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Term Paper On Variance Analysis - …

Michael C. Term Paper? Vanier: computer programming skills resume. Most of my thesis work involved building realistic computer simulations of the brain (specifically the mammalian olfactory cortex). In the greed, process of term on variance doing this work, I discovered that I really liked programming and I've ended up spending a lot of essay greed time learning new programming languages and programming tools just for fun. I have a particular fondness for unusual programming languages and new programming paradigms, which I guess is why I'm making a living teaching programming now ;-) I've also periodically done part-time jobs to term make extra money, all of which have been programming-related. I describe my computer skills and the jobs I've worked on homework font below. NOTE: Some parts of this document are obsolete and paper on variance analysis, need an term paper overhaul.

What this means in term on variance, practice is that I actually know and have worked on greed more stuff than is in this document, though I try to keep it reasonably up to date. The HTML also needs to be cleaned up. Large programming projects I've worked on. Personal Spider, Inc. During the dot-com boom, I was one of the core programmers in an internet startup company called Personal Spider Inc. (PSI). Term? I'm was also one of the company founders, was on the board of directors, and was the chief science officer. I've done a limited amount of econometrics suggestions management of other programmers as well. Due to paper on variance NDAs, I can't disclose the details of the work I did with PSI, but in mit courses, general it involves building internet tools for on variance analysis, medium-sized web sites.

There was a considerable amount of mit courses pattern-recognition and term paper analysis, language processing work involved as well, which nicely leveraged a lot of the skills I've learned in the course of my work at mit courses, Caltech. The code was entirely in Python. This company failed to secure adequate funding and term, is now defunct. Tspice and homework font, Wedit I worked part-time for 18 months at Tanner Research Inc. as a programmer. On Variance Analysis? While there I worked on several projects, using a combination of C, C++ and Python as programming languages. All of these involved developing tools for simulating VLSI circuits. Most of homework font my work was on Unix platforms, mainly Sun Solaris.

The projects included: Porting two graphically-oriented software packages from Windows to Unix. One package was a circuit-simulation package (Tspice), while the other was a graphical display package for visualizing the outputs of the Tspice program (Wedit). Enhancing the Tspice circuit simulation program so it could work over term paper on variance, a network. This was Unix-specific.

Adding capabilities to the Tspice circuit simulation program; specifically, I modified the program to: support dependent voltage and current sources (VCCS, VCVS, CCCS, CCVS) whose branch characteristic equations were polynomials in the dependent source values. handle impact ionization parameters in a broad class of transistor models. Working on adding algorithms to the Tspice simulation package to make it work on essay greed not pay parallel computers. Gambit I worked for several months with Richard McKelvey in the Department of Humanities and on variance, Social Sciences at Caltech. I'm did a variety of programming jobs involving the Gambit game-theory simulator, which is econometrics term suggestions written in C++. Term? Originally, I was working on homework font building a GUI record/playback system. I built a prototype, but the paper analysis, project money ran out after that. I also ported the gambit GUI to use the wxxt-1.67 implementation of wxWindows for Unix using Xt widgets only (i.e. which doesn't require Motif), and set up a CVS code archive. A database-backed web site This was a prototype for does not pay, a commercial web site that involved collecting form data from individuals, storing the results in a database, computing values based on those results, and returning these results to the user. Term Paper On Variance Analysis? In other words, it was like every other commercial web site on essay does the planet. I used Python, MySQL, PHP, and apache to term paper analysis build the site. Interestingly, the person I worked for on this project turned out to mit courses be dishonest, and he still owes me over $1000 for term paper on variance analysis, the work I did for him.

GNU shogi This is my hobby project. GNU shogi is a program that plays shogi (Japanese chess), and it's part of the GNU project. The program is described in great detail in the link above. C++ I've worked on a couple of medium-to-large projects in C++ (the Wedit program and the Gambit game-theory simulator), mostly on maintaining, porting, and/or extending previously-existing projects. I've also written some neural network simulations in C++. I believe that C++ is better for large projects than C due to its object-oriented features. It's also probably the fastest OO language.

However, it can be difficult to use effectively because of its great complexity. And, as mentioned for C, the paper suggestions, lack of garbage collection discourages you from using many kinds of data structures, although C++ is at least far superior to C in this regard because of term paper destructors. In addition, there are freely-available conservative garbage collectors for C++ such as the Boehm-Demers GC which could in theory make C++ programming much more pleasant (I say in theory because I've never done it in C++, although I have done it in C). One thing I will say about in support of critical, C++ is that, unlike Perl, where the language seems arbitrarily complex for no good reason, the complexity in C++ is an accurate reflection of the kinds of things that are typically done in on variance, the language. Whether a simpler language with equivalent power could be created is an interesting research problem; I find it revealing that C++ is essentially the only language in its design space (object-oriented languages that fully support low-level programming). Modula-3 had some of essay greed not pay C++'s low-level features but never caught on paper (and had much weaker OO support). Java The largest Java program I've written was a prototype neural simulator in Java (as an exploration of the language as a possible future implementation language for GENESIS). This came to about 7000 lines of code. Java is media literacy in support of critical nicer in paper, most ways than C++. It's safer, cleaner, and has very few weird features. Of Critical? Having automatic garbage collection is also a huge win from the programmer's standpoint.

They left out some features of C++ I liked (templates and operator overloading) but there are compilers that support those features too (and the Java standard has already generics, which solve many of the same problems that templates solved, albeit in a completely different way). The main problem with Java is speed: it's about 10-20 times slower than C when run byte-coded, and paper analysis, maybe 1.5-3 times slower when using a JIT (just-in-time compiler). This makes it much less attractive to people like me who do simulations, where you can never have enough speed. On Electronic Waste? However, it is term paper on variance extremely attractive when portability is more important than speed. The Java environment is mit courses also quite nice, and eliminates most of the hassle from doing e.g. portable graphics or network programming. One thing I dislike about Java is its verbosity; code in on variance, Java is media of critical often much longer than equivalent code written in other languages because of the term paper on variance, plethora of mandatory declarations. Python Python is my scripting language of phd thesis management choice. I've written innumerable little data-munging scripts in Python (several thousand lines of code). I've also made a version of the GENESIS neural simulator that used Python as its extension language instead of the standard GENESIS script language. I built a networked version of the Tspice circuit simulation program using Python to term on variance handle the phd thesis on electronic waste management, networking connections between the graphical interface and the computing engine. Paper Analysis? The database-backed web site I worked on mit courses had Python code which generated thousands of on variance lines of mit courses PHP code (!).

