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Wednesday, October 5, 2011

[Song] Gloves 2 Ali - OST Initial D



I float like a butterfly, sting like a bee,
Keys to the ignition are like gloves to Ali.
To and fro, water in the sea,
The sunrise is my peace.
[Repeat]

I ride the distance, nature in me,
Nirvana coming through with my delivery.
To and fro, mountains and sea,
The twilight sets me free.
[Repeat]

- "Gloves 2 Ali" by Ghost Style

Wednesday, August 3, 2011

Comparing the PROC & RAM performance of Ubuntu 11.04 with Windows 7

My Rig Thinkpad T420 41785ZA detail spec just google it, the only different just the RAM configuration 2 x 4GB

Comparing processor and memory perfomance using Geekbench2.1.13 in Windows 7 and Ubuntu. Only use Geekbench the 32 bit version (because the 64bit cost $19.99).

Detailed running schema + result:

Also i test it using commonly programming language(python + mpmath with gmpy) i used:
-The configuration and detailed python spec: (Click the image to view it bigger)
windows 7

ubuntu 11.04

-The Running time i give it try to run several times(executed +-5times, to see the best result, and give python(mpmath module) a chance to load(cached) into RAM)
windows 7

ubuntu 11.04

Monday, June 27, 2011

Arbitrary Precision using Python Mpmath

Mpmath is great, powerful and easy to use to calculating equation that involve floating point.
I found several article that could be used to find minimal setting for arbitrary precision, enough the chat, let my code do the talk..

Software that used:
  • python ver 2.6.5 in ubuntu 10.04 64 bit
  • python EPD(Enthought Python Distribution) ver 7.0-2 32 bit in windows 7 64 bit, no default mpmath installation under python epd, but its available via sympy(included ver 0.14 mpmath)
  • python mpmath ver 0.17, http://code.google.com/p/mpmath/
  • gmpy -> python binding for GMP
  • sage version 4.7 64bit for ubuntu10.04  http://www.sagemath.org/

Below are 2 equations that could be used for searching significant setting for mpmath arbitrary precision.
1. Interval Arithmetic: Python Implementation and Applications by Stefano Taschini in SciPy2008_proceedings.pdf
GMPY Backend

SAGE Backend


Python Backend


2. Why and how to use arbitrary precision by Kaveh R. Ghazi, Vincent Lefèvre, Philippe Théveny, Paul Zimmermann in cise.pdf
GMPY Backend




SAGE Backend


Python Backend



Conclusion
  • different BACKEND in mpmath did not effect in result and mpmath.mp context(setting for arbitrary precision), just gives an performance effect(sage faster, than gmpy, last python) 
  • mpmath prec value that could be gives most precision is not less than 128 bit (mpmath.mp.prec=128)
  • creating a mpf object is better to converted into string data type first( mp.mpf('0.1') or mp.mpf(str(0.1)))
  • better doing a arithmetic rational operation when possible see first code that solved using sympy

Tuesday, June 21, 2011

Install OpenCL and PyOpenCL in Ubuntu 10.04 LTS Lucid Lynx 64 bit

After playing with Scientific Linux 6 with OpenCL and PyOpenCL, I decided to bring it into my primary OS, and yes it is Ubuntu 10.04 LTS Lucid Lynx 64 bit.

Searching through the net, I found two ways to install OpenCL

Because my previous experience in SL6 is worked, so i liked to doing so within my ubuntu.

Things that needed by my system for OpenCL(testing that it works by executing 'make all' in your $AMDAPPSDKROOT -> i put it on "/home/user/AMD-APP-SDK-v2.4-lnx64/", this will built samples application that included in samples folder)
  • read the guide AMD_APP_SDK_Installation_Notes.pdf (it just extract and put a conf in /etc dir)
  • install libglu1-mesa-dev (in my case the package(header files) that missing is only this, so might be different on your system!), this needed when build a OpenCL samples
  • also add a AMDAPPSDK in your $PATH in .bashrc file like this
Below are some screenshoot to test sample applications under AMD-APP-SDK-v2.4-lnx64/samples/opencl/bin/x86_64/ directory if the installation of AMDAPPSDK and is working:
test using HelloCL
test using GlobalMemoryBandwidth




and notice if running an OpenCL program using all processor thread(because i didn't have a GPU capable for OpenCL

And now for PyOpenCL(made by Andreas Klöckner at http://mathema.tician.de/software/pyopencl )
To install correctly please enable the internet connectivity its needed to install required python dependency module.

