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  • A step-up from TiddlyWiki that is still 100% portable?

    - by Smandoli
    TiddlyWiki is a great idea, brilliantly implemented. I'm using it as a portable personal "knowledge manager," and these are the prize virtues: It travels on my USB flash memory stick and runs on any computer, regardless of operating system No software installation is needed on the computer (TiddlyWiki merely uses the Internet browser) No Internet connection is needed In terms of data retrieval functionality, it mimics a relational database (use of tags and internal links) Let's say I've got a million words of prose in 4,000 tiddlers (posts). I'm still testing, but it looks like TiddlyWiki gets very slow. Is there an app like TiddlyWiki that keeps all the virtues I listed above, and allows more storage? NOTE: Separation of content and presentation would be ideal. It's nifty that TiddlyWiki has everything in a single HTML document, but it's unhelpful in many ways. I don't care if a directory of assorted docs is needed (SQLite, XML?), as long as it's functionally self-contained.

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  • What are the most common schools of knowledge prevalent in 'great' programmers?

    - by DaveDev
    I asked this question on StackOverflow but it got shot down fairly quickly. It was suggested that I ask it here, so I've copied it from there. Hope that's ok: The question: I think that the 'great' programmers become so mostly from being exposed to and interested in programming from early ages, as well as huge amounts of dedication. Unfortunately I only discovered programming at a later age, and I sometimes feel frustrated with the difficulties I experience in trying to grok some of the more fundamental concepts the 'greats' seem to take for granted.. So my question is in relationt to that, if a 'great' programmer (i.e. top 10%) had to distill his or her knowledge into a few recommendations / books / concepts / suggestions / lessons, what would they be? What does a programmer who's willing to learn need to do to get on the right track towards becoming great? And to be more specific, I don't mean 'what does that person need to do', because the answer is almost invariably, 'practice!'. What I mean is, what does the programmer need to know?

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  • Any open source editor to make video games online without programming knowledge?

    - by chelder
    With Scratch we can create video games online, from its web platform, and publish them on the same web. I could download its source code and use it, as many others already did (see Scratch modifications). Unfortunately, we need programming knowledge to use it. Actually, Scratch is mainly for teaching kids to code. I also found editors like Construct 2, GameSalad Creator and many others (just type on Google: create a video game without programming). With those editors we can create video games without coding. Unfortunately they are neither open source nor web platform. They need to be installed on Windows or Mac. Do you know some editor like Construct 2 or GameSalad Creator but open source and executable from a web server? Maybe some HTML5 game engine can do it?

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  • How much C/C++ knowledge is needed for Objective-C/iPhone development?

    - by BFree
    First, a little background. I'm a .Net developer (C#) and have over 5 years experience in both web development and desktop applications. I've been wanting to look into iPhone development for some time now, but for one reason or another always got side tracked. I finally have a potential project on the horizon, and I'm now going full steam ahead learning this stuff. My question is this: I haven't done any C/C++ programming since my schooling days, I've been living in managed land ever since. How much knowledge if any is needed to be successful as an iOS developer? Obviously memory management is something that I'll have to be conscious about (although with iOS 5 there seems to be something called ARC which should make my life easier), but what else? I'm not just talking about the C API (for example, in order to get the sin of a number, I call the sin() function), that's what Google is for. I'm talking about fundamental C/C++ idioms that the average C# developer is unaware of.

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  • how much knowledge do you need to call yourself a programmer?

    - by nore
    There is a guy who calls himself c/c++ programmer, but what does he actually know? What knowledge about c++ does he have because there are so much to know about c/c++. So he knows the core language? He knows visual c++? He knows how to program with WIN API? He knows how to program in linux with gtk? Network programming? The real question is: What do you need to know, to be called a c/c++ programmer ,because I know c and I really do not feel like I own the power of programming... please illuminate my path.

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  • confluence experiences?