The Personal Spider project is paper on variance analysis written entirely in Python. In addition, these web pages are created from template files written in Python. I like Python because it can do everything Perl does, but it's much cleaner in design, is homework font object-oriented, and the code is more readable than in any other computer language I know of. It's also a great extension/embedding language for large software packages. Check out the Python home page for more details.

I worked on a fairly large prototype of a commercial web site involving putting a database up on a web site where PHP was the server-side scripting language. It came to about 10,000 lines of PHP code, of which about half were automatically generated (by Python scripts that I wrote :-)). Term Paper? Server-side scripting languages are a great idea and are essential for this kind of on electronic waste management work. However, PHP is sucks big time as a computer language; in fact, I never want to use it again as long as I live. The way arrays are implemented is particularly hilarious. (Maybe the language has improved now; I don't know.) If I do this kind of work again I'll look into alternatives such as Ruby on Rails or one of the term paper analysis, Python web frameworks, or else write my own web framework. Lisp and Scheme I've done bits and pieces of Lisp and book, Scheme programming (Scheme is a dialect of Lisp) but no very large projects.

I did write a formatter for the C language in Emacs lisp which is about 400 lines long in its current version. I've written a prototype implementation of a computer language in Scheme, but I switched to on variance Ocaml for the final implementation. I've read several books on Lisp and Scheme (e.g. Abelson and Sussman's Structure and Interpretation of Computer Programs and Graham's ANSI Common Lisp and mit courses, On Lisp) and subscribe or have subscribed to several mailing lists for various implementations of Scheme. Finally, I teach Scheme as part of the CS 1 course at Caltech. I like Lisp and Scheme a lot, because they're among the most flexible, powerful and extensible computer languages ever invented (not surprising, considering that they're based on lambda calculus). Lisp is usually thought of as an term paper on variance artificial intelligence (AI) language but it's actually general-purpose; it's just that other languages aren't flexible enough for media in support of critical, AI, so Lisp is used in that domain by default.

Lisp has a prefix syntax which uses lots of parentheses that many people find ugly and hard to term paper on variance understand, but I've found that you get used to it quickly (and I actually prefer it because it's so unambiguous). Also, most people think Lisp is slow, but it's not: several Common Lisp systems have compilers that can produce code which is almost as fast as C ( e.g. Online Editing? within a factor of 2). A good recent example of this is Steel Bank Common Lisp. The reason Lisp and term paper on variance, Scheme are important is that they're virtually the only computer languages that combine the following: full support for both imperative and functional programming (OK, Ocaml also gives you this, but Lisp is more general). macros, which allow you to write code that writes code. These are not like macros in C; Lisp macros operate on the syntactic structure of the code, not just on book the string representation of paper analysis code. Macros are one of the key elements that make it possible to implement support for new programming paradigms ( e.g. object-oriented programming, logic programming) within the language itself. Read Paul Graham's book On Lisp (currently out of print, but downloadable for free) for much more on macros.

I used to be keen on econometrics term paper Guile, a dialect of Scheme designed to be a scripting language, but that project has had a number of paper problems, the most serious of which is a chronic lack of decent documentation. Right now I advocate mzscheme, the Scheme implementation for the Dr. Scheme project. Mzscheme is a beautifully-written version of Scheme which works well as an extension language. In addition, it has great documentation and its developers include some of the foremost names in the Scheme world.

I encourage everyone who is really a serious programmer and who needs a scripting and/or extension language to editing look at mzscheme. Realistically, however, I know that most programmers are incredibly conservative and will never be able to get past Scheme's somewhat odd syntax. Objective CAML (Ocaml) and Standard ML These languages have strong static polymorphic type systems and mainly support functional programming with strict evaluation, although they also support imperative programming. Term Paper On Variance? If you understood that last statement, you probably spend WAY too much time programming :-) These languages are very interesting for serious programmers, and are very pleasant to program in. The largest project I've done in Ocaml so far is an implementation of econometrics term paper a dynamically-typed functional programming language (which I also designed). Paper On Variance Analysis? This language is basically a cross between Forth and Scheme; the Ocaml code came to about 4500 lines of code, which is pretty small for book, a full language implementation. Ocaml, in particular, is so great that it has become one of my languages of term paper on variance choice for new projects. Just look at what it gives you: full support for imperative, functional, and object-oriented programming; amazingly fast execution (often beats C++ on speed tests); strong static polymorphic type-checking (this catches a HUGE number of bugs at compile time); a very powerful type system, which lets you describe the program structurally in terms of its types so that if it passes the type checker it is book editing almost correct by construction; type inference, so you usually don't have to paper on variance analysis declare types; a very efficient generational garbage collector; portable bytecode compilation or fast native-code compilation; a large standard library; a large user base; a powerful module system with functors and separate compilation; language customization using camlp4 (caml pretty-printer and preprocessor); a foreign function interface to C code; and lots more ;-) Ocaml only has two problems.

First, its syntax is idiosyncratic and somewhat grungy, especially for imperative programming. The syntax is also too free-form for my taste (over 100 shift-reduce conflicts in the grammar). Online Book Editing? The other (much more serious) problem is that ocaml totally spoils you; after you get over the (admittedly large) learning curve, programming in C or C++ feels like Chinese water torture and programming in Java or Python feels like playing with children's blocks. On the positive side, you'll probably program five times as fast and spend 1/5 the time debugging as you would in term paper, those languages. Online Book? Ocaml is not a perfect programming language but it's so far ahead of the nearest competitor that it's just incredible.

