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  • side effect gotchas in python/numpy? horror stories and narrow escapes wanted

    - by shabbychef
    I am considering moving from Matlab to Python/numpy for data analysis and numerical simulations. I have used Matlab (and SML-NJ) for years, and am very comfortable in the functional environment without side effects (barring I/O), but am a little reluctant about the side effects in Python. Can people share their favorite gotchas regarding side effects, and if possible, how they got around them? As an example, I was a bit surprised when I tried the following code in Python: lofls = [[]] * 4 #an accident waiting to happen! lofls[0].append(7) #not what I was expecting... print lofls #gives [[7], [7], [7], [7]] #instead, I should have done this (I think) lofls = [[] for x in range(4)] lofls[0].append(7) #only appends to the first list print lofls #gives [[7], [], [], []] thanks in advance

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  • Does MATLAB perform tail call optimization?

    - by Shea Levy
    I've recently learned Haskell, and am trying to carry the pure functional style over to my other code when possible. An important aspect of this is treating all variables as immutable, i.e. constants. In order to do so, many computations that would be implemented using loops in an imperative style have to be performed using recursion, which typically incurs a memory penalty due to the allocation a new stack frame for each function call. In the special case of a tail call (where the return value of a called function is immediately returned to the callee's caller), however, this penalty can be bypassed by a process called tail call optimization (in one method, this can be done by essentially replacing a call with a jmp after setting up the stack properly). Does MATLAB perform TCO by default, or is there a way to tell it to?

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  • How to learn Haskell

    - by anderstornvig
    For a few days I've tried to wrap my head around the functional programming paradigm in Haskell. I've done this by reading tutorials and watching screencasts, but nothing really seems to stick. Now, in learning various imperative/OO languages (like C, Java, PHP), excercises have been a good way for me to go. But since I don't really know what Haskell is capable of and because there are many new concepts to utilize, I haven't known where to start. So, how did you learn Haskell? What made you really "break the ice"? Also, any good ideas for beginning excercises?

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  • Is there a programming language that performs currying when named parameters are omitted?

    - by Adam Gent
    Many functional programming languages have support for curried parameters. To support currying functions the parameters to the function are essentially a tuple where the last parameter can be omitted making a new function requiring a smaller tuple. I'm thinking of designing a language that always uses records (aka named parameters) for function parameters. Thus simple math functions in my make believe language would be: add { left : num, right : num } = ... minus { left : num, right : num } = .. You can pass in any record to those functions so long as they have those two named parameters (they can have more just "left" and "right"). If they have only one of the named parameter it creates a new function: minus5 :: { left : num } -> num minus5 = minus { right : 5 } I borrow some of haskell's notation for above. Has any one seen a language that does this?

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  • Must a Language that Implements Monads be Statically Typed?

    - by Morgan Cheng
    I am learning functional programming style. From this link http://channel9.msdn.com/shows/Going+Deep/Brian-Beckman-Dont-fear-the-Monads/, Brian Beckman gave a brilliant introduction about Monad. He mentioned that Monad is about composition of functions so as to address complexity. A Monad includes a unit function that transfers type T to an amplified type M(T); and a Bind function that, given function from T to M(U), transforms type M(T) to another type M(U). (U can be T, but is not necessarily). In my understanding, the language implementing monad should be type-checked statically. Otherwise, type errors cannot be found during compilation and "Complexity" is not controlled. Is my understanding correct?

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  • What are the advantages of learning Go?

    - by Pangea
    What is so unique about Go? Over the 11 years of my career I've learnt Pascal, C, C++, COBOL and then Java. I always felt that going from C to C++ to Java was a incremental and value added progression. Now I see a proliferation of functional programming languages and I understand the benefit of learning few of them (like actors in scala etc). Now I was going through the Go programming language and was wondering why would I want to learn this? Is this going to simplify how I have been writing the code? What are its use cases? How can I make a case to promote it in my team? What is the next programming language that a Java team that builds business applications like us can benefit from? Appreciate your comments on this.

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  • Function Composition in C++

    - by Channel72
    There are a lot of impressive Boost libraries such as Boost.Lambda or Boost.Phoenix which go a long way towards making C++ into a truly functional language. But is there a straightforward way to create a composite function from any 2 or more arbitrary functions or functors? If I have: int f(int x) and int g(int x), I want to do something like f . g which would statically generate a new function object equivalent to f(g(x)). This seems to be possible through various techniques, such as those discussed here. Certainly, you can chain calls to boost::lambda::bind to create a composite functor. But is there anything in Boost which easily allows you to take any 2 or more functions or function objects and combine them to create a single composite functor, similar to how you would do it in a language like Haskell?