    - by Nickolay
    We're considering moving from trac to Atlassian Confluence as our knowledge base solution. ("We" are a growing IT consulting company, so most users are somewhat technical.) There are many reasons we're looking for an alternative to trac: ACL, better wiki refactoring tools (Move/rename, Delete (retaining history), What links here, Attachments [change tracking], easier way to track changes (i.e. better "timeline" interface), etc.), "templates"/"macros", WYSIWYG/Word integration. Confluence looks to be very nice from the feature list POV. But toying with it for a little I had the impression that its interface may seem somewhat confusing to the new users (and I recently saw a comment to that effect on SO). I hope that can be fixed by installing/creating a simpler skin, though. If you've used Confluence, what are your thoughts on it? Do you agree it's not as easy to use as other software, can anything be done about it? What are its other shortcomings? Would you choose a different wiki if you had another chance? [edit] my own experiences

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  • How to experience gradual improvement of knowledge while a newbie does .NET maintenance programming?

    - by amir
    I started my career as a software developer about 6 months ago. This is my first job, and I am the only developer in this company. I gained .NET knowledge by self study and also by doing some university projects. Our systems have old foundations based on an earlier version of .NET, and I'm starting to feel that I am not improving since I am a maintenance programmer here. Everything is old and my manager is not really taking any chances on gradually improving the software. What is your opinion? What should I do? I am newbie and also work hard to find my way through. There is no other developer, not even a senior one to help me here. I need your advice on my situation. And one last thing, can I get a new job with doing maintenance programming? I mean don't managers say that you do not have the experience of developing a new software from scratch? I feel redundant, what do I do?

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  • What is a good way to quantify C++ knowledge and skill?

    - by LoudNPossiblyRight
    I have only recently started to study (with the hopes of mastering) C++, one because i have started to love it and two because it's a good career/profession move. At the same time i wish to quantify my knowledge and skill so as to set my self apart from those who just throw C/C++ on their resumes and fish. Is there an open, industry and community recognized way of quantifying ones knowledge and skill in C++? I have looked at Brainbench, MS C++ certificates, and other online certification sites which offer to rate you at $50-$200 per test however there doesn't seem to be a standard on how to rate knowledge and skill. It's one thing for MS or Oracle/Sun to have certifications for their products but C++ is a standard, shouldn't there be a standard way or rating one's knowledge and skill there in? Thanks.

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  • Metrics - A little knowledge can be a dangerous thing (or 'Why you're not clever enough to interpret metrics data')