Incidentally, the CAML in ocaml stands for Categorical Abstract Machine Language; I hope that clears that up ;-) Haskell Ah, Haskell. how do I love thee? Let me count the ways. ;-) Haskell is my new favorite language, even though I recognize that it isn't yet suitable for many tasks. It's the most beautiful computer language I've ever used. It is a pure functional language with lazy evaluation, type classes, and paper analysis, uses monads (an advanced concept that comes from category theory) to handle input/output, state transitions, and mit courses, much more in a purely functional setting. Well-written Haskell code is so concise and elegant it will make you cry. If C code is one step up from assembly language, good Haskell code is one step down from poetry, or from on variance, a beautiful mathematical theorem. Online Book? And one of the term, things I like most about it is of critical that it was two of term analysis my students (Brandon Moore and Aaron Plattner) who were responsible for turning me on to Haskell (being a teacher has its perks). Haskell also has an mit courses incredibly rich and deep literature, a very active user base consisting of some of the smartest programmers in the world, and term on variance, is just a joy to use.

I think the big lesson of Haskell is on electronic compositionality : the ability to take small things and build bigger things out of them. This is term paper analysis much like the component concept you see in large-scale programming, but brought down to the micro-level: every piece of code in Haskell is essentially a black-box component, because the language is completely referentially transparent (that's what purely functional means, after all). I used to think I understood functional programming well when I programmed in Scheme and management, Ocaml, but learning Haskell has shown me that pure functional programming is potentially much more powerful than impure functional programming (which is what Scheme and paper analysis, Ocaml represent). I could go on for pages about how great Haskell is, but instead I'll just point you to the Haskell home page. Forth I've played around with Forth for phd thesis, years and term on variance analysis, have done some simple neural network simulations in it. Forth is a low-level but extensible and interactive threaded-interpreted language which is media thinking mainly used for embedded systems programming due to on variance its low memory usage.

It has an unusual stack-based postfix syntax that is not conducive to writing readable code. It's a lot of phd thesis on electronic waste fun to play with, because you can extend any part of the language (the implementation is completely exposed, for paper analysis, better or for worse), and most of the language is written in itself. It's also fast for an interpreted language. Econometrics Suggestions? However, it's too slow for serious simulation work and term paper on variance, too difficult to use for scripting, so I don't use it anymore, except when I get bored :-) To me, Forth is a fascinating example of homework font a language that is too simple for its own good i.e. it violates Einstein's dictum of make everything as simple as possible, but no simpler. In Forth's case, the excessive simplicity of the parser means that simple grouping operations are unreasonably difficult (unlike in Lisp/Scheme, where the parentheses take care of grouping). I believe there is room for higher-level stack-based languages inspired by Forth and on variance, Lisp, and I even implemented one ;-) That project is currently languishing in the I'll-get-back-to-it-when-I-get-bored category. GENESIS neural simulation system The GENESIS neural simulation system forms a large part of my thesis work. GENESIS includes a simple script language of its own called SLI (which means, imaginatively enough, Script Language Interpreter).

SLI is an atrocious scripting language; it would take pages to phd thesis on electronic waste management describe how awful it is. Term Paper On Variance? However, one virtue of GENESIS as a whole is that you can add new data types and commands to the language fairly easily. Matlab Matlab is the well-known data-analysis and numerical computation program. I've used Matlab for lots of mit courses small data-analysis jobs and (mainly) for graphics. I dislike the Matlab language, which is very poorly designed, but Matlab's numerical routines are very useful and the graphics that Matlab produces are excellent. Mathematica I use Mathematica whenever I have a really gnarly algebra or calculus problem to deal with. Paper On Variance? I like it; it's a lot like Lisp with a nicer interface (although the Mathematica people don't give credit where it's due e.g. to the MacSyma program which predated it). Essay? However, I don't like proprietary software, so I don't use it much. I'd love to see an open-source program of comparable abilities. Unix shells: sh, csh, zsh I've written loads of shell scripts in paper, sh, csh, and on electronic management, zsh (usually sh).

I nearly always switch to Python when the job gets sufficiently big (which usually means over twenty lines long), but shell scripts are great for gluing other programs together. Much of the analysis, data analysis work I've done has involved a combination of shell scripts, Python scripts, and C programs, usually strung together in a long pipeline. make Make is the program used to coordinate a complex series of commands when compiling a program. It took me a while to realize that make is essay not pay a programming language in term analysis, its own right, albeit one very different from the ones I'm used to; it's more like a rule-based AI language such as Prolog. The GENESIS Makefiles are pretty nasty and I've hacked on them extensively. I've also worked on lots of Makefiles for in support, other projects I've been involved in. I use GNU make exclusively; it has some very useful extensions over standard makes.

Perl Perl is a scripting language which combines the power of a lot of Unix tools into one language ( e.g. sh, sed, awk, and paper analysis, some of C). I've written many small throwaway scripts in Perl. The largest thing I did in Perl was a series of mit courses scripts to convert files representing neural morphologies into term paper files representing simpler morphologies that are roughly equivalent. Waste Management? This is an essential part of my thesis work, and was about 2500 line of Perl code. Perl is quite fast for a scripting language, and is good for text and file manipulation, but it's very complex and I loathe its weird context dependencies and its syntax, which is full of term paper analysis funny magic characters and assorted bogosities too numerous to phd thesis management name here. I also hate the fact that there are way too many ways of doing exactly the same thing (or much worse, ALMOST the same thing but not quite). I find that most of the complexity in Perl is totally unnecessary and paper, is mainly the result of bad design choices made early on, in contrast to Python, which has equivalent power but is much easier to learn and use.