In my system is need to install libboost1.40-all-dev, python-numpy and python-libxslt. (Both are available from ubuntu repository). Using command from terminal -> sudo apt-get install libboost1.40-all-dev python-numpy python-libxslt

Installing PyOpenCl:
  • download PyOpenCL from PyOpenCL
  • Notice when execute configure.py : python configure.py   --cl-inc-dir=$AMDAPPSDKROOT/include   --cl-lib-dir=$AMDAPPSDKROOT/lib/x86_64   --cl-libname=OpenCL
  • then -> python setup.py build
  • finnally -> sudo python setup.py install
test PyOpenCL using examples benchmark-all.py

BTW  I'm just noticed that python in ubuntu is faster than in Scientific Linux 6, and it same 64 bit, same laptop.

    Saturday, May 14, 2011

    Musing with booting time in Scientific Linux 6, Ubuntu Lucid, Windows 7


    Just comparing in booting and login time between Scientific Linux 6, Ubuntu Lucid Lynx 10.04.2 LTS, Windows 7 Home Premium Service Pack 1, all system in 64 bit version.

    All system already installed many software that can be used for daily activity like listening various audio formats, watching various video formats, office productivity, internet browsing, updated to the current version, installed in the same HDD(one laptop) with 4 partitions(Win 7, Ubuntu, SL, swap for Linux), development programs installed(C/C++ library, java SDK, python), converting audio/video(SL not).

    Specific system configuration:
    • Ubuntu mostly installed by many programs(my primary workstation), i didn't tuned it at all. Installed since it alpha version and just doing upgrade until now version 10.04.2 LTS, using live CD version 64 bit.
    • SL only for fun and learning a red hat based distro. Installed from a 64 bit live DVD version.
    • Windows, i use it for other software that Ubuntu not had yet, like visio, wathing HD movie using ATI vga instead using the AMD processor. And it installed an Antivirus from Microsoft Security Essential cause it rarely false alarm, and firewall using windows default, i knew it could boot faster without it, but it will make me installing windows again and again, many non Microsoft programs turned off on startup like java server, matlab server, etc. This Windows already installed when i bought the laptop, urgh yikes :( , i wonder how much the cost reduced while it not included Windows 7 :p .

    The tests result

    Below is the code to draw the figure(bar chart comparison) above, using Python with matplotlib module
    
    #!/usr/bin/python
    
    from matplotlib.pylab import arange, bar, xticks, title, ylabel, grid, show, legend
    
    # ubuntu, sl, win
    ut = [39, 7, 6]; st = [50, 10, 13]; wt = [44, 122, 20]
    
    idx = arange(3)
    wdx = 0.25
    
    grid()
    ub = bar(idx, ut, wdx, color='orange')
    sb = bar(idx+wdx, st, wdx, color='red')
    wb = bar(idx+wdx+wdx, wt, wdx, color='blue')
    legend((ub[0], sb[0], wb[0]), ('Ubuntu 10.04', 'SL 6', 'Windows 7'))
    
    xticks(idx+wdx, ('Booting', 'Login', 'Shutdown'))
    ylabel('time in seconds')
    title('Less is better')
    show()
    
    My measurement procedure:
    • using stopwatch in Nokia N900 so my fingers reaction time are to be considered
    • all systems booted from grub2 provided by Ubuntu lucid
    • booting time measured from grub2 until it show login window
    • log on time measured from pressing enter(password already entered) in login window until it show desktop and ready to use(including the LED of HDD not blinking again), well i can use(open a program) while the LED still blinking but it took the same time just like i wait LED off then open a program(yes in this case only happened with windows 7)
    • just open an open office writer in all system, then close it
    • shutdown time measured from pressing shutdown until the laptop turned off.

