the ports tree for a very long time and users reported some problems, which have been fixed but still, there is a lot of bugs there which haven't been reported that time.
If users don't volunteer to test new pieces of code on a volunteer basis, somehow we have to make them test it, so I think committing BSD grep to -CURRENT was a good decision in the first round.
This is another reason to let such pieces of work in.
But unfortunately, this means that noone profiled another utilities because these bottlenecks remained undiscovered.
It's a lesson that we have to learn from this particular case.
yes スパイダーマンゲーム無料プレイ topic has been also raised on another list that our end-user documentation isn't that shiny and cool that it used to be and actually, developers-handbook has never been "finished" to be more or less complete.
If someone looks at it, it looks like a sketch, not a book.
I'll see if I can write a section on profiling.
From the comments, it seems there's no such in the open source world.
GNU libregex isn't efficient because GNU grep uses those workarounds that Mike kindly pointed out.
Oniguruma was extremely slow when I checked it.
PCRE supports Perl-style syntax with a POSIX-like API but not POSIX regex.
Google RE2 is the same with additional egrep syntax but doesn't have support for standard POSIX regexes.
Plan 9 regex only supports egrep syntax.
It seems that TRE is the best choice.
It is BSD-licensed, supports wchar and POSIX ish regexes and it is quite fast.
I don't know the theoretical background of regex engines but I'm wondering if it's possible top provide an alternative API with byte-counted buffers and use the heuristical speedup with fixed string matching.
As Mike pointed out the POSIX API is quite limiting because it works on NUL-terminated strings and not on byte-counted buffers, so we couldn't just do it with a POSIX-conformant library but it would be nice if we could implement it in such a library アンドロイド用麻雀ギャンブルゲーム無料ダウンロード an alternative interface.
The first ten rows of the triangle, at least.
It only used simple features of Perl 6, such as scalars, nested arrays, and for loops.
In fact, with a bit of manual array allocation, it could have been a C script.
That's OK; there's a tolerance in the Perl community of writing code that looks like it was thunk in some other language.
But I've heard that Perl 6 is great at doing things with operators.
They're just shown here to make your eyes accustomed to reading this construct.
Perl 6 has a lighter construct, namely a "pointy block" also known as a "closure" or a "lambda".
It doesn't participate in the call stack, and it's slightly easier to write.
Seed with one element.
Calculate the next element based on the previous one.
Stop at some point.
But that's exactly what the series operator does.
The one that's written with three dots.
We have a starting value, a way to get from one value to the next our code block aboveand a stopping value.
Well actually, we don't have the stopping value.
But that's OK, since the series operator is lazy.
So if we only request the first 10 values, it won't loop forever giving us the rest of the list.
Copyright C 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010 Free Software Foundation, Inc.
This file is part of the GNU C Library.
Contributed by Isamu Hasegawa.
NMATCH, PMATCH, and EFLAGS have the same mingings with regexec.
Note: We assume front end functions already check ranges.
This may be done with varying efficiency, so there are various possibilities: only the most common of them are specialized, in order to save on code size.
We use a switch statement for speed.
In our example that leads to 0+1, 1+2, 2+1, 1+0 or 1, 3, 3, 1.
For Python, I made the same choice because there are some interesting applications of the modulo operation where the sign of a is uninteresting.
Consider taking a POSIX timestamp seconds since the start of 1970 and turning it into the time of day.
But click to see more we were to express times before 1970 using negative numbers, the "truncate towards zero" rule would give a meaningless result!
Using the floor rule it all works out fine.
I'm sure there are more.
So why doesn't C do it this way?
Probably the hardware didn't do this at the time C was designed.
And the hardware probably didn't do it this way because in the oldest hardware, negative numbers were represented as "sign + magnitude" rather than the two's complement representation used these days at least for integers.
My first computer was a Control Data mainframe and it used one's complement for integers as well as floats.
A pattern of 60 ones meant negative zero!
Tim Peters, who knows where all Python's floating point skeletons are buried, has expressed some worry about my desire to extend these rules to floating point modulo.
He's probably right; the truncate-towards-negative-infinity rule can cause precision loss for x%1.
But that's a totally separate story; see PEP 238.
It will be heavily used on my site, so any weird edge cases can totally wreak havoc.
The idea is to type in an amount of an ingredient in a recipe in whole units or fractions.
Due to my autocomplete mechanism, just a number is valid too since it'll pop up a dropdown.
Everything after the numeric part should be a second group.
After scratching my head a bit, I determined this was because of the ordering of my "OR" clause.
Here's my questions: 1.
Can the expression be improved?
I kinda don't like the "OR" list for number, fraction, compound fraction but I couldn't think of a way to allow whole numbers, fractions, or compound fractions.