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  • tools for testing vim plugins

    - by intuited
    I'm looking for some tools for testing vim scripts. Either vim scripts that do unit/functional testing, or classes for some other library (eg Python's unittest module) that make it convenient to run vim with parameters that cause it to do some tests on its environment, and determine from the output whether or not a given test passed. I'm aware of a couple of vim scripts that do unit testing, but they're sort of vaguely documented and may or may not actually be useful: vim-unit: purports "To provide vim scripts with a simple unit testing framework and tools" first and only version (v0.1) was released in 2004 documentation doesn't mention whether or not it works reliably, other than to state that it is "fare [sic] from finished". unit-test.vim: This one also seems pretty experimental, and may not be particularly reliable. May have been abandoned or back-shelved: last commit was in 2009-11 ( 6 months ago) No tagged revisions have been created (ie no releases) So information from people who are using one of those two existent modules, and/or links to other, more clearly usable, options, are very welcome.

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  • Why not speed up testing by using function dependency graph?

    - by Maltrap
    It seems logical to me that if you have a dependency graph of your source code (tree showing call stack of all functions in your code base) you should be able to save a tremendous amount of time doing functional and integration tests after each release. Essentially you will be able to tell the testers exactly what functionality to test as the rest of the features remain unchanged from a source code point of view. If for instance you change a spelling mistake in once piece of the code, there is no reason to run through your whole test script again "just in case" you introduced a critical bug. My question, why are dependency trees not used in software engineering and if you use them, how do you maintain them? What tools are available that generate these trees for C# .NET, C++ and C source code?

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  • How to do concurrent modification testing for grails application

    - by werner5471
    I'd like to run tests that simulate users modifying certain data at the same time for a grails application. Are there any plug-ins / tools / mechanisms I can use to do this efficiently? They don't have to be grails specific. It should be possible to fire multiple actions in parallel. I'd prefer to run the tests on functional level (so far I'm using Selenium for other tests) to see the results from the user perspective. Of course this can be done in addition to integration testing if you'd recommend to run concurrent modification tests on integration level as well.

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  • implementing type inference

    - by deepblue
    well I see some interesting discussions here about static vs. dynamic typing I generally prefer static typing, due to compile type checking, better documented code,etc. However I do agree that they do clutter up the code if done the way Java does it, for example. so Im about to start building a language of my own and type inference is one of the things that I want to implement, in a functional style language... I do understand that it is a big subject, and Im not trying to create something that has not been done before, just basic inferencing... any pointers on what to read up that will help me with this? preferably something more pragmatic/practical as oppose to more theoretical category theory/type theory texts. If there's a implementation discussion text out here, with data structures/algorithms, that would just be lovely much appreciated

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  • Avoiding explicit recursion in Haskell

    - by Travis Brown
    The following simple function applies a given monadic function iteratively until it hits a Nothing, at which point it returns the last non-Nothing value. It does what I need, and I understand how it works. lastJustM :: (Monad m) => (a -> m (Maybe a)) -> a -> m a lastJustM g x = g x >>= maybe (return x) (lastJustM g) As part of my self-education in Haskell I'm trying to avoid explicit recursion (or at least understand how to) whenever I can. It seems like there should be a simple non-explicitly recursive solution in this case, but I'm having trouble figuring it out. I don't want something like a monadic version of takeWhile, since it could be expensive to collect all the pre-Nothing values, and I don't care about them anyway. I checked Hoogle for the signature and nothing shows up. The m (Maybe a) bit makes me think a monad transformer might be useful here, but I don't really have the intuitions I'd need to come up with the details (yet). It's probably either embarrassingly easy to do this or embarrassingly easy to see why it can't or shouldn't be done, but this wouldn't be the first time I've used self-embarrassment as a pedagogical strategy. Background: Here's a simplified working example for context: suppose we're interested in random walks in the unit square, but we only care about points of exit. We have the following step function: randomStep :: (Floating a, Ord a, Random a) => a -> (a, a) -> State StdGen (Maybe (a, a)) randomStep s (x, y) = do (a, gen') <- randomR (0, 2 * pi) <$> get put gen' let (x', y') = (x + s * cos a, y + s * sin a) if x' < 0 || x' > 1 || y' < 0 || y' > 1 then return Nothing else return $ Just (x', y') Something like evalState (lastJustM (randomStep 0.01) (0.5, 0.5)) <$> newStdGen will give us a new data point.

