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  • New programming jargon you coined?

    - by jdk
    What programming terms have you coined that have taken off in your own circles? (i.e. have heard others repeating it?) It might be within your own team, workplace or garnered greater popularity on the Internet. Define your programming term, word or phrase in bold followed by an explanation, citation and/or usage example so we can use it in appropriate context. This question serves in the spirit of communication among programmers through sharing of terminology with each other, to benefit us by its propagation within our own teams and environments. Please no repeats of common jargon already ingrained in the programming culture like: "kludge", "automagically", "cruft", etc. (unless you coined it). Stealing from the comments: A shared vocabulary is the basis of communication, not just among programmers, Note: This Programming question has been reworded/reorganized to phrase a real question and remove ambiguity, vagueness and rhetorical device. It is not difficult to know what is being asked & question can be reasonably answered (see answers below).

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  • What is your favourite programming-related lolcat picture?

    - by DR
    In the spirit of these questions... http://stackoverflow.com/questions/234075/what-is-your-best-programmer-joke http://stackoverflow.com/questions/354686/programming-related-songs http://stackoverflow.com/questions/517897/anyone-know-any-programming-related-poetry ... I wonder: What is your favourite programming-related lolcat picture? Please add one answer per picture.

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  • Embedded programming books

    - by Velho Kerho
    What embedded programming/design books would you suggest? With embedded I mean near to hardware programming in ASM and C/C++. I'm looking something related to best practices in embedded programming/design. Operation system could be Linux, Real Time Linux or any other RTOS.

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  • Is programming overrated?

    - by aengine
    [Subjective and intended to be a community wiki] I am sorry for such an offensive question: But here are my arguments Most of the progress in "computing" has came from non-programming sources. i.e. People invented faster microprocessors and better routers and novel memory devices. I dont think on average people are writting more efficient programs than those written 10 years ago. And the newer and popular languages are infact slower than C. though speed is one of the lesser criterias. Most of the progress came from novel paradigms. Web, Internet, Cloud computing and Social networking are novel paradigms and did not involve progress in programming as such. Heck even facebook was written in PHP and not some extreme language. Though it did face scalability issues (same with twitter) but i believe money and better programmers (who came in much later) took care of that. Thus ideating capability trumped programming capability/ Even things like Map-Reduce, Column oriented database and Probablistic algorithms (E.g. bloom filters) came from hardcore Algorithms research, rather than some programming convention. Thus my final point is why programming skill is so overstressed? To point a recent example about how only 10% of programmers can "write code" (binary search) without debugging. Isnt it a bit hypocritical, considering your real successs lies in coming up with better algorithm or a novel feature rather than getting right first time???

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  • GNU/Emacs for gtk+ programming

    - by sterh
    Hello, I want to start C/gtk+ programming in GNU/Emacs. Where can i find manual, how to configure GNU/Emacs for C and gtk+ programming. I want to make GNU/Emacs IDE for gtk+ programming Thank you.

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  • Recommendations for technical (programming) podcasts or audio books?

    - by David Pfeffer
    I'd like to do some professional development during my commute, but I find that reading programming texts on the bus and train cause nausia because of how much I have to focus on them. I'd like to find some good technical programming audio books, either free or for purchase/download and some good technical podcasts. What are the best programming audio books or podcasts out there, and where can they be found?

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  • Asp.net or flash programming please help

    - by hugasuga
    Hi friends I am new to Programming.During last year I learned flash programming as well as Asp.net I am good at both. But i am confused about choosing asp.net or flash programming As per career which one will get me good salary and which one will me more secure Please help me on this with reasoning which one i should choose

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  • Problems to make programming more interesting for school students [closed]

    - by Jomoos
    I have to teach Java programming to school students and all are around the age of 15. None of them had any previous experience in programming. That is, I have to start from the very basics. I do like to make the sessions more interesting, and to make them love programming. I do need simple problems or puzzles -- not complex ones, simple ones -- that can increase their curiosity, and made them think and love programming. I do like to have problems for all of the concepts (like branching, looping, encapsulation, inheritance, composition, etc.,). Notes: I do have a time-frame of 1 hour for each session. Computers are not available. Maybe I can bring my laptop and show a demo to them. There are 7 students in the class.

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  • NSPredicate as a constraint solver?