    - by Jason Crease
    At RedGate Software, I work on a .NET obfuscator  called SmartAssembly.  Various features of it use a database to store various things (exception reports, name-mappings, etc.) The user is given the option of using either a SQL-Server database (which requires them to have Microsoft SQL Server), or a Microsoft Access MDB file (which requires nothing). MDB is the default option, but power-users soon switch to using a SQL Server database because it offers better performance and data-sharing. In the fashionable spirit of optimization and metrics, an obvious product-management question is 'Which is the most popular? SQL Server or MDB?' We've collected data about this fact, using our 'Feature-Usage-Reporting' technology (available as part of SmartAssembly) and more recently our 'Application Metrics' technology: Parameter Number of users % of total users Number of sessions Number of usages SQL Server 28 19.0 8115 8115 MDB 114 77.6 1449 1449 (As a disclaimer, please note than SmartAssembly has far more than 132 users . This data is just a selection of one build) So, it would appear that SQL-Server is used by fewer users, but more often. Great. But here's why these numbers are useless to me: Only the original developers understand the data What does a single 'usage' of 'MDB' mean? Does this happen once per run? Once per option change? On clicking the 'Obfuscate Now' button? When running the command-line version or just from the UI version? Each question could skew the data 10-fold either way, and the answers only known by the developer that instrumented the application in the first place. In other words, only the original developer can interpret the data - product-managers cannot interpret the data unaided. Most of the data is from uninterested users About half of people who download and run a free-trial from the internet quit it almost immediately. Only a small fraction use it sufficiently to make informed choices. Since the MDB option is the default one, we don't know how many of those 114 were people CHOOSING to use the MDB, or how many were JUST HAPPENING to use this MDB default for their 20-second trial. This is a problem we see across all our metrics: Are people are using X because it's the default or are they using X because they want to use X? We need to segment the data further - asking what percentage of each percentage meet our criteria for an 'established user' or 'informed user'. You end up spending hours writing sophisticated and dubious SQL queries to segment the data further. Not fun. You can't find out why they used this feature Metrics can answer the when and what, but not the why. Why did people use feature X? If you're anything like me, you often click on random buttons in unfamiliar applications just to explore the feature-set. If we listened uncritically to metrics at RedGate, we would eliminate the most-important and more-complex features which people actually buy the software for, leaving just big buttons on the main page and the About-Box. "Ah, that's interesting!" rather than "Ah, that's actionable!" People do love data. Did you know you eat 1201 chickens in a lifetime? But just 4 cows? Interesting, but useless. Often metrics give you a nice number: '5.8% of users have 3 or more monitors' . But unless the statistic is both SUPRISING and ACTIONABLE, it's useless. Most metrics are collected, reviewed with lots of cooing. and then forgotten. Unless a piece-of-data could change things, it's useless collecting it. People get obsessed with significance levels The first things that lots of people do with this data is do a t-test to get a significance level ("Hey! We know with 99.64% confidence that people prefer SQL Server to MDBs!") Believe me: other causes of error/misinterpretation in your data are FAR more significant than your t-test could ever comprehend. Confirmation bias prevents objectivity If the data appears to match our instinct, we feel satisfied and move on. If it doesn't, we suspect the data and dig deeper, plummeting down a rabbit-hole of segmentation and filtering until we give-up and move-on. Data is only useful if it can change our preconceptions. Do you trust this dodgy data more than your own understanding, knowledge and intelligence?  I don't. There's always multiple plausible ways to interpret/action any data Let's say we segment the above data, and get this data: Post-trial users (i.e. those using a paid version after the 14-day free-trial is over): Parameter Number of users % of total users Number of sessions Number of usages SQL Server 13 9.0 1115 1115 MDB 5 4.2 449 449 Trial users: Parameter Number of users % of total users Number of sessions Number of usages SQL Server 15 10.0 7000 7000 MDB 114 77.6 1000 1000 How do you interpret this data? It's one of: Mostly SQL Server users buy our software. People who can't afford SQL Server tend to be unable to afford or unwilling to buy our software. Therefore, ditch MDB-support. Our MDB support is so poor and buggy that our massive MDB user-base doesn't buy it.  Therefore, spend loads of money improving it, and think about ditching SQL-Server support. People 'graduate' naturally from MDB to SQL Server as they use the software more. Things are fine the way they are. We're marketing the tool wrong. The large number of MDB users represent uninformed downloaders. Tell marketing to aggressively target SQL Server users. To choose an interpretation you need to segment again. And again. And again, and again. Opting-out is correlated with feature-usage Metrics tends to be opt-in. This skews the data even further. Between 5% and 30% of people choose to opt-in to metrics (often called 'customer improvement program' or something like that). Casual trial-users who are uninterested in your product or company are less likely to opt-in. This group is probably also likely to be MDB users. How much does this skew your data by? Who knows? It's not all doom and gloom. There are some things metrics can answer well. Environment facts. How many people have 3 monitors? Have Windows 7? Have .NET 4 installed? Have Japanese Windows? Minor optimizations.  Is the text-box big enough for average user-input? Performance data. How long does our app take to start? How many databases does the average user have on their server? As you can see, questions about who-the-user-is rather than what-the-user-does are easier to answer and action. Conclusion Use SmartAssembly. If not for the metrics (called 'Feature-Usage-Reporting'), then at least for the obfuscation/error-reporting. Data raises more questions than it answers. Questions about environment are the easiest to answer.

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  • How do people know so much about programming?

    - by Luciano
    I see people in this forums with a lot of points, so I assume they know about a lot of different programming stuff. When I was young I knew about basic (commodore) and the turbo pascal (pc). Then in college I learnt about C, memory management, x86 set, loop invariants, graphs, db query optimization, oop, functional, lambda calculus, prolog, concurrency, polymorphism, newton method, simplex, backtracking, dynamic programming, heuristics, np completeness, LR, LALR, neural networks, static & dynamic typing, turing, godel, and more in between. Then in industry I started with Java several years ago and learnt about it, and its variety of frameworks, and also design patterns, architecture patterns, web development, server development, mobile development, tdd, bdd, uml, use cases, bug trackers, process management, people management if you are a tech lead, profiling, security concerns, etc. I started to forget what I learnt in college... And then there is the stuff I don't know yet, like python, .net, perl, JVM stuff like groovy or scala.. Of course Google is a must for rapid documentation access to know if a problem has been solved already and how, and to keep informed about new stuff by blogs and places like this one. It's just too much or I just have a bad memory.. how do you guys manage it?