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  • Is there a way of providing a final transform method when chaining operations (like map reduce) in underscore.js?

    - by latentflip
    (Really strugging to title this question, so if anyone has suggestions feel free.) Say I wanted to do an operation like: take an array [1,2,3] multiply each element by 2 (map): [2,4,6] add the elements together (reduce): 12 multiply the result by 10: 120 I can do this pretty cleanly in underscore using chaining, like so: arr = [1,2,3] map = (el) -> 2*el reduce = (s,n) -> s+n out = (r) -> 10*r reduced = _.chain(arr).map(map).reduce(reduce).value() result = out(reduced) However, it would be even nicer if I could chain the 'out' method too, like this: result = _.chain(arr).map(map).reduce(reduce).out(out).value() Now this would be a fairly simple addition to a library like underscore. But my questions are: Does this 'out' method have a name in functional programming? Does this already exist in underscore (tap comes close, but not quite).

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  • Best solution to wait for all ajax callbacks to be executed

    - by glaz666
    Hi! Imagine we have to sources to be requested by ajax. I want to perform some actions when all callbacks are triggered. How this can be done besides this approach: (function($){ var sources = ['http://source1.com', 'http://source2.com'], guard = 0, someHandler = function() { if (guard != sources.length) { return; } //do some actions }; for (var idx in sources) { $.getJSON(sources[idx], function(){ guard++; someHandler(); }) } })(jQuery) What I don't like here is that in this case I can't handle response failing (eg. I can't set timeout for response to come) and overall approach (I suppose there should be a way to use more power of functional programming here) Any ideas? Regards!

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  • Experiences teaching or learning map/reduce/etc before recursion?

    - by Jay
    As far as I can see, the usual (and best in my opinion) order for teaching iterting constructs in functional programming with Scheme is to first teach recursion and maybe later get into things like map, reduce and all SRFI-1 procedures. This is probably, I guess, because with recursion the student has everything that's necessary for iterating (and even re-write all of SRFI-1 if he/she wants to do so). Now I was wondering if the opposite approach has ever been tried: use several procedures from SRFI-1 and only when they are not enough (for example, to approximate a function) use recursion. My guess is that the result would not be good, but I'd like to know about any past experiences with this approach.

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  • A good way to look back arbitrary number of items in the Array.Fold in F#

    - by tk
    In the folder function of the Array.Fold operation, i want to look back arbitrary number of items. The only way i can figure out is like this. let aFolder (dataArray, curIdx, result) (dataItem) = let N = numItemsToLookBack(result, dataItem) let recentNitems = dataArray.[curIdx - n .. curIdx - 1] let result = aCalc(result, dataItem, recentNitems ) dataArray, curIdx + 1, result myDataArray | Array.fold aFolder (myDataArray, 0, initResult) As you can see, I passed the whole dataArray and index to the folder function to get the "recentNitems". But this way allows the folder function to access not only preceding data, but also the following data. Is there a better (or more functional) way?

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  • Javascript: best solution to wait for all ajax callbacks to be executed

    - by glaz666
    Hi! Imagine we have to sources to be requested by ajax. I want to perform some actions when all callbacks are triggered. How this can be done besides this approach: (function($){ var sources = ['http://source1.com', 'http://source2.com'], guard = 0, someHandler = function() { if (guard != sources.length) { return; } //do some actions }; for (var idx in sources) { $.getJSON(sources[idx], function(){ guard++; someHandler(); }) } })(jQuery) What I don't like here is that in this case I can't handle response failing (eg. I can't set timeout for response to come) and overall approach (I suppose there should be a way to use more power of functional programming here) Any ideas? Regards!

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  • Which language should I learn to create a sudoku game?

    - by Brandan
    I'd like to learn a new programming language, something besides all the scripting languages I've used for the past many years (Ruby, JavaScript, Perl, PHP, bash). I figured it might be interesting to make a sudoku game since there are plenty of documented algorithms and it only requires fairly simple data structures. It might start out as either a generator or a solver of puzzles, not necessarily both and not necessarily with a GUI. My goal is primarily to learn some new programming concepts beyond MVC and UI design, secondarily for this thing to be pretty fast. Is there a language that particularly shines for these sorts of constraint satisfaction problems? Is it suited to a functional language like Haskell or a highly concurrent language like Erlang (say for solving puzzles much larger than 9 x 9)? Or is this question mostly meaningless?