    Tuesday, April 19, 2011

    Scientific Linux 6

    Scientific Linux 6 based on Red Hat 6
    Using 64 bit LiveDVD(around 2.2GB) download link SL-60-x86_64-2011-03-07-LiveDVD.iso
    Installed to Acer Ferrari One(AMD Athlon X2 L310 1.2Ghz, 4 GB DDR2 RAM, vga ATI Radeon HD3200)

    Some work todo:
    • change hostname -> /etc/sysconfig/network and edit this line HOSTNAME="<hostname>"
    • install ati proprietary driver from ati website, (made compiz works, but booting with default plymouth(ugly) verbose, 3d accel work)
    • enabling other repo(note: many dependency problem ocurred if enabling many repo at the same time), see below
    install atrpms-repo-6-4.el6.x86_64.rpm
    wiki EPEL repo for redhat, install epel-release-6-5.noarch.rpm
    download latest rpmforge-release from http://packages.sw.be/rpmforge-release/


    Test result for the moment:
    worked well
    • webcam
    • power management -> sleep, hibernate
    • audio
    • display with 3d accel, compiz
    • vga port to external display(better than in ubuntu lucid 64 bit that hang when the monitor res are not meet the conf)
    • bluetooth
    • wifi
    • lan

    worked but uhmm:
    • firefox weird, lag when scrollng page, so just install chrome(work well, no lag) from google directly http://www.google.com/chrome/ , use 'rpm -Uvh google-chrome-stable_current_x86_64.rpm' and  need to install redhat-lsb pkg first
    • battery performance not as good as in ubuntu lucid lynx 64 bit  now battery fine after install ati proprietary driver

    http://www.scientificlinux.org/

    Install OpenCL and PyOpenCL in Scientific Linux 6 (RHEL 6, CEntOS 6)

    My rig is 64 bit system with RedHat 6 based OS, but my fera not supported for OpenCL using VGA(3200), so it using SSE2 from L310 processor  :(

    Note that my Scientific Linux 6 installed from a 64 bit LiveDVD version, so might be a different step if using LiveCD.

    Installing AMD APP:
    Test using a sample
    $ ./HelloCL
    HelloCL!
    Getting Platform Information
    Creating a context AMD platform
    Getting device info
    Loading and compiling CL source
    Running CL program
    Done
    Passed!

    Installing PyOpenCl:
    • download PyOpenCL from PyOpenCL
    • make sure C++ compiler(g++), python, numpy, C++ boost library are installed
    • Tricky when execute configure.py: python configure.py   --cl-inc-dir=$HOME/AMD-APP-SDK-v2.4-lnx64/include   --cl-lib-dir=$HOME/AMD-APP-SDK-v2.4-lnx64/lib/x86_64   --cl-libname=OpenCL
    • then just make -> su -c "make install"

    Result Test Running examples benchmark-all.py
    $ ./benchmark-all.py
    ('Execution time of test without OpenCL: ', 34.952448844909668, 's')
    =============================================
    ('Platform name:', 'AMD Accelerated Parallel Processing')
    ('Platform profile:', 'FULL_PROFILE')
    ('Platform vendor:', 'Advanced Micro Devices, Inc.')
    ('Platform version:', 'OpenCL 1.1 AMD-APP-SDK-v2.4 (595.10)')
    ---------------------------------------------------------------
    ('Device name:', 'AMD Athlon(tm) X2 Dual Core Processor L310')
    ('Device type:', 'CPU')
    ('Device memory: ', 3706, 'MB')
    ('Device max clock speed:', 1200, 'MHz')
    ('Device compute units:', 2)
    Execution time of test: 0.00733989 s
    Results OK

    Monday, April 11, 2011

    LTI Transient-Response Analysis using Python(numpy, scipy, matplotlib)

    In undergraduate Engineering Physics, i learn how to modelling a system by using a mathematical model of the system, to analyze the character of the system.