I gave up Perl completely as soon as I learned Python, and so should you. Tcl/Tk I've done some simple neural network simulations with a graphical interface in Tcl/Tk. Tcl was the original Unix scripting language, and is quite simple to use. However, I don't use it anymore because Python does everything Tcl/Tk do, it does it better, and it does much more. Put simply, Tcl blows. Fortran Fortran was my first programming language, but I haven't done serious work in it for a long time. Book Editing? It's an term on variance analysis easy language to learn but a pain to media of critical use for anything but number-crunching. Also, it encourages bad programming habits; I like to say that Fortran causes brain damage :-) I believe that early exposure to paper Fortran is the reason so few physicists can write decent programs. Pascal I programmed in Pascal years ago, but I no longer do, because there are much better alternatives. Pascal is clean, simple, very limited, and totally boring.

Javascript The client-side web scripting language. I did a little Javascript hacking for a database-backed web site project. It's pretty straightforward. Eiffel Eiffel is a very nice object-oriented language that could potentially replace C++ or Java for many projects if enough people knew about it. It has a very powerful object system and supports Design by Contract, which is essentially an expanded assertion system that makes it much easier to book make very reliable software. Unfortunately, the paper on variance, compilers I've used produce code which is not nearly as fast as code produced by C/C++ compilers, which rules it out for most of the stuff I'm interested in. Media Of Critical Thinking? In addition, it can't compete with Java for term analysis, the things Java is best at ( e.g. portable graphics). Also, there is only one free implementation that I know of, the term paper suggestions, GNU SmartEiffel compiler (which is term on variance analysis very good).

Eiffel also has some issues involving its type system which requires programs to do whole-program analysis at link time to make sure a program is valid; this makes the language much less attractive in the internet world where dynamic loading of code libraries is a normal part of online book life. Smalltalk SmallTalk was one of the earliest object-oriented languages (not the term, first, though: Simula was the first). It has not really caught on, probably because its syntax is quite odd, but it has had a major influence on newer languages like Java and Python. There is a recent reimplementation called Squeak which is really wonderful, is free software, and is attracting a lot of attention; if you're interested in Smalltalk, you should start there. Although Smalltalk's syntax is odd, it's very consistent, and online book, this makes Smalltalk extremely easy to learn; you could summarize the paper on variance, entire language in one page. That makes sense, since it was originally designed to be a language that children could use. Smalltalk has also been a heavy influence on other languages, notably the econometrics paper suggestions, scripting language Ruby. Analysis? All computer language designers should study Smalltalk carefully; there is greed much to learn from it. Personally, studying Smalltalk gave me a big aha! moment: I never really understood the essence of object-oriented programming until I learned Smalltalk.

Dylan Dylan is essentially a dialect of lisp with optional static typing and term on variance, an infix syntax. If Dylan ever becomes more widely available it could become very popular as a fast scripting language. Definitely worth watching. Ruby Ruby is a scripting language that is suggestions sort of like a cross between Python and Smalltalk, with a dash of Perl thrown in for bad measure. It's more purely object-oriented than Python is, which I like, but it's also more syntactically heavy, which I dislike. Term? If Python didn't exist, Ruby would be my scripting language of mit courses choice. J and APL J is the modern dialect of APL, the famous array-processing language with all the paper, funny characters. J uses ASCII characters only (fortunately) but is still incredibly cryptic.

It's also proprietary, although free versions are available. In the mit courses, right hands, I think J could be a pretty cool data-analysis language. Modula-3 Modula-3 is another object-oriented language descended from Pascal. Paper On Variance Analysis? It's no longer used much, but it was a major influence on Java and Python, so its genes live on :-) To me, one of its coolest features is the econometrics suggestions, notion of an term unsafe module that can perform low-level tasks usually done using C or C++. This gives it much of the power of homework font those languages, but unlike them, Modula-3 is safe by default. The C# language adopted this feature. Prolog Prolog is basically an AI language which operates by term, defining facts and rules for deriving new facts from econometrics, old ones.

I've read one book on Prolog but haven't done any real programming in it. Paper? It looks fascinating, though: it's a whole new paradigm of programming. m4 macro language I used this for setting up the automatic configuration for my hobby project (GNU shogi). It only required about a couple of hundred lines of m4 code, which is just as well; it's pretty nasty. sed, awk These are Unix text-processing mini-languages. I've used them as part of management shell scripts, but don't claim to be an expert in either. Anything awk can do can usually be done better by Python or Perl anyway. Programming languages I've written or worked on.

The GENESIS neural simulator I worked with for my Ph.D. thesis included a home-brew script language imaginatively called SLI (for script language interpreter). I hacked on it a bit, but it was such a poorly designed piece of crap that I lost interest quickly. It served as a useful illustration of how not to design a language. I wrote an interesting scripting language called Tap (named after the fake rock band Spinal Tap). I designed it myself and wrote it entirely from paper on variance, scratch in ocaml. The idea behind Tap was to create a hybrid of Forth and Scheme. It would have a postfix syntax like Forth (which means it has a lexer but no real parser; every token is executed immediately), but would also be a full-fledged functional language like Scheme, with a full environment model, first class functions, yadda yadda. I was interested to see if merging the Forth approach to programming with the Scheme approach would be interesting. And, in fact, it was interesting. Book? Here is some sample Tap code: I learned a lot from working on Tap, even though I don't work on it or use the language any more.

I found that I had to fight the tendency to make the language overly complex, because ocaml made it so easy to make big changes (even stupid ones). Even so, I'm not happy with the on variance analysis, result -- for mit courses, one thing, the internals are too complex for my taste. I also tried too hard to make it Lisp-like, for instance by trying to support things like syntactic macros which don't fit in nicely with a postfix model of computation. Similarly, I tried too hard to term paper on variance make the econometrics suggestions, base syntax user-modifiable. On Variance? In contrast, I neglected vitally important things like modules which do fit in to the model and econometrics term, are essential for any real programming language IMO. Analysis? Also, using ocaml as the implementation language was a mixed blessing. Greed Not Pay? It certainly improved my skill with the language, it gives you garbage collection for paper, free, and it's generally a joy to work with, but it's too restrictive in some ways. Term? For instance, you can't have native-code shared libraries, which is a huge lose for a scripting language.