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  • F# - Function with no arguments?

    - by Rubys
    When thinking in a functional mindset, given that functions are supposed to be pure, one can conclude any function with no arguments is basically just a value. However, reallity gets in the way, and with different inputs, I might not need a certain function, and if that function is computationally expensive, I'd like to not evaluate it if it's not needed. I found a workaround, using let func _ = ... and calling it with func 1 or whatever, but that feels very non-idiomatic and confusing to the reader. This boils down to one question: In F#, Is there a proper way to declare a function with zero arguments, without having it evaluated on declaration?

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  • Is the FoldLeft function available in R?

    - by JSmaga
    Hi, I would like to know if there is an implementation of the foldLeft function (and foldRight?) in R. The language is supposed to be "rather" functional oriented and hence I think there should be something like this, but I could not find it in the documentation. To me, foldLeft function applies on a list and has the following signature: foldLeft[B](z : B)(f : (B, A) => B) : B It is supposed to return the following result: f(... (f(f(z, a0), a1) ...), an) if the list is [a0, a1, ..., an]. (I use the definition of the Scala List API) Does anybody know if such a function exists in R?

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  • Multiplying numbers on horizontal, vertial, and diagonal lines

    - by untwisted
    I'm currently working on a project Euler problem (www.projecteuler.net) for fun but have hit a stumbling block. One of the problem provides a 20x20 grid of numbers and asks for the greatest product of 4 numbers on a straight line. This line can be either horizontal, vertical, or diagonal. Using a procedural language I'd have no problem solving this, but part of my motivation for doing these problems in the first place is to gain more experience and learn more Haskell. As of right now I'm reading in the grid and converting it to a list of list of ints, eg -- [[Int]]. This makes the horizontal multiplication trivial, and by transposing this grid the vertical also becomes trivial. The diagonal is what is giving me trouble. I've thought of a few ways where I could use explicit array slicing or indexing, to get a solution, but it seems overly complicated and hackey. I believe there is probably an elegant, functional solution here, and I'd love to hear what others can come up with.

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  • Installing Lubuntu 14.04.1 fails, upowerd appears to hang