    This script can be used to generate plot as in the Book of Modern Control Engineering 4th edition, International Edition, by Katsuhiko Ogata, Prentice Hall

    Once when taking a subject Automatic Control is often to make a plot of LTI system, that generated in s(signal) domain by transforming mathematical model of the system using Laplace Transformation.

    This example i took from page 307 of that book.
    To plot transfer function =
    (6.3223 s^2 + 18 s +12.811) / (s^4 + 6 s^3 + 11.3223 s^2 + 18s + 12.811)

    The plot generated by those script as below

    Pertama Kali Pake OS Berbasis GNU Linux

    Gak kerasa, udah 3 tahun gw pake GNU Linux, waktu itu gara2 punya netbook super lemot acer aspire one a110 yg versi Linux, so default OS nya Linux, lupa distro-nya apa namanya.

    Speknya Intel Atom generasi pertama yg N270, RAM cm 1 GB n gk bisa dual channel pula nih RAM, tp bkn komponen utama(CPU n RAM) yg bikin tuh laptop lemot, tapi harddisk-nya yg ternyata cm memory sejenis flashdisk yg berkapasitas 8GB dan kemampuan Read-Write-nya very poor banget dah..

    Dah gitu tuh OS bawaanny buset gk bisa dibuat apa2 n gk eye catching sama sekali, paling cm utk task2 sedehana macem ketik2 kebutuhan office n dengerin MP3. Disini gw nyoba ganti ke windows XP, yah gw saat itu adalah org Indonesia yg umum sekali sebagai pengguna produk bajakan, tp FAIL, lalu gw coba ganti ke windows 7(yah bajakan lagi) n sama FAIL.

    Yah FAIL, krn ternyata windows terlalu bnyk Read-Write ke harddisk, dan harddisk gw lemot puoooll, jd tuh LED indicator nyala terus n gk bisa dipake sama sekali tuh netbook jadinya.

    Kemudian gw tny ama mbah Google seputar problem solving utk masalah ini, dan membawa suatu pencerahan utk menggunakan Linux pada laptop lemot ini, wah sial mana gw gk bisa Linux lg, iya kalo gw anak Informatika atw sebangsanya bakal no problem dah utk bljr OS ginian. Maka keyword selanjutnya yg gw tny ke mbah Google adlh Linux for Newbie Dumies... wkwkwkwk... Dan si mbah jawab "Ubuntu"...

    Baca2 sana sini di internet utk install Linux... Dan akhirnya netbook gw yg lemot itu ternyata bisa running normal pas pake Ubuntu GNU Linux...

    Waktu itu jg bnyk2 coba distro Linux lainnya, macem Fedora, PCOSLinux, OpenSuse, Mandriva, tp kayakny yg buat nubitol Linux itu Ubuntu deh...
    Karena Ubuntu yg ternyata basisnya dari Debian, bisa bikin "everything just works" krn Ubuntu yg paling up to date dlm hal kompatibilitas hardware...

    Mulai saat itu hingga kini, gw menemui banyak fakta yg ternyata teknologi windows yg sifatnya proprietary gak ada apa2nya kalo seandainya vendor2 hardware memberikan full support ke Linux...

    Sampai saat blog ini gw tulis, gw lg pake Firefox 4 di Ubuntu Lucid Lynx 64 bit 10.04 eit tapi dengan laptop yang berbeda... Yah gw dah ganti pake Acer Ferrari One(gw namain fera) skr...

    OS bawaannya yg orisini(cieh ori) tetep gw simpen, for just in case kalo ada software yg reseh cm ada utk windows...

    Sunday, April 10, 2011

    The Story of Linux: Commemorating 20 Years of the Linux Operating System



    I'am celebrating 20 years of Linux...