    - by Felixyz
    I'm working on a project which includes some slightly more complex dynamic layout of interface elements than what I'm used to. I always feel stupid writing complex code that checks if so-and-so is close to such-and-such and in that case move it x% in some direction, etc. That's just not how programming should be done. Programming should be as declarative as possible! Precisely because what I'm going to do is fairly simple, I thought it would be a good opportunity to try something new, and I thought of using NSPredicate as a simple constraints solver. I've only used NSPredicate for very simple tasks so far, but I know that it capable of much more. Are there any ideas, experiences, examples, warnings, insights that could be useful here? I'll give a very simple example so there will be something concrete to answer. How could I use NSPredicate to solve the following constraints: viewB.xmid = (viewB.leftEdge + viewB.width) / 2 viewB.xmid = max(300, viewA.rightEdge + 20 + viewB.width/2) ("viewB should be horizontally centered on coordinate 300, unless its left edge gets within 20 pixels of viewB's right edge, in which case viewA's left edge should stay fixed at 20 pixels to the right of viewB's right edge and viewA's horizontal center get pushed to the right.") viewA.rightEdge and viewB.width can vary, and those are the 'input variables'. EDIT: Any solution would probably have to use the NSExpression method -(id)expressionValueWithObject:(id)object context:(NSMutableDictionary *)context. This answer is relevant.

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  • Is CUDA, cuBLAS or cuBLAS-XT the right place to start with for machine learning?

    - by Stefan R. Falk
    I am not sure if this is the right forum to post this question - but it surely is no question for stackoverflow. I work on my bachelor thesis and therefore I am implementing a so called Echo-State Network which basically is an artificial neural network that has a large reservoir of randomly initialized neurons and just a few input and output neurons .. but I think we can skip that. The thing is, there is a Python library called Theano which I am using for this implementation. It encapsulates the CUDA API and offers a quiet "comfortable" way to access the power of a NVIDIA graphics card. Since CUDA 6.0 there is a sub-library called cuBLAS (Basic Linear Algebra Subroutines) for LinAlg operations and also a cuBLAS-XT an extention which allows to run calculations on multiple graphics cards. My question at this point is if it would make sense to start using cuBLAS and/or cuBLAS-XT right now since the API is quite complex or rather wait for libraries that will build up on those library (such as Theano does on basic CUDA)? If you think this is the wrong place for this question please tell me which one is, thank you.

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  • How to cross-reference many character encodings with ASCII OR UTFx?

    - by Garet Claborn
    I'm working with a binary structure, the goal of which is to index the significance of specific bits for any character encoding so that we may trigger events while doing specific checks against the profile. Each character encoding scheme has an associated system record. This record's leading value will be a C++ unsigned long long binary value and signifies the length, in bits, of encoded characters. Following the length are three values, each is a bit field of that length. offset_mask - defines the occurrence of non-printable characters within the min,max of print_mask range_mask - defines the occurrence of the most popular 50% of printable characters print_mask - defines the occurrence value of printable characters The structure of profiles has changed from the op of this question. Most likely I will try to factorize or compress these values in the long-term instead of starting out with ranges after reading more. I have to write some of the core functionality for these main reasons. It has to fit into a particular event architecture we are using, Better understanding of character encoding. I'm about to need it. Integrating into non-linear design is excluding many libraries without special hooks. I'm unsure if there is a standard, cross-encoding mechanism for communicating such data already. I'm just starting to look into how chardet might do profiling as suggested by @amon. The Unicode BOM would be easily enough (for my current project) if all encodings were Unicode. Of course ideally, one would like to support all encodings, but I'm not asking about implementation - only the general case. How can these profiles be efficiently populated, to produce a set of bitmasks which we can use to match strings with common characters in multiple languages? If you have any editing suggestions please feel free, I am a lightweight when it comes to localization, which is why I'm trying to reach out to the more experienced. Any caveats you may be able to help with will be appreciated.

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  • How to perform game object smoothing in multiplayer games

    - by spaceOwl
    We're developing an infrastructure to support multiplayer games for our game engine. In simple terms, each client (player) engine sends some pieces of data regarding the relevant game objects at a given time interval. On the receiving end, we step the incoming data to current time (to compensate for latency), followed by a smoothing step (which is the subject of this question). I was wondering how smoothing should be performed ? Currently the algorithm is similar to this: Receive incoming state for an object (position, velocity, acceleration, rotation, custom data like visual properties, etc). Calculate a diff between local object position and the position we have after previous prediction steps. If diff doesn't exceed some threshold value, start a smoothing step: Mark the object's CURRENT POSITION and the TARGET POSITION. Linear interpolate between these values for 0.3 seconds. I wonder if this scheme is any good, or if there is any other common implementation or algorithm that should be used? (For example - should i only smooth out the position? or other values, such as speed, etc) any help will be appreciated.