    - by Rantanplan
    On the live-CD session, I tried installing Lubuntu double clicking on the install button on the desktop. Here, the CD starts running but then stops running and nothing happens. Next, I rebooted and tried installing Lubuntu directly from the boot menu screen using forcepae again. After a while, I receive the following error message: The installer encountered an unrecoverable error. A desktop session will now be run so that you may investigate the problem or try installing again. Hitting Enter brings me to the desktop. For what errors should I search? And how? Thanks for some hints! On Lubuntu 12.04: uname -a Linux humboldt 3.2.0-67-generic #101-Ubuntu SMP Tue Jul 15 17:45:51 UTC 2014 i686 i686 i386 GNU/Linux lsb_release -a No LSB modules are available. Distributor ID: Ubuntu Description: Ubuntu 12.04.5 LTS Release: 12.04 Codename: precise upowerd appears to hang: Aug 25 10:53:28 lubuntu kernel: [ 367.920272] INFO: task upowerd:3002 blocked for more than 120 seconds. Aug 25 10:53:28 lubuntu kernel: [ 367.920288] Tainted: G S C 3.13.0-32-generic #57-Ubuntu Aug 25 10:53:28 lubuntu kernel: [ 367.920294] "echo 0 > /proc/sys/kernel/hung_task_timeout_secs" disables this message. Aug 25 10:53:28 lubuntu kernel: [ 367.920300] upowerd D e21f9da0 0 3002 1 0x00000000 Aug 25 10:53:28 lubuntu kernel: [ 367.920314] e21f9dfc 00000086 f5ef7094 e21f9da0 c1050272 c1a8d540 c1920a00 00000000 Aug 25 10:53:28 lubuntu kernel: [ 367.920333] c1a8d540 c1920a00 d9e44da0 f5ef6540 c1129061 00000002 000001c1 0001c37b Aug 25 10:53:28 lubuntu kernel: [ 367.920351] 00000000 00000002 00000000 e2276240 00000000 00000040 c12b0ec5 c19975a8 Aug 25 10:53:28 lubuntu kernel: [ 367.920368] Call Trace: Aug 25 10:53:28 lubuntu kernel: [ 367.920389] [<c1050272>] ? kmap_atomic_prot+0x42/0x100 Aug 25 10:53:28 lubuntu kernel: [ 367.920404] [<c1129061>] ? get_page_from_freelist+0x2a1/0x600 Aug 25 10:53:28 lubuntu kernel: [ 367.920417] [<c12b0ec5>] ? process_measurement+0x65/0x240 Aug 25 10:53:28 lubuntu kernel: [ 367.920432] [<c1654c73>] schedule_preempt_disabled+0x23/0x60 Aug 25 10:53:28 lubuntu kernel: [ 367.920443] [<c16565bd>] __mutex_lock_slowpath+0x10d/0x171 Aug 25 10:53:28 lubuntu kernel: [ 367.920454] [<c1655aec>] mutex_lock+0x1c/0x28 Aug 25 10:53:28 lubuntu kernel: [ 367.920478] [<f857223a>] acpi_smbus_transaction+0x48/0x210 [sbshc] Aug 25 10:53:28 lubuntu kernel: [ 367.920489] [<c11858e1>] ? do_last+0x1b1/0xf60 Aug 25 10:53:28 lubuntu kernel: [ 367.920504] [<f857242f>] acpi_smbus_read+0x2d/0x33 [sbshc] Aug 25 10:53:28 lubuntu kernel: [ 367.920520] [<f881e0f1>] acpi_battery_get_state+0x74/0x8b [sbs] Aug 25 10:53:28 lubuntu kernel: [ 367.920535] [<f881e8a9>] acpi_sbs_battery_get_property+0x2a/0x233 [sbs] Aug 25 10:53:28 lubuntu kernel: [ 367.920549] [<c14fa61f>] power_supply_show_property+0x3f/0x240 Aug 25 10:53:28 lubuntu kernel: [ 367.920561] [<c114664f>] ? handle_mm_fault+0x64f/0x8d0 Aug 25 10:53:28 lubuntu kernel: [ 367.920573] [<c14fa5e0>] ? power_supply_store_property+0x60/0x60 Aug 25 10:53:28 lubuntu kernel: [ 367.920586] [<c1407d20>] ? dev_uevent_name+0x30/0x30 Aug 25 10:53:28 lubuntu kernel: [ 367.920597] [<c1407d38>] dev_attr_show+0x18/0x40 Aug 25 10:53:28 lubuntu kernel: [ 367.920608] [<c11dad15>] sysfs_seq_show+0xe5/0x1c0 Aug 25 10:53:28 lubuntu kernel: [ 367.920621] [<c119846e>] seq_read+0xce/0x370 Aug 25 10:53:28 lubuntu kernel: [ 367.920633] [<c11983a0>] ? seq_hlist_next_percpu+0x90/0x90 Aug 25 10:53:28 lubuntu kernel: [ 367.920644] [<c1179238>] vfs_read+0x78/0x140 Aug 25 10:53:28 lubuntu kernel: [ 367.920654] [<c11799a9>] SyS_read+0x49/0x90 Aug 25 10:53:28 lubuntu kernel: [ 367.920667] [<c165efcd>] sysenter_do_call+0x12/0x28 /var/log/installer/debug shows upower related error: Ubiquity 2.18.8 Gtk-Message: Failed to load module "overlay-scrollbar" Gtk-Message: Failed to load module "overlay-scrollbar" ERROR:dbus.proxies:Introspect error on :1.23:/org/freedesktop/UPower: dbus.exceptions.DBusException: org.freedesktop.DBus.Error.NoReply: Did not receive a reply. Possible causes include: the remote application did not send a reply, the message bus security policy blocked the reply, the reply timeout expired, or the network connection was broken. Exception in GTK frontend (invoking crash handler): Traceback (most recent call last): File "/usr/lib/ubiquity/bin/ubiquity", line 636, in <module> main(oem_config) File "/usr/lib/ubiquity/bin/ubiquity", line 622, in main install(query=options.query) File "/usr/lib/ubiquity/bin/ubiquity", line 260, in install wizard = ui.Wizard(distro) File "/usr/lib/ubiquity/ubiquity/frontend/gtk_ui.py", line 290, in __init__ mod.ui = mod.ui_class(mod.controller) File "/usr/lib/ubiquity/plugins/ubi-prepare.py", line 93, in __init__ upower.setup_power_watch(self.prepare_power_source) File "/usr/lib/ubiquity/ubiquity/upower.py", line 21, in setup_power_watch power_state_changed() File "/usr/lib/ubiquity/ubiquity/upower.py", line 18, in power_state_changed not misc.get_prop(upower, UPOWER_PATH, 'OnBattery')) File "/usr/lib/ubiquity/ubiquity/misc.py", line 809, in get_prop return obj.Get(iface, prop, dbus_interface=dbus.PROPERTIES_IFACE) File "/usr/lib/python3/dist-packages/dbus/proxies.py", line 70, in __call__ return self._proxy_method(*args, **keywords) File "/usr/lib/python3/dist-packages/dbus/proxies.py", line 145, in __call__ **keywords) File "/usr/lib/python3/dist-packages/dbus/connection.py", line 651, in call_blocking message, timeout)

