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• How to attend one off lectures? [closed]

  - by Senthil Kumaran

  Many times, we come across one-off lectures from famous Computer Scientists. Last year, I came across one by Ms. Barbara Liskov, but I could not go because the University Hall was bit far. Tomorrow, there is one by Dr. Knuth! Now the problem I am facing is, "I don't know much about the material he is going to talk", so I am not sure if I should plan and I fear it will be like going for a "temple". :) What is your advise and general strategy that you have followed whenever you wanted to attend a talk or lecture wherein, it may have been worthwhile if it were an introductory tutorial, but instead you were sitting in an advanced 1 hour lecture by a famous scientist.

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• I want to fix a bug. Where do I start?

  - by Ingo Gerth

  Although I am not a professional programmer, I have written a program or two. Yet, nowadays every engineer and scientist learns to program a bit as well, and as such I am used to writing programs in Python, C and MATLAB. Now I want to give back a bit to Ubuntu and its great folks and fix a bug! I had a look at the list of the bitesize campaign and had to find that most of them are not that easy for me to fix as I suspect they require a lot of time to get into the matter, and I do not have that. Still I discovered this one and it looks manageable and like a cool feature to me. As I have never written a patch or released a program to the wild before though, I have no idea where to start. What should be my first step to tackle that problem? Bottom line: Where and how do I start fixing that guy?

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• What should 'Computer Science' be called?

  - by Dylan White

  A famous computer scientist, Edsger Dijkstra, once remarked, "Computer Science is no more about computers than astronomy is about telescopes." I am inclined to agree. However, this brings up an interesting question: what would a better name for the field be?

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• How to prevent firefox from updating

  - by Larry

  I have firefox 3.6.x in Mint Linux. For physical problems -- eyes and color, I want to keep this version and not do any updates ever to it. I don't know if it is a firefox or linux issue, but nothing seems to work. It should not be rocket scientist enabled. :P This is what I have tried: Update Manager and added to ignore package --firef0x* Fully removed all traces of firefox and reinstalled 3.6.28 In firefox, set the upgrade options (3) of them to unselected and saved. Scanned computer for firef* to insure all traces were removed, to include /usr/bin/firefox. Using Mint Linux 9, otherwise fully upgraded for packages. That's the main things I've done. My major issues is the later versions of that software are almost impossible for me to see.

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• Big Data – Learning Basics of Big Data in 21 Days – Bookmark

  - by Pinal Dave

  Earlier this month I had a great time to write Bascis of Big Data series. This series received great response and lots of good comments I have received, I am going to follow up this basics series with further in-depth series in near future. Here is the consolidated blog post where you can find all the 21 days blog posts together. Bookmark this page for future reference. Big Data – Beginning Big Data – Day 1 of 21 Big Data – What is Big Data – 3 Vs of Big Data – Volume, Velocity and Variety – Day 2 of 21 Big Data – Evolution of Big Data – Day 3 of 21 Big Data – Basics of Big Data Architecture – Day 4 of 21 Big Data – Buzz Words: What is NoSQL – Day 5 of 21 Big Data – Buzz Words: What is Hadoop – Day 6 of 21 Big Data – Buzz Words: What is MapReduce – Day 7 of 21 Big Data – Buzz Words: What is HDFS – Day 8 of 21 Big Data – Buzz Words: Importance of Relational Database in Big Data World – Day 9 of 21 Big Data – Buzz Words: What is NewSQL – Day 10 of 21 Big Data – Role of Cloud Computing in Big Data – Day 11 of 21 Big Data – Operational Databases Supporting Big Data – RDBMS and NoSQL – Day 12 of 21 Big Data – Operational Databases Supporting Big Data – Key-Value Pair Databases and Document Databases – Day 13 of 21 Big Data – Operational Databases Supporting Big Data – Columnar, Graph and Spatial Database – Day 14 of 21 Big Data – Data Mining with Hive – What is Hive? – What is HiveQL (HQL)? – Day 15 of 21 Big Data – Interacting with Hadoop – What is PIG? – What is PIG Latin? – Day 16 of 21 Big Data – Interacting with Hadoop – What is Sqoop? – What is Zookeeper? – Day 17 of 21 Big Data – Basics of Big Data Analytics – Day 18 of 21 Big Data – How to become a Data Scientist and Learn Data Science? – Day 19 of 21 Big Data – Various Learning Resources – How to Start with Big Data? – Day 20 of 21 Big Data – Final Wrap and What Next – Day 21 of 21 Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: Big Data, PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, T SQL

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• What is your definition of a programmer?