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  • FP for simulation and modelling

    - by heaptobesquare
    I'm about to start a simulation/modelling project. I already know that OOP is used for this kind of projects. However, studying Haskell made me consider using the FP paradigm for modelling a system of components. Let me elaborate: Let's say I have a component of type A, characterised by a set of data (a parameter like temperature or pressure,a PDE and some boundary conditions,etc.) and a component of type B, characterised by a different set of data(different or same parameter, different PDE and boundary conditions). Let's also assume that the functions/methods that are going to be applied on each component are the same (a Galerkin method for example). If I were to use an OOP approach, I would create two objects that would encapsulate each type's data, the methods for solving the PDE(inheritance would be used here for code reuse) and the solution to the PDE. On the other hand, if I were to use an FP approach, each component would be broken down to data parts and the functions that would act upon the data in order to get the solution for the PDE. This approach seems simpler to me assuming that linear operations on data would be trivial and that the parameters are constant. What if the parameters are not constant(for example, temperature increases suddenly and therefore cannot be immutable)? In OOP, the object's (mutable) state can be used. I know that Haskell has Monads for that. To conclude, would implementing the FP approach be actually simpler,less time consuming and easier to manage (add a different type of component or new method to solve the pde) compared to the OOP one? I come from a C++/Fortran background, plus I'm not a professional programmer, so correct me on anything that I've got wrong.

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  • Graphing perpendicular offsets in a least squares regression plot in R

    - by D W
    I'm interested in making a plot with a least squares regression line and line segments connecting the datapoints to the regression line as illustrated here in the graphic called perpendicular offsets: http://mathworld.wolfram.com/LeastSquaresFitting.html I have the plot and regression line done here: ## Dataset from http://www.apsnet.org/education/advancedplantpath/topics/RModules/doc1/04_Linear_regression.html ## Disease severity as a function of temperature # Response variable, disease severity diseasesev<-c(1.9,3.1,3.3,4.8,5.3,6.1,6.4,7.6,9.8,12.4) # Predictor variable, (Centigrade) temperature<-c(2,1,5,5,20,20,23,10,30,25) ## Fit a linear model for the data and summarize the output from function lm() severity.lm <- lm(diseasesev~temperature,data=severity) # Take a look at the data plot( diseasesev~temperature, data=severity, xlab="Temperature", ylab="% Disease Severity", pch=16 ) abline(severity.lm,lty=1) title(main="Graph of % Disease Severity vs Temperature") Should I use some kind of for loop and segments http://www.iiap.res.in/astrostat/School07/R/html/graphics/html/segments.html to do the perpendicular offsets? Is there a more efficient way? Please provide an example if possible.

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  • How to use Vendor Properties in Multiple Backgrounds?

    - by barraponto
    I want to use multiple backgrounds in css, which are currently supported by Firefox 3.61, Chrome/Safari, supposedly Opera10.5 (doesn't run on gnu/linux). It is working fine, however i would like to use linear-gradients as a background. it works ok for Firefox, doesn't work at all with Chrome, yet i can't figure out how to make it work for both at the same time. any clues? http://snook.ca/archives/html_and_css/multiple-bg-css-gradients came the closest to match what i need, but i couldn't get it to work with chrome yet.

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  • In R draw two lines, with slopes double and half the value of the best fit line

    - by D W
    I have data with a best fit line draw. I need to draw two other lines. One needs to have double the slope and the other need to have half the slope. Later I will use the region to differentially color points outside it as per: http://stackoverflow.com/questions/2687212/conditionally-colour-data-points-outside-of-confidence-bands-in-r Example dataset: ## Dataset from http://www.apsnet.org/education/advancedplantpath/topics/RModules/doc1/04_Linear_regression.html ## Disease severity as a function of temperature # Response variable, disease severity diseasesev<-c(1.9,3.1,3.3,4.8,5.3,6.1,6.4,7.6,9.8,12.4) # Predictor variable, (Centigrade) temperature<-c(2,1,5,5,20,20,23,10,30,25) ## For convenience, the data may be formatted into a dataframe severity <- as.data.frame(cbind(diseasesev,temperature)) ## Fit a linear model for the data and summarize the output from function lm() severity.lm <- lm(diseasesev~temperature,data=severity) # Take a look at the data plot( diseasesev~temperature, data=severity, xlab="Temperature", ylab="% Disease Severity", pch=16, pty="s", xlim=c(0,30), ylim=c(0,30) ) title(main="Graph of % Disease Severity vs Temperature") par(new=TRUE) # don't start a new plot abline(severity.lm, col="blue")

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  • Best tool for writing a Programming Book?