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  • Installing Lubuntu 14.04.1 forcepae fails

    - by Rantanplan
    I tried to install Lubuntu 14.04.1 from a CD. First, I chose Try Lubuntu without installing which gave: ERROR: PAE is disabled on this Pentium M (PAE can potentially be enabled with kernel parameter "forcepae" ... Following the description on https://help.ubuntu.com/community/PAE, I used forcepae and tried Try Lubuntu without installing again. That worked fine. dmesg | grep -i pae showed: [ 0.000000] Kernel command line: file=/cdrom/preseed/lubuntu.seed boot=casper initrd=/casper/initrd.lz quiet splash -- forcepae [ 0.008118] PAE forced! On the live-CD session, I tried installing Lubuntu double clicking on the install button on the desktop. Here, the CD starts running but then stops running and nothing happens. Next, I rebooted and tried installing Lubuntu directly from the boot menu screen using forcepae again. After a while, I receive the following error message: The installer encountered an unrecoverable error. A desktop session will now be run so that you may investigate the problem or try installing again. Hitting Enter brings me to the desktop. For what errors should I search? And how? Finally, I rebooted once more and tried Check disc for defects with forcepae option; no errors have been found. Now, I am wondering how to find the error or whether it would be better to follow advice c in https://help.ubuntu.com/community/PAE: "Move the hard disk to a computer on which the processor has PAE capability and PAE flag (that is, almost everything else than a Banias). Install the system as usual but don't add restricted drivers. After the install move the disk back." Thanks for some hints! Perhaps some of the following can help: On Lubuntu 12.04: cat /proc/cpuinfo processor : 0 vendor_id : GenuineIntel cpu family : 6 model : 13 model name : Intel(R) Pentium(R) M processor 1.50GHz stepping : 6 microcode : 0x17 cpu MHz : 600.000 cache size : 2048 KB fdiv_bug : no hlt_bug : no f00f_bug : no coma_bug : no fpu : yes fpu_exception : yes cpuid level : 2 wp : yes flags : fpu vme de pse tsc msr mce cx8 mtrr pge mca cmov clflush dts acpi mmx fxsr sse sse2 ss tm pbe up bts est tm2 bogomips : 1284.76 clflush size : 64 cache_alignment : 64 address sizes : 32 bits physical, 32 bits virtual power management: uname -a Linux humboldt 3.2.0-67-generic #101-Ubuntu SMP Tue Jul 15 17:45:51 UTC 2014 i686 i686 i386 GNU/Linux lsb_release -a No LSB modules are available. Distributor ID: Ubuntu Description: Ubuntu 12.04.5 LTS Release: 12.04 Codename: precise cpuid eax in eax ebx ecx edx 00000000 00000002 756e6547 6c65746e 49656e69 00000001 000006d6 00000816 00000180 afe9f9bf 00000002 02b3b001 000000f0 00000000 2c04307d 80000000 80000004 00000000 00000000 00000000 80000001 00000000 00000000 00000000 00000000 80000002 20202020 20202020 65746e49 2952286c 80000003 6e655020 6d756974 20295228 7270204d 80000004 7365636f 20726f73 30352e31 007a4847 Vendor ID: "GenuineIntel"; CPUID level 2 Intel-specific functions: Version 000006d6: Type 0 - Original OEM Family 6 - Pentium Pro Model 13 - Stepping 6 Reserved 0 Brand index: 22 [not in table] Extended brand string: " Intel(R) Pentium(R) M processor 1.50GHz" CLFLUSH instruction cache line size: 8 Feature flags afe9f9bf: FPU Floating Point Unit VME Virtual 8086 Mode Enhancements DE Debugging Extensions PSE Page Size Extensions TSC Time Stamp Counter MSR Model Specific Registers MCE Machine Check Exception CX8 COMPXCHG8B Instruction SEP Fast System Call MTRR Memory Type Range Registers PGE PTE Global Flag MCA Machine Check Architecture CMOV Conditional Move and Compare Instructions FGPAT Page Attribute Table CLFSH CFLUSH instruction DS Debug store ACPI Thermal Monitor and Clock Ctrl MMX MMX instruction set FXSR Fast FP/MMX Streaming SIMD Extensions save/restore SSE Streaming SIMD Extensions instruction set SSE2 SSE2 extensions SS Self Snoop TM Thermal monitor 31 reserved TLB and cache info: b0: unknown TLB/cache descriptor b3: unknown TLB/cache descriptor 02: Instruction TLB: 4MB pages, 4-way set assoc, 2 entries f0: unknown TLB/cache descriptor 7d: unknown TLB/cache descriptor 30: unknown TLB/cache descriptor 04: Data TLB: 4MB pages, 4-way set assoc, 