  - by Amir Rezaei

  The definition of a programmer is not obvious. It has happened that I have asked questions in this forum where people believe it don’t belong here because it’s not programmer related. I thought this question may clarify the definition. What characteristics, roles and activities do you think defines a programmer? Is there a typical programmer? The technology changes so fast that it may be hard to be typical programmer. From wikipedia: A programmer, computer programmer or coder is someone who writes computer software. The term computer programmer can refer to a specialist in one area of computer programming or to a generalist who writes code for many kinds of software. One who practices or professes a formal approach to programming may also be known as a programmer analyst. A programmer's primary computer language (C, C++, Java, Lisp, Delphi etc.) is often prefixed to the above titles, and those who work in a web environment often prefix their titles with web. The term programmer can be used to refer to a software developer, software engineer, computer scientist, or software analyst. However, members of these professions typically possess other software engineering skills, beyond programming; for this reason, the term programmer is sometimes considered an insulting or derogatory oversimplification of these other professions. This has sparked much debate amongst developers, analysts, computer scientists, programmers, and outsiders who continue to be puzzled at the subtle differences in these occupations

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• How do you deal with translating theory into practice?

  - by Mr. Shickadance

  Hello all! Being a computer scientist in a research field I am often tasked with working alongside professionals outside of the software domain (think math people, electrical engineer etc), and then translating their theories and ideas into real-world implementations. I often find it difficult when they present a theoretical problem which appears to be somewhat disconnected from reality. I am not saying that the theory is bogus, only that it is difficult to translate into real-world situations. For example, recently I have been working with software defined radios. We are exploring many different areas, but often the math specialists in my group would present a problem which is heavily grounded in theory (signal processing, physics, whatever). I often struggle at times where it is hard to draw direct parallels between the theory and the real-world implementation that I need to develop. Say we are working on an energy detector, the theory person in my group would say "you need to measure the noise variance with no signal present." This leads me to think "how the hell do I isolate noise from a signal in reality?" There are many examples, but I hope you see where I am going. So, my question is how does one deal with implementation of theoretical concepts when the theory seems detached from reality? Or at least when the connections are not so clear. Or perhaps, the person with the 'theory' may be ignorant of real restrictions? Note: I found this to be a hard question to ask - hopefully you are following me. If you have suggestions on how I could improve it, by all means let me know! Thanks for looking! EDIT: To be a bit more clear, I understand in situations like this that I must learn that specific domain myself to an extent (i.e. signal processing), but I am more concerned with when those theoretical concepts do not appear to be as grounded in practice as one would like.

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• 50 Years of LEDs: An Interview with Inventor Nick Holonyak [Video]

  - by Jason Fitzpatrick

  The man who powered on the first LED half a century ago is still around to talk about it; read on to watch an interview with LED inventor Nick Holonyak. The most fascinating thing about Holonyak’s journey to the invention of the LED was that he started off trying to build a laser and ended up inventing a super efficient light source: Holonyak got his PhD in 1954. In 1957, after a year at Bell Labs and a two year stint in the Army, he joined GE’s research lab in Syracuse, New York. GE was already exploring semiconductor applications and building the forerunners of modern diodes called thyristors and rectifiers. At a GE lab in Schenectady, the scientist Robert Hall was trying to build the first diode laser. Hall, Holonyak and others noticed that semiconductors emit radiation, including visible light, when electricity flows through them. Holonyak and Hall were trying to “turn them on,” and channel, focus and multiply the light. Hall was the first to succeed. He built the world’s first semiconductor laser. Without it, there would be no CD and DVD players today. “Nobody knew how to turn the semiconductor into the laser,” Holonyak says. “We arrived at the answer before anyone else.” But Hall’s laser emitted only invisible, infrared light. Holonyak spent more time in his lab, testing, cutting and polishing his hand-made semiconducting alloys. In the fall of 1962, he got first light. “People thought that alloys were rough and turgid and lumpy,” he says. “We knew damn well what happened and that we had a very powerful way of converting electrical current directly into light. We had the ultimate lamp.” How To Get a Better Wireless Signal and Reduce Wireless Network Interference How To Troubleshoot Internet Connection Problems 7 Ways To Free Up Hard Disk Space On Windows