Perhaps the term paper on variance analysis, biggest mistake I made with Tap is that I didn't have an application area defined before I started working on it. In Support Thinking? It's usually a good idea to have a specific application or set of applications to guide the language design. Picoforth is a Forth dialect (much more so than Tap, which was merely inspired by Forth). It preserves the things I liked about Forth (extreme interactivity, easy factoring, easy access to data representations) while getting rid of the many things I hated about it. Its goal was to be a scripting language for applications or libraries written in paper on variance analysis, C (much like most scripting languages) and it's was written in homework font, C. It features conservative garbage collection, a much richer data model than Forth (which isn't saying much), and paper analysis, a better module (vocabulary) model. The implementation is basically an indirect-threaded interpreter like Forth. One of these days, though, I really have to sit down and write a Forth implementation from paper suggestions, scratch in assembly language, if only to teach myself assembly language. That's how Chuck Moore did it originally, and if it's good enough for Chuck. BogoScheme started as a tiny Scheme interpreter I wrote in a few hours in ocaml for term, an ocaml course I teach. There was nothing particularly interesting about the original version, aside from the online book editing, fact that it was a Turing-complete Scheme interpreter in about 700 lines of code, with first-class functions and paper on variance analysis, correct lexical scoping.

The bogo- prefix doesn't mean that the phd thesis management, language is analysis broken; it just means that it (currently) lacks huge numbers of features that full-fledged Scheme interpreters have. Also, I liked the idea that source code files would have names ending in .bs . Truth in homework font, advertising! Of course, no language ever stays small for long, and since I wrote BogoScheme I've been systematically expanding it, with the on variance analysis, goal of making a full R6RS-compliant Scheme implementation (the R6RS standard isn't finalized yet, but a draft is homework font available at on variance analysis, http://www.r6rs.org ). I also want to phd thesis waste management experiment with writing a Scheme compiler for the language, something I've been interested in ever since I read Abelson and Sussman's Structure and Interpretation of Computer Programs. And, of course, it's really fun. My longer-term goal is to term paper use BogoScheme as a vehicle for web programming. Econometrics Term Paper? I have technical reasons for believing that Scheme would be a superb language for web programming, and I'd like to try it out. Of course, I could use a pre-existing Scheme implementation, but that wouldn't be nearly as much fun. Other programming projects of mine. mosh is a Unix shell I've written in paper, Ocaml. It's very primitive at the moment, but I want to expand it until I can ditch bash and zsh entirely (at least, for interactive use).

The goal of mosh is to be a superb interactive shell, not a shell scripting language. I don't care much about shell scripting, because my shell scripts are never long (if they get longer than about twenty lines, I switch to a real scripting language like python instead). However, I do care a lot about comfortable interaction with a shell, and econometrics suggestions, I want to use mosh to paper experiment with new features while simultaneously avoiding the gigantic amount of cruft that plagues zsh . Admittedly, this isn't an Earth-shaking project; it's mostly for fun and learning. The name mosh stands for M ike's O caml SH ell. Apache is the most-used web server in the world, and is totally open-source.

I've compiled and set up an Apache server for econometrics paper, my database-backed web site project. I set up the server to on variance analysis support PHP and MySQL as well, which required a little cleverness (but not much). I like Apache; it seems to be robust and effective. TeX/LaTeX The document-processing systems. I use these to on electronic management typeset all my scientific papers. I hate LaTeX, but I don't have a better alternative.

I especially hate the TeX language that is at term on variance, the heart of LaTeX. Don Knuth may be a genius in the field of computer algorithms, but that doesn't make him a genius in econometrics term paper suggestions, computer language design. Ugh. CORBA I've played around with CORBA a bit, mainly using a Python ORB called Fnorb. I was once excited about the potential of CORBA for term, making network programming easier and for making it easy to phd thesis integrate modules written in different languages, but now I've lost interest. Paper On Variance Analysis? CORBA is econometrics paper too big, too bulky, and has too much overhead for my tastes. Also, it has a design-by-committee feel to term on variance it.

CVS and term suggestions, Subversion. I have used CVS (Concurrent Version System) to manage source code revisions for several projects. On Variance? It's not perfect, but it gets the job done. I've also set up CVS archives for the Gambit project and for other projects. Then I switched to Subversion, which I preferred, but not by much.

Now I use Darcs (written in Haskell, by the way). Lex, Yacc and friends. Lex and Yacc (or their GNU equivalents, flex and bison) are, respectively, lexer and management, parser generators. They enable you to write parsers for new programming languages fairly easily, by stating the on variance, parsing rules. I've done some work on Yacc for the Tspice project, and I used lex extensively for not pay, my cellreader library in GENESIS. On Variance? I also know the Ocaml equivalents, ocamllex and ocamlyacc , quite well. Emacs and Vim Emacs and Vim are two great programmer's text editors. Does Not Pay? I used Emacs exclusively for years until I finally discovered Vim, and I haven't used Emacs since.

Vim's modal editing really saves time. SWIG SWIG (Simplified Wrapper and Interface Generator) is a nifty tool that makes it very easy to term paper build scripting interfaces to waste management C or C++ code. I used it to build a version of term GENESIS that used Python as its scripting language. autoconf autoconf is another cool tool that I used to automate the configuration process for my hobby project (GNU shogi). Online? If you've ever had to hack through a dozen Makefiles to term analysis make a program compile on homework font a different version of Unix than the one it was written on, then you can appreciate what autoconf does.

With autoconf, you just have to paper analysis do configure; make; make install and you're (usually) done.

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According to Jim , Awareness , ConTeXt 302 Words | 3 Pages. Josephine King English 110 Mrs. Carson 15 May 2014 Bad Things Happen To Good People When bad things happen to . good people only book, a tragedy can result. William Shakespeare wrote one of the best known tragedies of term on variance analysis all time. The Tragedy of econometrics Romeo and paper on variance, Juliet is a tragedy because the main characters are of noble birth, are basically good people, and literacy of critical, have tragic flaws that lead to their death. Both Romeo and Juliet are born into paper on variance analysis, rich families. Our first clue that they were of the online book editing upper class is, Two. Christopher Marlowe , Hamlet , Nobility 825 Words | 3 Pages.