8 entries 2c: unknown TLB/cache descriptor On Lubuntu 14.04.1 live-CD with forcepae: cat /proc/cpuinfo processor : 0 vendor_id : GenuineIntel cpu family : 6 model : 13 model name : Intel(R) Pentium(R) M processor 1.50GHz stepping : 6 microcode : 0x17 cpu MHz : 600.000 cache size : 2048 KB physical id : 0 siblings : 1 core id : 0 cpu cores : 1 apicid : 0 initial apicid : 0 fdiv_bug : no f00f_bug : no coma_bug : no fpu : yes fpu_exception : yes cpuid level : 2 wp : yes flags : fpu vme de pse tsc msr pae mce cx8 sep mtrr pge mca cmov clflush dts acpi mmx fxsr sse sse2 ss tm pbe bts est tm2 bogomips : 1284.68 clflush size : 64 cache_alignment : 64 address sizes : 36 bits physical, 32 bits virtual power management: uname -a Linux lubuntu 3.13.0-32-generic #57-Ubuntu SMP Tue Jul 15 03:51:12 UTC 2014 i686 i686 i686 GNU/Linux lsb_release -a No LSB modules are available. Distributor ID: Ubuntu Description: Ubuntu 14.04.1 LTS Release: 14.04 Codename: trusty cpuid CPU 0: vendor_id = "GenuineIntel" version information (1/eax): processor type = primary processor (0) family = Intel Pentium Pro/II/III/Celeron/Core/Core 2/Atom, AMD Athlon/Duron, Cyrix M2, VIA C3 (6) model = 0xd (13) stepping id = 0x6 (6) extended family = 0x0 (0) extended model = 0x0 (0) (simple synth) = Intel Pentium M (Dothan B1) / Celeron M (Dothan B1), 90nm miscellaneous (1/ebx): process local APIC physical ID = 0x0 (0) cpu count = 0x0 (0) CLFLUSH line size = 0x8 (8) brand index = 0x16 (22) brand id = 0x16 (22): Intel Pentium M, .13um feature information (1/edx): x87 FPU on chip = true virtual-8086 mode enhancement = true debugging extensions = true page size extensions = true time stamp counter = true RDMSR and WRMSR support = true physical address extensions = false machine check exception = true CMPXCHG8B inst. = true APIC on chip = false SYSENTER and SYSEXIT = true memory type range registers = true PTE global bit = true machine check architecture = true conditional move/compare instruction = true page attribute table = true page size extension = false processor serial number = false CLFLUSH instruction = true debug store = true thermal monitor and clock ctrl = true MMX Technology = true FXSAVE/FXRSTOR = true SSE extensions = true SSE2 extensions = true self snoop = true hyper-threading / multi-core supported = false therm. monitor = true IA64 = false pending break event = true feature information (1/ecx): PNI/SSE3: Prescott New Instructions = false PCLMULDQ instruction = false 64-bit debug store = false MONITOR/MWAIT = false CPL-qualified debug store = false VMX: virtual machine extensions = false SMX: safer mode extensions = false Enhanced Intel SpeedStep Technology = true thermal monitor 2 = true SSSE3 extensions = false context ID: adaptive or shared L1 data = false FMA instruction = false CMPXCHG16B instruction = false xTPR disable = false perfmon and debug = false process context identifiers = false direct cache access = false SSE4.1 extensions = false SSE4.2 extensions = false extended xAPIC support = false MOVBE instruction = false POPCNT instruction = false time stamp counter deadline = false AES instruction = false XSAVE/XSTOR states = false OS-enabled XSAVE/XSTOR = false AVX: advanced vector extensions = false F16C half-precision convert instruction = false RDRAND instruction = false hypervisor guest status = false cache and TLB information (2): 0xb0: instruction TLB: 4K, 4-way, 128 entries 0xb3: data TLB: 4K, 4-way, 128 entries 0x02: instruction TLB: 4M pages, 4-way, 2 entries 0xf0: 64 byte prefetching 0x7d: L2 cache: 2M, 8-way, sectored, 64 byte lines 0x30: L1 cache: 32K, 8-way, 64 byte lines 0x04: data TLB: 4M pages, 4-way, 8 entries 0x2c: L1 data cache: 32K, 8-way, 64 byte lines extended feature flags (0x80000001/edx): SYSCALL and SYSRET instructions = false execution disable = false 1-GB large page support = false RDTSCP = false 64-bit extensions technology available = false Intel feature flags (0x80000001/ecx): LAHF/SAHF supported in 64-bit mode = false LZCNT advanced bit manipulation = false 3DNow! PREFETCH/PREFETCHW instructions = false brand = " Intel(R) Pentium(R) M processor 1.50GHz" (multi-processing synth): none (multi-processing method): Intel leaf 1 (synth) = Intel Pentium M (Dothan B1), 90nm