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  • Deep diving into open source code

    - by Raspar
    When do you feel that it's appropriate/necessary to take deeper dives into the source code of open source tools to gain an understanding of the toolsets that you use? (nHibernate, StructureMap, Rhino Mocks, etc.)

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  • Should Marketing departments have basic HTML skills?

    - by Phil.Wheeler
    Working within an organisation as part of the in-house site development team, a lot of my team's throughput is driven by the colouring-in (marketing) department. It is their responsibility to provide approved content and imagery for the features or enhancements that we include on each iteration of the company site. One thing I've noticed in this job and several previous ones is that the Marketing department is extremely particular about wording and presentation, but has little to no understanding of the actual medium with which they're working - the web. I find that my team is constantly making best guesses for various HTML attributes like image alt text, titles, rel tags, blockquote cite attributes and the like. How reasonable is it to expect that marketing departments have a strong understanding of the purpose of HTML metadata? Should it be the developer's job to remind and inform each time or are marketing departments falling behind the technology they're working with? What could I reasonably expect our marketing department to understand and provide every time with each new work request?

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  • Does the Internet make us less good programmers? [closed]

    - by stagas
    With all the information and code available nowadays on the Internet has that diminished our capability of remembering or learning stuff just because we know they're available somewhere out there, just a Google away or a StackOverflow question away? For example I find myself visiting php.net quite often to check the syntax of the same functions over and over again, not because my memory sucks, but I don't feel like keeping the information in me, since I know I'll find it again on the net. And about StackOverflow, isn't the process of figuring things out on your own supposed to improve your programming skills? If the answers are all just clicks away, do we actually learn something or just keep a pointer in our heads where to search for it again when we need it? Your thoughts are welcome. Hope it doesn't shut down as subjective or anything, the answers would be really interesting ;)

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  • Tracking Useful Information

    - by Steve M
    What do the clever programmers here do to keep track of handy programming tricks and useful information they pick up over their many years of experience? Things like useful compiler arguments, IDE short-cuts, clever code snippets, etc. I sometimes find myself frustrated when looking up something that I used to know a year or two ago. My IE favourites probably represent a good chunk of the Internet in the late 1990s, so clearly that isn't effective (at least for me). Or am I just getting old? So.. what do you do?

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  • On linux, what can cause dlopen to emit SIGFPE?

    - by kdt
    I have a library of dubious origins which is identified by file as a 32 bit executable. However, when I try to dlopen it on a 32 bit CentOS 4.4 machine, dlopen terminates with SIGFPE. Surely if there was something wrong with the format of the binary then dlopen should be handling an error? So the question is: What kinds of problems can cause dlopen to emit SIGFPE?

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  • What Scheme Does Ghuloum Use?