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• Why are SW engineering interviews disproportionately difficult?

  - by stackoverflowuser2010

  First, some background on me. I have a PhD in CS and have had jobs both as a software engineer and as an R&D research scientist, both at Very Large Corporations You Know Very Well. I recently changed jobs and interviewed for both types of jobs (as I have done in the past). My observation: SW engineer job interviews are way, way disproportionately more difficult than CS researcher job interviews, but the researcher job is higher paying, more competitive, more rewarding, more interesting, and has a higher upside. Here's a typical interview loop for researcher: Phone interview to see if my research is in alignment with the lab's researcher In-person, give presentation on my recent research for one hour (which represents maybe 9 month's worth of work), answer questions In-person one-on-one interviews with about 5 researchers, where they ask me very reasonable questions on my work/publications/patents, including: technical questions, where my work fits into related work, and how I can extend my work to new areas Here's a typical interview loop for SW engineer: Phone interview where I'm asked algorithm questions and maybe do some coding. Pretty standard. In-person interviews at the whiteboard where they drill the F*** out of you on esoteric C++ minutia (e.g. how does a polymorphic virtual function call work), algorithms (make all-pairs-shortest-path algorithm work for 1B vertices), system design (design a database load balancer), etc. This goes on for six or seven interviews. Ridiculous. Why would anyone be willing to put up with this? What is the point of asking about C++ trivia or writing code to prove yourself? Why not make the SE interview more like the researcher interview where you give a talk about what you've done? How are technical job interviews for other fields, like physics, chemistry, civil engineering, mechanical engineering?

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• JavaOne Latin America Keynotes

  - by Tori Wieldt

  The JavaOne Latin America keynotes will provide a blend of information from Oracle's top Java engineers and leaders from the Java community. Oracle has lined up leaders in Java development and the Java community has put togehter their own mix of Java champions to share their insights with you. Don’t miss what they have to say! In the Java Strategy and Technical Keynote on Tuesday, you'll get a glimpse of the future and the vast opportunities Java makes possible from these Oracle experts: Judson Althoff, Senior Vice President, Worldwide Alliances and Channels and Embedded Sales Nandini Ramani, Vice President of Engineering, Java Client and Mobile Platforms Georges Saab, Vice President of Development Henrik Stahl, Senior Director, Product Management Simon Ritter, Java Technology Evangelist Terrence Barr, Senior Technologist JavaOne Latin America with close with the popular Java Community Keynote on Thursday. You'll hear from members of Latin America's vibrant Java community. They'll sharing amazing developer stories and demo cool projects--and have some fun along the way. The Duke's Choice Award ceremony will be included as well. Speakers include: Fabiane Nardon, Computer Scientist and Java Champion Vinícius Senger, Founder, Globalcode Yara Senger, President, SouJava and Java Champion Bruno Souza, Founder, SouJava and Java Champion JavaOne Latin America is the event of the year for Java developers—and you have to be there. Learn new skills. Get answers. Make new friends and connections. JavaOne Latin America will in São Paulo, 4-6 December 2012 at the Transamerica Expo Center. There's still time to register!  Para mais informações ou inscrição ligue para (11) 2875-4163. 