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  • Renewed as MVP

    - by Sahil Malik
    Ad:: SharePoint 2007 Training in .NET 3.5 technologies (more information). It is with great humbleness and honor that I accept Microsoft’s MVP award for 2010. This will be my .. I forget how many years, as an MVP. So suffice to say, I was a lot younger when I first got the MVP award, but also the excitement never dies. Don’t get me wrong, I’m still young, foolish and weird :). (and good looking, might I add) I’d like to share a few things with you on what I have learnt being a part of this very prestigious program that I am so unworthy of. Never aim to be an MVP. Let it be a consequence of what you already are. Always be down to earth, just because you’re an MVP doesn’t mean you’re better than anyone else. The biggest reward of the MVP program, yes much bigger than the free top notch MSDN subscription, is the amazing interaction you will have with other fellow MVPs, and incredibly smart people in the community in general. Get involved in the community, for your own sake! You will learn so much from your peers, it is a very very rewarding experience. Learn, Learn and Learn! Never under estimate the power of knowledge. Both technical and otherwise. I thank each one of you for all the attention you have given me over the past many years. And a very special thanks to my MVP lead, Melissa Travers, and my previous MVP lead Rafael Munoz (who isn’t with Microsoft anymore, but I am sure is kicking butt wherever he is). We are truly entering a very very exciting time in the technology space. Both Google and Apple are challenging Microsoft, forcing Microsoft to innovate at a pace like never before. Microsoft is coming out with an incredible amount of good, new and exciting stuff. Windows Mobile 7, Azure, .NET 4.0, Silverlight 4.0, IE9, and of course SharePoint 2010. The level of innovation in the tech industry is simply unprecedented. A truly exciting time for anyone who lives, breathes, sleeps and dreams of technology even when awake! (Like me!) As you know, I’ve been working on my SP2010 book lately. I’m happy to also inform that the book is DONE. WOOHOO!! :). So this means, I’ll have more time to blog, and cause more trouble in general. Once again! THANK YOU! Comment on the article ....

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  • How long would it take to learn Python?

    - by Josh
    Hi all I have decided to take the time out after work to learn Python. Python appeals to me because at work (Web and eLearning Company), I have to follow out very repetitive tasks like delete all these tags, rename all these tasks and even more advanced repetive tasks. Additionally it would be good for me to get an understanding of Python first because of its fairly easy to learn syntax. How long would it take to learn the basics and go through these tutorials on Python (+ the Python tutorial)? I will only be spending 1 hour or so on it in the afternoons. http://openbookproject.net/thinkcs/python/english2e/index.html I have told my piano teacher I would like to take a month of learning piano to do this would this be adequate time? After this I may choose to learn PHP, because that is mainly what we use for web development at work. Thanks Josh

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