    - by Don Wakefield
    I'm trying to work my way through Compilers: Backend to Frontend (and Back to Front Again) by Abdulaziz Ghuloum. It seems abbreviated from what one would expect in a full course/seminar, so I'm trying to fill in the pieces myself. For instance, I have tried to use his testing framework in the R5RS flavor of DrScheme, but it doesn't seem to like the macro stuff: src/ghuloum/tests/tests-driver.scm:6:4: read: illegal use of open square bracket I've read his intro paper on the course, An Incremental Approach to Compiler Construction, which gives a great overview of the techniques used, and mentions a couple of Schemes with features one might want to implement for 'extra credit', but he doesn't mention the Scheme he uses in the course. Update I'm still digging into the original question (investigating options such as Petit Scheme suggested by Eli below), but found an interesting link relating to Gholoum's work, so I am including it here. [Ikarus Scheme](http://en.wikipedia.org/wiki/Ikarus_(Scheme_implementation)) is the actual implementation of Ghuloum's ideas, and appears to have been part of his Ph.D. work. It's supposed to be one of the first implementations of R6RS. I'm trying to install Ikarus now, but the configure script doesn't want to recognize my system's install of libgmp.so, so my problems are still unresolved. Example The following example seems to work in PLT 2.4.2 running in DrEd using the Pretty Big (require lang/plt-pretty-big) (load "/Users/donaldwakefield/ghuloum/tests/tests-driver.scm") (load "/Users/donaldwakefield/ghuloum/tests/tests-1.1-req.scm") (define (emit-program x) (unless (integer? x) (error "---")) (emit " .text") (emit " .globl scheme_entry") (emit " .type scheme_entry, @function") (emit "scheme_entry:") (emit " movl $~s, %eax" x) (emit " ret") ) Attempting to replace the require directive with #lang scheme results in the error message foo.scm:7:3: expand: unbound identifier in module in: emit which appears to be due to a failure to load tests-driver.scm. Attempting to use #lang r6rs disables the REPL, which I'd really like to use, so I'm going to try to continue with Pretty Big. My thanks to Eli Barzilay for his patient help.

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  • why do we need advanced knowledge of mathematics & physics for programming?

    - by Sumeet
    Guys, I have been very good in mathematics and physics in my schools and colleges. Right now I am a programmer. Even in the colleges I have to engrossed my self into computers and programming things all the time. As I used to like it very much. But I have always felt the lack of advanced mathematics and physics in all the work I have done (Programs). Programming never asked me any advanced mathematics and physics knowledge in what I was very good. It always ask u some optimized loops, and different programming technologies which has never been covered in advanced mathematics and physics. Even at the time of selection in big College , such a kind of advanced knowledge is required. Time by time I got out of touch of all that facts and concepts (advanced mathematics and physics). And now after, 5 years in job I found it hard to resolve Differentiations and integrations from Trigonometry. Which sometimes make me feel like I have wasted time in those concepts because they are never used. (At that time I knew that I am going to be a programmer) If one need to be a programmer why do all this advanced knowledge is required. One can go with elementry knowledge a bit more. You never got to think like scientists and R&D person in your Schols and colleges for being a programmer? Just think and let me know your thoughts. I must be wrong somewhere in what I think , but not able to figure that out..? Regards Sumeet

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  • creating a simulation game, what type of knowledge is needed? [closed]

    - by Jordan
    I am a beginner in game development. As a part of learning and fun, want to create a game in java-script and html5. I am planning a game that we were used to play in childhood, that is "new business"- a monopoly game, in that we used to buy ,rent,sell places and bank we get some money to play and etc. are features. Its just simple ludo like game. So can anyone suggest me from where to start? what will be the designing? Is it possible to create it only in a html5 and java-script.

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  • Is knowledge of hacking mechanisms required for an MMO?

    - by Gabe
    Say I was planning on, in the future (not now! There is alot I need to learn first) looking to participating in a group project that was going to make a massively multiplayer online game (mmo), and my job would be the networking portion. I'm not that familiar with network programming (I've read a very basic book on PHP, MYSQL and I messed around a bit with WAMP). In the course of my studying of PHP and MYSQL, should I look into hacking? Hacking as in port scanning, router hacking, etc. In MMOs people are always trying to cheat, bots and such, but the worst scenario would be having someone hack the databases. This is just my conception of this, I really don't know. I do however understand networking fairly well, like subnetting/ports/IP's (local/global)/etc. In your professional opinion, (If you understand the topic, enlighten me) Should I learn about these things in order to counter the possibility of this happening? Also, out of the things I mentioned (port scanning, router hacking) Is there anything else that pertains to hacking that I should look into? I'm not too familiar with the malicious/Security aspects of Networking. And a note: I'm not some kid trying to learn how to hack. I just want to learn as much as possible before I go to college, and I really need to know if I need to study this or not.

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  • What Precalculus knowledge is required before learning Discrete Math Computer Science topics?