It would be extra nice if I could return a group for each word after the numeric component.
There can be any number of words after.
Oh oops, missed one more case.
The amount can be expressed in decimal.
I would still keep your decimal separate with an OR clause since it's likely to complicate things.
Do you really need to restrict what gets entered.
I've seen recipes that call for a pinch of salt and a handful of sultanas.
I personally think you may be being to restrictive in what you'll allow.
I would have a free-form field for quantity and a drop-down tkinterスロットマシン food-type actually I would probably just allow free-form for the lot unless I was offering the ability to search for recipes based on what's in the fridge.
GNU grep also unrolls the inner loop of Boyer-Moore, and sets up the Boyer-Moore delta table entries in such a way that it doesn't need to do the loop exit test at every unrolled step.
The result of this is that, in the limit, GNU grep averages fewer than 3 x86 instructions executed for each input byte it actually looks at and it skips many bytes entirely.
We do this iteratively because: a the line may contain more than one occurence of the pattern, and b Several alternatives in the pattern might be valid at a given point, and we may need to consider a shorter one to find a word boundary.
Extract it from the trie.
Boy that's easy compared to CW.
We carefully avoid ever producing an out-of-bounds pointer.
The common case of regexps used in the "grep" utility visit web page, for obvious reasons, universal in the "fgrep" utility is fixed-length search strings.
Even non-fixed-length regexps typically consist of one one or two variable-length parts.
Matching a completely variable-length regexp is just hard, computationally, so it's OK for it to be slower.
You just have to remember that a matched newline isn't part of the result.
The GNU regexp library also uses the Boyer-Moore or is it Boyer-Moore-Gosper?
I know perl pretty well but more importantly I don't know lisp very well at all.
I've done a little elisp hacking, but not source />I certainly don't know how all of the pieces fit together quite yet.
This first post is really more about getting the fundamental data structure and list-manipulation routines and the reader down.
Later posts will elaborate on eval and friends, as well as closures, scoping, and perl interop.
This is some sort of object that has two slots for other objects, be they primitives or other cons cells.
This is due entirely to historical precident: car is the first element in the pair, cdr is the second.
The overload allows us to use a Cell in a boolean context.
We return the reference to the singleton from the nil function.
We just return the atom t.
Now, the good stuff.
The list function is a pure convenience thing to make setting up singly-linked lists easy.
Functions also defines some functions that will be used later, as well as some things that can walk lists and trees made from cons cells and do something with them.
Have you written a lisp before?
Have any tips for me?
I am also a FreeBSD user, although I live on -stable and older and rarely pay attention to -current.
However, while searching the -current mailing list for an unrelated reason, Click stumbled across some flamage regarding BSD grep vs GNU grep performance.
You may have noticed that discussion too.
Anyway, just FYI, here's a quick summary of where GNU grep gets its speed.
Hopefully you can carry these ideas over to BSD grep.
GNU grep uses the well-known Boyer-Moore algorithm, which looks first for the final letter of the target string, and uses a lookup table to tell it how far ahead it can skip in the input whenever it finds a non-matching character.
Avoid copying the input bytes before searching them.
The normal grep scenario is that the amount of output is small compared to the amount of input, so the overhead of output buffer copying is small, while savings due to avoiding many small unbuffered writes can be large.
The key to making programs fast is to make them do practically nothing.
This is a ridiculously quick and language-agnostic description of traits and how they work.
Much of the background is simply ignored and it's taken for granted that you understand the conceptual problems with inheritance both single and multiple.
First, the core problem with inheritance as commonly used is that it tends to tightly couple class responsibility with code reuse.
A Person class is likely responsible for the person's name and birthdate.
The fact that it has save and update methods is likely a convenience.
However, many find it convenient.
In fact, it's convenient enough that.
We don't know and don't care how バイキング年齢スロット saved, but it's a good bet that most of those items are not related by inheritance aside from a base "Object" or "UNIVERSAL" class, or whatever your language of choice uses.
Behaviours which unrelated classes might implement are tkinterスロットマシン referred tkinterスロットマシン as "cross-cutting concerns" because many classes, regardless of their relation to each other, might want to implement them.
For example, I used to be the administrative coordinator for a luxury furniture company.
However, 25% of my time, I was also their only software developer it was my first 回転ホイールランダム名ピッカー job.
How might this be modelled?
} So far nothing looks too unusual.
We've inherited from the two jobs I had.
What happened, though, if I finished all of my office paper work and had 50% of my time left over for programming?
Simply put: I had to stand there and twiddle my thumbs because I was paid a higher hourly rate when programming I don't believe this was legal, but I 最も人気のあるゲーム the programming experience and thus wasn't allowed to exceed 25% of my time working as a programmer.