WHY ENGLISH ? There are in Asia many different languages as well as many different dialects. This is true also of many parts of Africa where . in Ghana alone there are many different languages, each one again, with many dialects. Therefore since it is only by the spoken word that human beings can communicate with one another, the necessity for a common language, whatever that common language may be is obvious. Common language that has been state up is the English language. English has been choose. British Empire , Commonwealth of term paper on variance analysis Nations , English language 1583 Words | 5 Pages. “ English Not a Native Tongue” English as a second language is an online editing issue now days. Paper? Many people that don’t speak or write . English , life tends to be a bit harsh on them. I personally have experience how difficult it is mit courses, when one is not born in a family where English is not the native language.

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Though the title of the essay introduces politics first and the English language last, Orwell’s thesis seems to consist of neither; it consists of the literacy in support thinking silliness of modern human writing. Analysis? He states. England , English language , Great Vowel Shift 1067 Words | 3 Pages. description of these characters, the author has conjured up a very believable understanding of the way that these characters are perceived by the . protagonist, which in book term, makes the fear felt by analysis, these characters much more real to the reader. Literacy Thinking? An example of this is the “terrifying, unearthly squeal” (6) that is heard by the siblings as the term on variance analysis attackers surround them. This description of homework font sound gives a very wild and primitive idea of the attackers. Furthermore, the “howling of wild dogs” (8) also adds. Attack , Character , Emotion 1057 Words | 3 Pages. HRS 1-A English Mastery: An Essential to the New Generation Thesis Statement: The generation we live in paper on variance analysis now has incredibly high standards . that fluency in English language is of a good help for starting a career, connecting to waste the world and term paper analysis, international recognition. Introduction According to the contemporary psycholinguist, Frank Smith, “One language sets you in a corridor for life.

Two languages open every door along the way.” Having one language is not enough though it’s not that bad , but learning. Commonwealth of Nations , English language , French language 1393 Words | 4 Pages. 2: Allowing free trade between countries can be beneficial, but it also imposes costs. Use the ITT Tech Virtual Library to econometrics paper research the costs and benefits . of allowing free trade. Discuss aspects of term free trade that some may consider unfair. For example : a. Distribution of costs and benefits of free trade. In other words, does everyone share in the gains and the costs equally? b. Competing with different labor restrictions (or lack thereof), such as slave or child labor. c. Differences in environmental. Economic surplus , Economics , International trade 1169 Words | 2 Pages. respond to econometrics term the following: * The chapter describes five different economic principles and provides an example of each principle. Imagine . that you are one of the authors of the textbook. * Select one principle and create an additional example that will help students understand that principle better. Principle #1: Opportunity Cost - The cost of something is term on variance analysis, what you give up to get it.

Example : College education. Online Book Editing? The benefits are the job opportunities and term on variance analysis, personal satisfaction, but there are. Average cost , Costs , Economics 2256 Words | 7 Pages. Policies and Procedures NSW Industrial Relations The need for effective workplace policies and procedures has never been more important in today’s . Mit Courses? changing workplace. This is analysis, driven by online book, changes to legislation, regulation and codes of practice. Paper On Variance? For example the recent changes to industrial relations legislation and the move to a national system have resulted in mit courses the emergence of workplace issues of discrimination, workplace rights and unfair dismissals that should be covered by effective policies. The. At-will employment , Bullying , Discrimination 1597 Words | 7 Pages. Marathon Man - a Good Example a Bad One.

which is another example of an external force. Everything from this point on gets crazy! Babe is trying to find the paper right thing to do, . get away, stay alive, etc. There are all of management these people who help Babe with everything, but some of them are working for the killers. Toward the end of the book, it becomes more about a Nazi dentist. Through everything that happened to him, Babe stayed strong. Babe deciding to be strong is an example of an internal force. Babe made some bad decisions, but.

Brothers , Character , English-language films 946 Words | 3 Pages. Politics and the English Language. “Politics and the English language” George Orwell General questions 1. This piece is written basically just to term paper on variance analysis criticize . Term Paper? bad writing and term paper on variance, also to literacy in support of critical thinking criticize the downgrade of the English language. In the essay Orwell argues that “our language is probably curable”. The main point is just to term on variance analysis show examples of how the language has deteriorated and paper suggestions, also to give some pointers on how it can be fixed. 2. Throughout the term on variance analysis essay the author’s tone is that of aggravation because the entire piece. Dialect , English language , Linguistics 869 Words | 3 Pages. Deterioration of the English Language. Word Count: 1,237 Denise Moreno Professor Carlene Coury English 120 13 April 2013 Deterioration of the English Language . Term Paper? The English language seems to be deteriorating more and more each day. So many examples can be given to justify this observation.

Three different writers have pointed out some examples of the butchering of the language. Martha Brokenbrough states that the constant use of instant messaging jargon and internetism can certainly be a good way to reshape the way we communicate. England , English language , Instant messaging 1305 Words | 4 Pages. ?Steps to Learning English To become a fluent English speaker, you must study and master reading, listening, and speaking. At . TalkEnglish.com, the lessons are structured to give you practice in all three areas at the same time. Reading Speaking English Fluency Listening Step 1: Identify Step 2: Understand Step 3: Integrate A complete and efficient solution to analysis Learn English speaking TalkEnglish.com developed the Click, Listen, and Repeat functionality.

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?Drugs In Sport Today I will be talking about how drugs in sport are immoral and not pay, a bad influence on younger generations. Drugs in sport is . Paper On Variance Analysis? one of today’s most controversial issues in homework font our daily lives. Such as the term paper Essendon drug scandal, Lance Armstrong and many, many more have suffered having the punishments that come with taking drugs. Sport is essay not pay, meant to be a very enjoyable activity, but now with the shadow of drugs looming over it, sport has become very tedious. The real point of sport is. A Separate Peace , Brain , Essay 908 Words | 3 Pages. social sciences and humanities. Many ethnomusicological works are created not necessarily by 'ethnomusicologists' proper, but instead by anthropologists . examining music as an aspect of a culture. A well-known example of such work is Colin Turnbull's study of the Mbuti pygmies.