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• How do I create my own programming language and a compiler for it

  - by Dave

  I am thorough with programming and have come across languages including BASIC, FORTRAN, COBOL, LISP, LOGO, Java, C++, C, MATLAB, Mathematica, Python, Ruby, Perl, JavaScript, Assembly and so on. I can't understand how people create programming languages and devise compilers for it. I also couldn't understand how people create OS like Windows, Mac, UNIX, DOS and so on. The other thing that is mysterious to me is how people create libraries like OpenGL, OpenCL, OpenCV, Cocoa, MFC and so on. The last thing I am unable to figure out is how scientists devise an assembly language and an assembler for a microprocessor. I would really like to learn all of these stuff and I am 15 years old. I always wanted to be a computer scientist someone like Babbage, Turing, Shannon, or Dennis Ritchie. I have already read Aho's Compiler Design and Tanenbaum's OS concepts book and they all only discuss concepts and code in a high level. They don't go into the details and nuances and how to devise a compiler or operating system. I want a concrete understanding so that I can create one myself and not just an understanding of what a thread, semaphore, process, or parsing is. I asked my brother about all this. He is a SB student in EECS at MIT and hasn't got a clue of how to actually create all these stuff in the real world. All he knows is just an understanding of Compiler Design and OS concepts like the ones that you guys have mentioned (i.e. like Thread, Synchronization, Concurrency, memory management, Lexical Analysis, Intermediate code generation and so on)

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• Python in Finance by Yuxing Yan, Packt Publishing Book Review

  - by Compudicted

  Originally posted on: http://geekswithblogs.net/Compudicted/archive/2014/06/04/python-in-finance-by-yuxing-yan-packt-publishing-book-review.aspx I picked Python in Finance from Packt Publishing to review expecting to bore myself with complex algorithms and senseless formulas while seeing little actual Python in action, indeed at 400 pages plus it may seem so. But, it turned out to be quite the opposite. I learned a lot about practical implementations of various Python modules as SciPy, NumPy and several more, I think they empower a developer a lot. No wonder Python is on the track to become a de-facto scientist language of choice! But I am not going to compromise the truth, the book does discuss numerous financial terms, many of them, and this is where the enormous power of this book is coming from: it is like standing on the shoulders of a giant. Python is that giant - flexible and powerful, yet very approachable. The TOC is very detailed thanks to Packt, any one can see what financial algorithms are covered, I am only going to name a few which I had most fun with (though all of them are covered in enough details): Fama*, Fat Tail, ARCH, Monte-Carlo and of course the volatility smile! I am under an impression this book is best suited for students in Finance, especially those who are about to join the workforce, but I suspect the material in this book is very well suited for mature Financists, an investor who has some programming skills and wants to benefit from it, or even a programmer, or a mathematician who already knows Python or any other language, but wants to have fun in Quantitative Finance and earn a few buck! Pure fun, real results, tons of practical insight from reading data from a file to downloading trade data from Yahoo! Lastly, I need to complement Yuxing – he is a talented teacher, this book could not be what it is otherwise. It is a 5 out of 5 product. Disclaimer: I received a  free copy of this book for review purposes from the publisher.

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• IASA South East Florida Chapter &ndash; November 2012 Meeting

  - by Rainer Habermann

  After a short introduction by Rainer Habermann and announcements for the chapter and promoting the upcoming IASA IFC Certification Class in January 2013 at Citrix, the audience was exited to welcome Jesus Rodriquez for the main presentation about “Mobilizing the Enterprise”.       Jesus is a co-founder and CEO of both Tellago Studios and Tellago, two fast growing start-ups with a unique vision around software technology. Jesus spends his days working on the technology and strategic vision of both companies. Under his leadership, Tellago and Tellago Studios have been recognized as an innovator in the areas of enterprise software and solutions achieving important awards like the Inc500, American Business Awards’ American and International Business Awards. A software scientist by background, Jesus is an internationally recognized speaker and author with contributions that include hundreds of articles and sessions at industry conferences. Jesus serves as an advisor to several software companies such as Microsoft and Oracle, and is the only person who holds both the Microsoft MVP and Oracle ACE awards. Jesus introduced the architecture of the Enterprise Mobile Backend as a service, integrating enterprise mobile applications with corporate line of business systems and providing robust backend capabilities represent some of the major challenges in today’s enterprise mobility solutions. The mobile consumer space has seen the emergence of backend as a service technologies as one of the main mechanisms for enabling backend capabilities in mobile applications. This session introduced the concept of mobile backend as a service (MBaaS) as the fundamental enabler of the next generation enterprise mobile applications. The session further explored the fundamental components and services of a mBaaS platform that makes it an ideal option for enabling backend capabilities in enterprise mobile applications. Using real world examples. Jesus demonstrated how mBaaS represents an agile and extremely simple model to integrate mobile applications with corporate systems. Thank you very much to Jesus Rodriquez for an outstanding presentation, Peak 10 Data Centers for hosting our meeting, and to TEK Systems for Snacks. Pictures taken by Ted Harwood.   Rainer Habermann President IASA SE Florida Chapter