    - by walkthedog
    Well, this is not directly programming related! But a friend of mine wants to write a book about programming. Now he asked me if I knew a good software for this, because Word crashes 10 times a day on his machine, and OpenOffice is just very chunky and slow. Also none of them seem to have any useful support for including Code Listings (examples) with useful syntax highlighting or at least some sort of support for inserting code (i.e. indicating line breaks with arrows that turn around, line numbers, etc). Latex is out of question since it's incredible hard to use and has no really useful feature for including tables. It's a mess. Maybe some IT authors are here who can give some hints what tools they use. That would be great!

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  • "Don't do programming after a few years of starting career". Is this a fair advice?

    - by Muhammad Yasir
    I am a little experienced developer having approximately 5 years experience in PHP and somewhat less in Java, C# and trying to learn some Python nowadays. Since the start of my career as a programmer I have been told every now and then by fellow programmers that programming is suitable for a few early years of a career (most of them take it as 5 years) and that one must change the direction after it. The reason they present include headaches and pressures associated with programming. They also say that programmers are less social and don't usually like to give time to their families, etc. and especially "Oh come on, you can not do programming your entire life!" I am somewhat confused here and need to ask others about it. If I leave programming then what do I do?! I guess teaching may be a good option in this case, but it will require to first earn a PhD degree perhaps. It may also be noteworthy that in my country (Pakistan) the life of a programmer is not very good in that normally they must give 2-3 extra hours in the office to accomplish urgent programming tasks. I have a sense that situation is somewhat similar in other countries and regions as well. Do you think it is fair advice to change career from programming to something else after spending 5 years in this field? UPDATE Oh wow... I never knew people can have 40+ years of experience in this field. I am both excited and amazed seeing that people are doing it since 1971... That means 15 years before my birth! It is nice to be able to talk to such experienced people, we don't get such a chance here in Pakistan.

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  • "Don't do programming after a few years of starting career" Is this a fair advice?

    - by Muhammad Yasir
    I am a little experienced developer having around 5 years experience in PHP and somewhat less in Java, C# and trying to learn some Python now a days. Since the start of my career as a programmer I have been told every now and then by fellow programmers that programming is suitable for a few early years of carrier (most of them take it as 5 years) and that one must change the direction after it. The reason they present is that headaches and pressures associated with programming. They also say that programmers are less social and don't usually like to give time to their families etc. and specially "Oh come on, you can not do programming in your entire life!" I am somewhat confused here and need to ask others about it. If I leave programming then what do I do?! I guess teaching may be a good option in this case but it will require to first earn a PhD degree perhaps. It may also be noteworthy that in my country (Pakistan) the life of a programmer is not very good in that normally they must give 2-3 extra hours in office to accomplish urgent programming tasks. I have a sense that situation is somewhat similar in other countries and regions as well. So the question is, do you think it is a fair advice to change career from programming to something else after spending 5 years in this field? Thanks for sharing thoughts!

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  • Is It Worth It To Learn Experimental Languages