    - by Ein Doofus
    Below I've listed the chapters from a Precalculus book as well as the author recommended Computer Science chapters from a Discrete Mathematics book. Although these chapters are from two specific books on these subjects I believe the topics are generally the same between any Precalc or Discrete Math book. What Precalculus topics should one know before starting these Discrete Math Computer Science topics?: Discrete Mathematics CS Chapters 1.1 Propositional Logic 1.2 Propositional Equivalences 1.3 Predicates and Quantifiers 1.4 Nested Quantifiers 1.5 Rules of Inference 1.6 Introduction to Proofs 1.7 Proof Methods and Strategy 2.1 Sets 2.2 Set Operations 2.3 Functions 2.4 Sequences and Summations 3.1 Algorithms 3.2 The Growths of Functions 3.3 Complexity of Algorithms 3.4 The Integers and Division 3.5 Primes and Greatest Common Divisors 3.6 Integers and Algorithms 3.8 Matrices 4.1 Mathematical Induction 4.2 Strong Induction and Well-Ordering 4.3 Recursive Definitions and Structural Induction 4.4 Recursive Algorithms 4.5 Program Correctness 5.1 The Basics of Counting 5.2 The Pigeonhole Principle 5.3 Permutations and Combinations 5.6 Generating Permutations and Combinations 6.1 An Introduction to Discrete Probability 6.4 Expected Value and Variance 7.1 Recurrence Relations 7.3 Divide-and-Conquer Algorithms and Recurrence Relations 7.5 Inclusion-Exclusion 8.1 Relations and Their Properties 8.2 n-ary Relations and Their Applications 8.3 Representing Relations 8.5 Equivalence Relations 9.1 Graphs and Graph Models 9.2 Graph Terminology and Special Types of Graphs 9.3 Representing Graphs and Graph Isomorphism 9.4 Connectivity 9.5 Euler and Hamilton Ptahs 10.1 Introduction to Trees 10.2 Application of Trees 10.3 Tree Traversal 11.1 Boolean Functions 11.2 Representing Boolean Functions 11.3 Logic Gates 11.4 Minimization of Circuits 12.1 Language and Grammars 12.2 Finite-State Machines with Output 12.3 Finite-State Machines with No Output 12.4 Language Recognition 12.5 Turing Machines Precalculus Chapters R.1 The Real-Number System R.2 Integer Exponents, Scientific Notation, and Order of Operations R.3 Addition, Subtraction, and Multiplication of Polynomials R.4 Factoring R.5 Rational Expressions R.6 Radical Notation and Rational Exponents R.7 The Basics of Equation Solving 1.1 Functions, Graphs, Graphers 1.2 Linear Functions, Slope, and Applications 1.3 Modeling: Data Analysis, Curve Fitting, and Linear Regression 1.4 More on Functions 1.5 Symmetry and Transformations 1.6 Variation and Applications 1.7 Distance, Midpoints, and Circles 2.1 Zeros of Linear Functions and Models 2.2 The Complex Numbers 2.3 Zeros of Quadratic Functions and Models 2.4 Analyzing Graphs of Quadratic Functions 2.5 Modeling: Data Analysis, Curve Fitting, and Quadratic Regression 2.6 Zeros and More Equation Solving 2.7 Solving Inequalities 3.1 Polynomial Functions and Modeling 3.2 Polynomial Division; The Remainder and Factor Theorems 3.3 Theorems about Zeros of Polynomial Functions 3.4 Rational Functions 3.5 Polynomial and Rational Inequalities 4.1 Composite and Inverse Functions 4.2 Exponential Functions and Graphs 4.3 Logarithmic Functions and Graphs 4.4 Properties of Logarithmic Functions 4.5 Solving Exponential and Logarithmic Equations 4.6 Applications and Models: Growth and Decay 5.1 Systems of Equations in Two Variables 5.2 System of Equations in Three Variables 5.3 Matrices and Systems of Equations 5.4 Matrix Operations 5.5 Inverses of Matrices 5.6 System of Inequalities and Linear Programming 5.7 Partial Fractions 6.1 The Parabola 6.2 The Circle and Ellipse 6.3 The Hyperbola 6.4 Nonlinear Systems of Equations

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