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• How often is your "Go-To" language the same as your favorite??

  - by K-RAN

  I know that there's already a question asking for your favorite programming language here. I'm curious though, what's your go-to language? The two can be very different. For example, I love Haskell. I learned it this past semester and I fell in love with it's very concise solutions and awesome syntax (I love theoretical math so something like fib = 1 : 1 : [ f | f <- zipWith (+) fibSeq (tail fibSeq)] makes my inner mathematician and computer scientist jump with joy!). However, the majority of my projects for classes and jobs have been in C/C++ & Java. As a result, most of the time when I'm testing something like an algorithm or Data Structure I go straight to C++. What about you guys? What languages do you love and why? What about your go-to language? What language do you use most often to get things done for work or personal projects and why? How often does a language fall into both categories??

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• Agile Data Book from O'Reilly Media

  - by Compudicted

  Originally posted on: http://geekswithblogs.net/Compudicted/archive/2013/07/01/153309.aspxAs part of my ongoing self-education and approaching of some free time, yeah, both is a must for every IT person and geek! I have carefully examined the latest trends in the Computersphere with whatever tools I had at my disposal (nothing really fancy was used) and came to a conclusion that for a database pro the *hottest* topic today is undoubtedly the #BigData and all the rapidly growing and spawning ecosystem around it. Having recently immersed myself into the NoSQL world (let me tell here right away NoSQL means Not Only SQL) one book really stood out of the crowd: Book site: http://shop.oreilly.com/product/0636920025054.doDespite being a new book I am sure it will end up on the tables of many Big Data Generalists.In a few dozen words, it is primarily for two reasons:1) The author understands that a  typical business today cannot wait for a Data Scientist for too long to deliver results demanding as usual a very quick turnaround on investments (ROI), and 2) The book covers all the needed and proven modern brick and mortar offerings to get the job done by a relatively newcomer to the Big Data World.It certainly enables such a professional to grow and expand based on the acquired knowledge, and one can truly do it very fast.

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• Pros and Cons between learning to program on Windows and Linux and Macs

  - by Amumu

  I have been studying IT for 2 years and I'm going to graduate soon in this year (if everything goes well). I think it's time for me to choose a path to specialized into some fields of this large industry. Personally, I want to be a game programmer. But to be a game programmer, surely I have to invest my time to study Windows Programming, then DirectX and other programming techniques related to game. On the other hand, Linux seems promising as well. I am not sure about Game Programming on for it, but it seems become an expert for this OS, and by expert it's not about using the OS to become an administrator, but can do further than that, such as understand the OS to its essence and can produce applications for it. However, there's some obstacles in my view for this development path. Many of my friends think that Linux is based on free and open source, and if you follow it, as its name suggested: Free and Open Source, it means we also give away our software free. Otherwise, we will have to find a second job to make living. Currently, I think a viable way to make money on Linux is doing works related to client-server. Another way to developer my career is to become expert in developing business applications for companies. This is more on business, not on specialized IT fields so I am not really interested. Another alternative is programming on mobile devices, such as iPhone, Android and it seems very promising and easier to approach. Another way is to become a computer scientist and research on academic subjects such as AI, human-computer interaction, but this is far beyond my reach, so I won't invest my time on it until I feel I am experienced enough. That's all I can think of for now. I may miss a lot of things, so I need more opinions as input to get the big picture of the industry for my career path.