    - by Xander Lamkins
    I'm a young programmer who desires to work in the field someday as a programmer. I know Java, VB.NET and C#. I want to learn a new language (as I programmer, I know that it is valuable to extend what I know - to learn languages that make you think differently). I took a look online to see what languages were common. Everybody knows C and C++ (even those muggles who know so little about computers in general), so I thought, maybe I should push for C. C and C++ are nice but they are old. Things like Haskell and Forth (etc. etc. etc.) are old and have lost their popularity. I'm scared of learning C (or even C++) for this same reason. Java is pretty old as well and is slow because it's run by the JVM and not compiled to native code. I've been a Windows developer for quite a while. I recently started using Java - but only because it was more versatile and spreadable to other places. The problem is that it doesn't look like a very usable language for these reasons: It's most used purpose is for web application and cellphone apps (specifically Android) As far as actual products made with it, the only things that come to mind are Netbeans, Eclipse (hurrah for making and IDE with the language the IDE is for - it's like making a webpage for writing HTML/CSS/Javascript), and Minecraft which happens to be fun but laggy and bipolar as far as computer spec. support. Other than that it's used for servers but heck - I don't only want to make/configure servers. The .NET languages are nice, however: People laugh if I even mention VB.NET or C# in a serious conversation. It isn't cross-platform unless you use MONO (which is still in development and has some improvements to be made). Lacks low level stuff because, like Java with the JVM, it is run/managed by the CLR. My first thought was learning something like C and then using it to springboard into C++ (just to make sure I would have a strong understanding/base), but like I said earlier, it's getting older and older by the minute. What I've Looked Into Fantom looks nice. It's like a nice middleman between my two favorite languages and even lets me publish between the two interchangeably, but, unlike what I want, it compiles to the CLR or JVM (depending on what you publish it to) instead of it being a complete compile. D also looks nice. It seems like a very usable language and from multiple sources it appears to actually be better than C/C++. I would jump right with it, but I'm still unsure of its success because it obviously isn't very mainstream at this point. There are a couple others that looked pretty nice that focused on other things such as Opa with web development and Go by GOOGLE. My Question Is it worth learning these "experimental" languages? I've read other questions that say that if you aren't constantly learning languages and open to all languages that you aren't in the right mindset for programming. I understand this and I still might not quite be getting it, but in truth, if a language isn't going to become mainstream, should I spend my time learning something else? I don't want to learn old (or any going to soon be old) programming languages. I know that many people see this as something important, *but would any of you ever actually consider (assuming you didn't already know) FORTRAN? My goal is to stay current to make sure I'm successful in the future. Disclaimer Yes, I am a young programmer, so I probably made a lot of naive statements in my question. Feel free to correct me on ANYTHING! I have to start learning somewhere so I'm sure a lot of my knowledge is sketchy enough to have caused to incorrect statements or flaws in my thinking. Please leave any feelings you have in the comments.

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  • Is it worth to learn Experimental Languages?

    - by Xander Lamkins
    I'm a young programmer who desires to work in the field someday as a programmer. I know Java, VB.NET and C#. I want to learn a new language (as I programmer, I know that it is valuable to extend what I know - to learn languages that make you think differently). I took a look online to see what languages were common. Everybody knows C and C++ (even those muggles who know so little about computers in general), so I thought, maybe I should push for C. C and C++ are nice but they are old. Things like Haskell and Forth (etc. etc. etc.) are old and have lost their popularity. I'm scared of learning C (or even C++) for this same reason. Java is pretty old as well and is slow because it's run by the JVM and not compiled to native code. I've been a Windows developer for quite a while. I recently started using Java - but only because it was more versatile and spreadable to other places. The problem is that it doesn't look like a very usable language for these reasons: It's most used purpose is for web application and cellphone apps (specifically Android) As far as actual products made with it, the only things that come to mind are Netbeans, Eclipse (hurrah for making and IDE with the language the IDE is for - it's like making a webpage for writing HTML/CSS/Javascript), and Minecraft which happens to be fun but laggy and bipolar as far as computer spec. support. Other than that it's used for servers but heck - I don't only want to make/configure servers. The .NET languages are nice, however: People laugh if I even mention VB.NET or C# in a serious conversation. It isn't cross-platform unless you use MONO (which is still in development and has some improvements to be made). Lacks low level stuff because, like Java with the JVM, it is run/managed by the CLR. My first thought was learning something like C and then using it to springboard into C++ (just to make sure I would have a strong understanding/base), but like I said earlier, it's getting older and older by the minute. What I've Looked Into Fantom looks nice. It's like a nice middleman between my two favorite languages and even lets me publish between the two interchangeably, but, unlike what I want, it compiles to the CLR or JVM (depending on what you publish it to) instead of it being a complete compile. D also looks nice. It seems like a very usable language and from multiple sources it appears to actually be better than C/C++. I would jump right with it, but I'm still unsure of its success because it obviously isn't very mainstream at this point. There are a couple others that looked pretty nice that focused on other things such as Opa with web development and Go by GOOGLE. My Question Is it worth learning these "experimental" languages? I've read other questions that say that if you aren't constantly learning languages and open to all languages that you aren't in the right mindset for programming. I understand this and I still might not quite be getting it, but in truth, if a language isn't going to become mainstream, should I spend my time learning something else? I don't want to learn old (or any going to soon be old) programming languages. I know that many people see this as something important, *but would any of you ever actually consider (assuming you didn't already know) FORTRAN? My goal is to stay current to make sure I'm successful in the future. Disclaimer Yes, I am a young programmer, so I probably made a lot of naive statements in my question. Feel free to correct me on ANYTHING! I have to start learning somewhere so I'm sure a lot of my knowledge is sketchy enough to have caused to incorrect statements or flaws in my thinking. Please leave any feelings you have in the comments.

    Read the article

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