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The way I see it, is there are 2 kinds of essay greed people in this world. England , English language , German language 1325 Words | 3 Pages. Differences Between American and British English. Differences Between American and term paper, British English While there are certainly many more varieties of mit courses English , American . English and British English are the two varieties that are taught in most ESL/EFL programs. Generally, it is term paper analysis, agreed that no one version is correct however, there are certainly preferences in use. The three major differences between between American and econometrics paper, British English are: Pronunciation - differences in both vowel and consonants, as well as stress and intonation Vocabulary - differences. American and British English differences , American and British English spelling differences , American English 859 Words | 4 Pages. English Globalization: Good and Bad. technology, communication and term on variance, even education.

English is one of online many things which is globalizing. According to term paper on variance analysis Andy Curtis, there are over 300 . million people using English as their first language. Greed Does Not Pay? English is the third largest language in the World after Mandarin and Spanish. Term Paper On Variance? Because of the global revolution, the developing of technology and the desire to communicate with strangers, more and more people has started to learn English . Globalization has turned English into homework font, the most popular language; however. English language , European Union , French language 618 Words | 2 Pages. ? Compare and Contrast Essay – Final Jennifer Hopes English 121 Mr. Paper On Variance Analysis? Walters March 7, 2014 Introduction While Narration follows a . Homework Font? logical order, typically chronological.

Descriptive writing is different from narrative writing because it uses vivid language. Narrative essay are clearly, less effective than descriptive essays, they narrow down every item and make conclusions for the reader. Descriptive essays are a major component of academic success; an effective writer does not allow the. Essay , Essays , First-person narrative 1500 Words | 7 Pages. the Laws of Supply and term on variance analysis, Demand The simulation in phd thesis on electronic management the text is about a small city by the name of paper Atlantis. Atlantis is phd thesis waste, a well-maintained city with many . positive aspects for the community. All of the aspects make it a pleasant living environment. For example , the city has maintained streets, maintained sidewalks, large parks and jogging paths. Paper Analysis? To rent an homework font apartment in analysis the community of Atlantis an individual would have to go through Good life Management.

The current vacancy rate is at 28 percent of suggestions availability. Economics , Elasticity , Income elasticity of demand 1569 Words | 3 Pages. A Troubling Mix of English and Vietnamese. (23-10-2005) A troubling mix of English and Vietnamese |[pic] | | | by . Vu Thu Ha I accidentally heard the following conversation between two young girls in a coffee shop one day: Sorry, toi qua tao busy qua, khong help may duoc (Sorry, I was too busy to help you last night?) The bay gio thi the nao? (How about now?) Ui gioi, easy work! (Well, no problem) At the time I thought that an English -speaking foreigner would be surprised. English language , Language , Language acquisition 885 Words | 3 Pages. Sakib Choudhury Professor-Meredith Benjamin English -2150 13 March 2013 Snow White and paper analysis, Her Victims Growing up reading fairy tales all . our lives, there was always a protagonist, and an antagonist. The moral of these fairy tales were all the same. It was the war between the book good and the evil. Term Paper Analysis? After reading Anne Sexton poem’s “Snow White and the Seven Dwarfs”, which was one of the well-known Disney fairy tales, the story seemed to be a lot different than the original theme. Anne Sexton’s poem.

Brothers Grimm , English-language films , Fairy tale 1317 Words | 4 Pages. “Journeys” What is a narrative? The record of a series of factual or fictional events in which the linking of the events gives a sequence and shape to . the telling. Short stories, epics, ballads, biographies, autobiographies, novels, romances are examples of narratives. Why do we compose them? To entertain. To enable the reader to enjoy experiences vicariously. To record experiences.

Features Realistic, humorous, fantasy, historical, science fiction Structures familiar in narratives - common. Christopher Nolan , Composition , Courage 852 Words | 4 Pages. Why English is important in Job Requirement? A study conducted by one of the biggest agencies, Job.com, founded that lack of . communication skills in both speaking and writing has caused the main reasons for the failure of homework font graduates in seeking jobs. An English lecturer of University Utara Malaysia’s school of cognitive science and education, M.Puveneswary who taught English at the University for about 11 years said, there was a gap between English at the workplace and on variance analysis, academic environments. British Empire , Commonwealth of Nations , Communication 1291 Words | 4 Pages. successful career in life. Bad books spoil our character. On Electronic Management? It is paper, said that if wealth is lost, nothing is lost, if health is mit courses, lost, something is . Term? lost, but if character is lost, everything is lost. We should, therefore, not accept any bad book even for cursory reading. According to econometrics term Bacon, some books are to be tasted, others to be swallowed and some few to be chewed and paper, digested.

A good book should, therefore, be chewed and digested so that it has a lasting influence on our life. For example , reading of the Gita. Education , English language , French language 1921 Words | 5 Pages. THE ENGLISH Text Analysis In process of analyzing the text ‘The English ’ I found that there are six paragraphs and in each . paragraph there are approximately four sentences. Econometrics? Vocabulary of paper on variance this text is simple without difficult words like scientific terminology etc., in addition it is econometrics paper suggestions, also descriptive, so author describes how immigrants from paper analysis overseas have settled in different parts of paper suggestions England and had formed their communities.

Simple and descriptive vocabulary makes text more understandable to people. Adjective , City of London , England 1449 Words | 4 Pages. ------------------------------------------------- Background Scottish English results from language contact between Scots and the Standard . English of England after the 17th century. The resulting shifts to English usage by Scots-speakers resulted in many phonological compromises and lexical transfers, often mistaken for mergers by linguists unfamiliar with the term paper on variance history of Scottish English . Furthermore, the process was also influenced by phd thesis waste management, interdialectal forms, hypercorrections and spelling pronunciations. English language , International Phonetic Alphabet , James I of England 1239 Words | 4 Pages.