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• How do I create my own programming language and a compiler for it

  - by Dave

  I am thorough with programming and have come across languages including BASIC, FORTRAN, COBOL, LISP, LOGO, Java, C++, C, MATLAB, Mathematica, Python, Ruby, Perl, Javascript, Assembly and so on. I can't understand how people create programming languages and devise compilers for it. I also couldn't understand how people create OS like Windows, Mac, UNIX, DOS and so on. The other thing that is mysterious to me is how people create libraries like OpenGL, OpenCL, OpenCV, Cocoa, MFC and so on. The last thing I am unable to figure out is how scientists devise an assembly language and an assembler for a microprocessor. I would really like to learn all of these stuff and I am 15 years old. I always wanted to be a computer scientist some one like Babbage, Turing, Shannon, or Dennis Ritchie. I have already read Aho's Compiler Design and Tanenbaum's OS concepts book and they all only discuss concepts and code in a high level. They don't go into the details and nuances and how to devise a compiler or operating system. I want a concrete understanding so that I can create one myself and not just an understanding of what a thread, semaphore, process, or parsing is. I asked my brother about all this. He is a SB student in EECS at MIT and hasn't got a clue of how to actually create all these stuff in the real world. All he knows is just an understanding of Compiler Design and OS concepts like the ones that you guys have mentioned (ie like Thread, Synchronisation, Concurrency, memory management, Lexical Analysis, Intermediate code generation and so on)

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• Composing programs from small simple pieces: OOP vs Functional Programming

  - by Jay Godse

  I started programming when imperative programming languages such as C were virtually the only game in town for paid gigs. I'm not a computer scientist by training so I was only exposed to Assembler and Pascal in school, and not Lisp or Prolog. Over the 1990s, Object-Oriented Programming (OOP) became more popular because one of the marketing memes for OOP was that complex programs could be composed of loosely coupled but well-defined, well-tested, cohesive, and reusable classes and objects. And in many cases that is quite true. Once I learned object-oriented programming my C programs became better because I structured them more like classes and objects. In the last few years (2008-2014) I have programmed in Ruby, an OOP language. However, Ruby has many functional programming (FP) features such as lambdas and procs, which enable a different style of programming using recursion, currying, lazy evaluation and the like. (Through ignorance I am at a loss to explain why these techniques are so great). Very recently, I have written code to use methods from the Ruby Enumerable library, such as map(), reduce(), and select(). Apparently this is a functional style of programming. I have found that using these methods significantly reduce code volume, and make my code easier to debug. Upon reading more about FP, one of the marketing claims made by advocates is that FP enables developers to compose programs out of small well-defined, well-tested, and reusable functions, which leads to less buggy code, and low code volume. QUESTIONS: Is the composition of complex program by using FP techniques contradictory to or complementary to composition of a complex program by using OOP techniques? In which situations is OOP more effective, and when is FP more effective? Is it possible to use both techniques in the same complex program? Do the techniques overlap or contradict each other?

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• Installation causing broken packages

  - by AWE

  Here I come I am so determined to use Ubuntu that I paid a professional to install it for me (dualboot). When I got it I got a lot of things from the software center. Skype did not have a download button so I googled it and Ubuntu help told me to do this: sudo add-apt-repository "deb http://archive.canonical.com/ $(lsb_release -sc) partner" and then this: sudo apt-get update && sudo apt-get install skype The terminal told me "that this is potentially harmful..." but I thought it was Ubuntu language meaning "are you sure?" Now items cannot be installed or removed until the package catalog is repaired, so I want to repair it but the package operation fails. "sudo aptitude -f install" - command not found Synaptic package manager tells me that I have two broken packages, libc6 and libc6-dev but doesn't help, only makes life complicated. What the *#$%&!!! I don't want to be forced to become a computer scientist just to be able to use a free source os. P.s. the sound stopped working

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• Port scientific software to GPU and publish it

  - by Werner

  Hi, let's say that I am a physicist and that I am the master of the universe when it comes to port salready existing oftware to GPU's with 100x or more speedups. Let's say that I find that some other scientist, which does not know how to program GPU, publishes the Open Source code in his/her website of a physical simulation program, in the field I am expert on. Let's say that I realize "I can port that code to GPU", and I suggest him, but he shows no interest. My interest here is, 1) to port it to GPU, 2) to publish this result in a scientific journal related with physics and/or computer science My question for you is 1- would you proceed here to port the code to GPU (or other new arch) and publish it? 2- how would you do it and which journal do you suggest? Thanks

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• Scrum: What if the Product Owner has tasks?