Thus, both OfficeGrunt and Programmer might have their own salary methods.
Which one gets called?
That could be a compile-time error due to ambiguity Eiffel does this and I recommend looking at how it worksa runtime error, or it might simply call the salary method from OfficeGrunt because visit web page the one you've inherited from first.
The order of those terms does not matter.
This is what "declarative" code is about; it makes a declaration and the order in which it declares things does not matter.
We'll start calling them roles because the term "trait" is rather overloaded in the programming world.
Roles should allow you to exclude conflicting methods.
Let's say that company policy requires that a person always get paid the highest salary amongst their several roles.
In this case, we can rename them.
There is also no ambiguity present.
There is, unfortunately, a bootstrapping problem with roles.
On at least one Smalltalk project mailing list, I saw the lead developers veto using roles traits because other people were not using them.
Surprisingly, it's the Perl community which has embraced them wholeheartedly.
We use them extensively at the BBC on the PIPs project.
PIPs is the central metadata repository for the BBC and as you might imagine for the world's largest broadcaster, there's a huge codebase managing the metadata.
Almost all of this code is in Perl and we started using roles in an attempt to simplify our code.
We use them extensively at the BBC on the PIPs project.
PIPs is the central metadata repository for the BBC and as you might imagine for the world's largest broadcaster, there's a huge codebase managing the metadata.
Almost all of this code is in Perl and we started using roles in an attempt to simplify our code.
Aside from the "nobody uses them" argument one which will erode with timeothers argue that the problems which roles address may not be real.
I've heard this multiple times and I don't understand it.
First, working on large-scale code bases tends to magnify problems which might not even be noticed in small projects.
Second, even the briefest of internet searches reveal plenty of problems with people trying to shoehorn everything into some inheritance model and dealing with the resultant bugs.
Of course, the fact that there's been forty years of arguing over how to implement inheritance properly even single inheritance!
Though there's a strong formal background behind them, they are very easy to use and once understood, map very cleanly to developer's understanding of their task at hand.
Unfortunately, it's very much a "chicken and egg" problem on encouraging wider adoption of them.
If they're available in your programming language of choice, I encourage you to start using them on smaller, less critical projects to better understand how they can make your projects easier to understand and manage.
Quora On a meta-note, a great way to get into the general concept of functional programming is to dabble in several languages so that the abstract patters come into the foreground.
Answer Summary Many people think Haskell is the best language for getting into functional programming.
The community is good and it takes functional programming "to its logical conclusion.
There are plenty of books, an active IRC channel and excellent mailing lists.
If you want to dip your little toe in the FP waters, Scala and OCaml or F offer a gentler way to approach FP.
Clojure is also an excellent choice and has the best concurrency primitives around.
If you're doing it for the purpose of learning, get thee to Haskell.
It takes the paradigm to its logical conclusion.
I found Haskell very frustrating at first.
I think my mistake was spending too much time writing code.
I've gotten more as a newbie from reading good Haskell than writing my own bad Haskell; the blog entries written by engineers from Galois Inc.
This is frustrating too, at first, until you have the "Haskell Experience": that once your program compiles, it works.
Sure, you might have reversed the operands to division somewhere, but those are the sorts of bugs that are left; no more bugs of the form, "Oh, you have to sandwich calls to snark.
It challenges my preconceptions about where bugs come from, and how much automated tools can help; for instance, SQL injection attacks are compile errors in reasonable Haskell programs, because user-input strings are of a different type than SQL queries.
I am still a journeyman at Haskell, but I am amazed that it is simultaneously among the most concise, beautiful, and high-performing languages.
It shows that large improvements in software notation are possible.
I write Haskell 14 hours per day, but I think Scheme is the best place to start.
Scheme is a good place to become comfortable with higher-order programming without having to think about type classes, monads, and strictness annotations.
If you're an experienced programmer, it may seem elementary tkinterスロットマシン first, but it will get interesting if you stick with it.
After that, go learn Standard ML for the module system and Visit web page for the purity.
Haskell and OCaml are great languages, but they introduce a lot more than functional programming.
I'd also say "learn Haskell right after Scheme" is another great recommendation and I've yet to execute on that myself I went off to Common Lisp, OCaml, Scala and a bit of Clojure.
I'm wihon, a science undergrad from the UK.


GUI with Python's Tkinter, by Robert Jomar Malate


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私は本当に奇妙なことが起こると円の中を走っています。基本的に私はPyQt5 python3.3 cx_freeze4.3.2で簡単なウィンドウアプリを試しています。問題はpythonを呼び出すのに最適です。python test.py 2番目の部分はcx_freezeへの基本的.


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Total 10 comments.