English , Comparative, Guidelines Based on some recent emails, there seems to be a lot of on variance analysis confusion when it comes to mit courses approaching the . comparative study essay. Understandably, it is quite hard to organise your knowledge of these texts and make it into a coherent comparative. I felt there was no point in trying to paper on variance write a sample essay, as everyone is studying different texts. But here is the bread and homework font, butter of it all. In essence, you will be asked to write along the following essay titles (modes. Comparison , Comparison of text editors , Linguistics 705 Words | 3 Pages. becoming independent, for example , you have a step-mother who doesn’t like you and it gets uncomfortable for both of you to stay in term analysis the same . house, this pushes you to phd thesis work hard and get your own place to stay.

That is a step of becoming independent. Your character is term on variance analysis, also a factor toward becoming independent. Character comes with your environment, the greed does type of on variance analysis friends you have and mit courses, the different activities you do. Term Paper Analysis? Your character could either be good or bad . Abstain from bad company because they only. All That You Can't Leave Behind , Consciousness , Do the Right Thing 1087 Words | 3 Pages. the novel and if it’s good or bad . An example of this is in Lord of the flies, the island resembled and was the ideal image of . paradise at first, this is when all the term suggestions boys got along and there was democracy, civilisation and a hope of being rescued promptly. Term Paper On Variance? The island also had violent storms which set the scene, before Simon’s death there is a storm which the thunder is described as ‘the blow of a gigantic whip’ the imagery of the weather tells readers that something bad will happen in the next couple. A Story , Character , Death 1529 Words | 4 Pages. Informative essay: Slavery argument by Jameson Jenkins English 1315, essay 5 Jenna Garrett 26 October 2011 . Editing? Jenkins i Outline Thesis statement: Slavery is paper analysis, a bad way to run a country ethically, socially and economically. Essay Does? I. In all the on variance regions of the world that have experienced slavery, slaves endured many experiences that could be seen as. African slave trade , Arab slave trade , Atlantic slave trade 1829 Words | 5 Pages.

1919:’We have room for but one language here, and that is the English language, for term we intend to see that the crucible turns out people as . Americans and now as dwellers in a polyglot boarding-house’ (Daniels,8). The question that has been around for hundreds of years: “Should English be declared the official language of the analysis United States?” is still the controversy – refighting the same old sociolinguistic issue of the 1970s. Yes, English should be the sole language of the US, because of increased concern. English language , European Union , German language 2157 Words | 6 Pages. political force is probably the most turbulent force in the environment (Fahey Narayanan 1986).

In the past one decade, the Chinese government attaches . Media Literacy In Support Thinking? great importance and paper, focus to the development of e-commerce in the most populous country, for example , on media literacy thinking issuing the Summaries of the Middle/Long Term Science and Technology Development Plans of paper China and the Development of Information Industry Plans in the Eleventh Five-year and Long Plan in 2020 Years in The Ministry of Information Industry. In. Brazil , Developed country , Economic growth 1603 Words | 6 Pages. English Only or Not? I Table of management Content Page Content 1. Introduction 2. English . only Policies 3. Lawsuits of Discriminations 4. EEOC vs. Pro English 5. Conclusion 6. Works Cited English Only or Not? Introduction In the United States we are filled with different cultures and backgrounds form other countries, for that reason many other languages other than English are often spoken in the workplace and.

Discrimination , Employment , Language 1741 Words | 6 Pages. English as an International Language: Good or Bad? ? English as an International language – Good or Bad ? Are we witnessing the definitive rise of English as a truly . global language? This prospective development is an term analysis issue that is heavily discussed. English has for a long time been the world’s dominating language.

There are two prime reasons for its high frequency all over the globe. First of all, the vast influence of Britain as a former colonial power; secondly, the subsequent dominance, politically and editing, economically, of the term analysis United States. Online Book? . Dialect , English language , French language 424 Words | 2 Pages. not only show that his brother hasn’t always had it easy because he is on variance analysis, African American, and econometrics term, is often stereotyped, but it also helps to show a sensitive side . of Robby right off the bat, because the on variance sensitive side of him is seen right away. Another example that illustrates inequality is where John talks about Robby’s life in term prison: He had to discipline himself to avoid confrontations, he had to weigh in terms of life and paper on variance analysis, death every decision he made; he had to listen and obey his keepers’ orders. A Story , John Edgar Wideman , Louise Pratt 1208 Words | 4 Pages. level. youth development rules All Football League Clubs have to abide by a set of stringent Rules.

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It was hard for me to care when they didn’t seem to, I wasn’t motivated to do anything, and in fact it would be accurate to say that in those first four years, I didn’t learn anything. British Empire , British Isles , Commonwealth of Nations 873 Words | 3 Pages. [pic] Queenwood Department of English Year 11 Assessment: Area of Study Task 2: Creative Response Due Date: Tuesday 13th . March (Day 2, Week 7) 2012 Word Limit: 800-1000 words Outcomes: P3, P4, P6-8, P11-13 Weighting: 10% ‘Happy families are all alike; every unhappy family is unhappy in its own way.’ Anna Karenina, Leo Tolstoy Using the stimulus provided, compose a narrative which demonstrates your understanding of relationships. Term Paper On Variance? You will be. Anna Karenina , Assessment , Demonstration 306 Words | 3 Pages.

disdain of the media in support thinking kindly and term paper analysis, virtuous Brobdingnagian rulers when his gunpowder display, intended to impress his hosts as an exemplary product of European . civilization, proves disastrous. An address Gulliver delivers to phd thesis on electronic management the Brobdingnagians describing English political practices of the day is also met with much scorn. Housed in a miniature box, Gulliver abruptly departs Brobdingnag when a giant eagle flies off with him and drops him in the ocean. He soon embarks on his third voyage to the flying island. Brobdingnag , Gulliver's Travels , Houyhnhnm 842 Words | 3 Pages.