  - by Lauren J

  I have just started working with a team that has picked up some aspects of Scrum (two week timeboxing) but not others (the team does not currently agree to all estimates or to the number of points in a sprint, but I'll change this soon.) The product owner is also a technical resource (scientist) with some development background. Is it appropriate to have the product owner's tasks (which mostly involve research) mixed in with the team's tasks (some of which are research and some development). I have looked at a lot of resources and not found an answer. Thanks!

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• Difference between 'scope' and 'namespace'?

  - by katriel

  What is the difference, in general, between the concepts of namespaces and scope? To my understanding, both describe the parts of a program in which a variable/object/method/function will be accessible. I understand that 'scope' tends to be a property of the variable (e.g., "This variable has global scope"), while a 'namespace' is a property of the program (e.g., "A Python function creates a local namespace"). Are there other differences? Global scope vs global namespace addresses a slightly narrower question: global namespaces in C++. http://www.alan-g.me.uk/tutor/tutname.htm states, There are a few very subtle differences between the terms but only a Computer Scientist pedant would argue with you, and for our purposes namespace and scope are identical. What are those subtle differences? Under what circumstances or with which kinds of languages do people use each concept?

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• What are some exciting, fun, and educational Computer Science activities for students?

  - by Nixuz

  I am a volunteer for Let's Talk Science, an organization which places science graduate students into elementary school and high school classrooms to present short, fun, yet educational demonstrations or experiments related to their particular field. Physics, Chemistry, and Biology have an abundance of such demonstrations, however as a computer scientist, I have no good ideas of what I can present to these students which will demonstrate computer programming and computers in an understandable yet inspiring way in only a 1 - 3 hour presentation. So I am turning to SO for suggestions. Thanks. Presentation Requirements Length: 1 - 3 hours. Explainable in a single sitting. Captivates elementary school and high school audiences. Educational. Please Note Computer's are available at the schools. Please, indicate the suitable age range for your suggestion in your answer.

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• What do you tell people your profession is? [closed]

  - by user110296

  My technical title is Member of the Technical Staff, and like you most of you, I design/write code for a living. I can never decide what to answer when someone asks what I do for a living? Software Developer? Software Engineer? [Kernel] Programmer? Computer Scientist? These all seem to have various bad connotations. I guess I like Software Engineer the best, but unfortunately this term has been coopted by people who don't actually code. I made the mistake of taking a 'Software Engineering' class, and realized that I definitely don't want to be associated with people who major in this. Probably this is too subjective, so feel free to community wiki it or whatever, but I think it is a valid question and I would like to hear what others have decided on and their reasoning.

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• Are there any well-known algorithms or computer models that computer scientists use to predict FIFA

  - by Khnle

  Occasionally I read news articles that mention about some computer models that computer scientists use to predict winners of some sporting events or the odds for betting which I think there must be a mathematical model behind it. I never bothered to think twice even though I am a "pseudo computer scientist" myself. With the 2010 FIFA World Cup just underway, and since I am also a "pseudo football/soccer player" myself, I just started to wonder about these calculations algorithms. For example, I know one factor is determining the strength of opponents, so that a win against a strong opponent can count more than a win against a weak opponent. But it now kind of gets in a circular loop, or at least how does one determine the strength of a team in the first place, before that team can be considered strong or weak? If it's based on a historical data then there's no way that could be accurate, because those players of the past are no longer on the fields so their impact is none (except maybe if they become coaches like Maradona) Anyway, long question short, if you're happen to be working in this field or have some knowledge, please shed some lights.

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