    Scientific Computing with Python Webinar 9/18/2009:Curve Fitting

    Interpolation with SciPy and NumPy

    Scientific Computing with Python Webinar March 19: 3D Visualization with Mayavi

    Scientific Applications with Python

    Enthought Inc @ slideshare

    Wednesday, March 30, 2011

    Tuesday, March 29, 2011

    [Video] Scientific and parallel computing using IPython

    Video how to use IPython for parallel computing made by unpingco in ShowMeDo http://showmedo.com/videotutorials/series?name=N49qyIFOh

    Also appeared in Ohio SuperComputer Center, titled Python for Scientific and Large Scale Computing
    https://www.osc.edu/cms/sip/

    Even the video do it in windows xp, i tested in Ubuntu 10.04 Lucid 64bit also worked for me, with IPython ver 0.10 , python 2.6.5

    Thursday, March 24, 2011

    Basic Using Scite for editing source code and running program

    Sebelum bermain-main(atau serius) dalam menggunakan python sebagai scientific/engineering programming
    Sebaiknya kuasai dulu tools-nya, belajar scite(sebagai code editor) dulu aja ah.

    ## Scite ##
    Astaga besar sekali font pada editornya saat ane mo coba nulis source code,
    cara ganti->  Options > Open Global Options File
    lalu edit bagian pada line 328, ubah size menjadi 10(atw bisa disesuaikan dengan mata masing2) seperti berikut
        font.monospace=font:Lucida Console,size:10

    Oke mata udah nyaman saatny coding...
    PENTING sebelum menulis kode, simpan file dulu dalam ekstensi .py misal kode gue ksh nama foo.py (Halah belom nulis dah ngesave dulu LOL). Tujuannya agar fitur indentasi dan syntax coloring(kodenya warna-warni oiy).

    Selanjutnya silahkan coba kode berikut ditulis.
    # ditulis setelah symbol '#' adalah comment, tdk di eksekusi oleh python
    # classic test is print hello world in terminal/command prompt
    print('Hello Python')
    
    # membuat fungsi f(x) = x^2 + 4x + 2
    def f(x):
        return (x**2 + 4*x + 2)
    '''
    identasi sangat penting di python
    def f(x):
    return (x**2 + 4*x + 2)
    SALAH
    '''
    # memberikan nilai untuk y = f(x) dengan x = 9
    x = 9
    # cek nilai x
    print('Nilai x ='), (x)
    
    # hitung f(x) dgn x = 9, dan berikan hasilnya ke y
    y = f(x)
    
    # print hasil
    print("Nilai y ="), (y)
    
    # nilai x dari 0 - 10  
    # walau sblmny sdh diberikan x = 9, maka x akan diganti dgn isi yg baru
    x = range(11) # dapat jg dituliskan seperti -> x = [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
    
    # hitung y dengan cara
    y = [ f(i) for i in x]
    
    # cek hasil x dan y yg baru
    print('x yg baru'), (x)
    print('y yg baru'), (y)
    
    # plot hasil nya
    # pertama import module pyplot dari matplotlib
    from matplotlib import pyplot as plt 
    # meng-import pyplot sekaligus mempersingkat nama module nya menjadi plt
    
    # plot nilai y terhadap x, dan memberikan label utk legenda
    plt.plot(x, y, label='x^2 + 4x + 2')
    
    # meng-set label x
    plt.xlabel('x')
    # meng-set label y
    plt.ylabel('f(x)')
    
    # show label legend utk line y thd x
    plt.legend()
    
    # terakhir menampilkan
    plt.show() # yeah show your plot babe!!
    

    Untuk langsung nge-save  n me-running program, tekan F5...
    It will be look like...

    [Song] Katy Perry - Firework

    Nice song Katy Perry!!!


    Inspiring and motivated lyrics, i admire this song...

    To see the lyrics..



    Hope someone i loved out there, sing this song for me...
    
    
    Do you ever feel like a plastic bag,
    drifting through the wind
    wanting to start again?
    Do you ever feel, feel so paper thin
    like a house of cards,
    one blow from caving in?
    
    Do you ever feel already buried deep?
    6 feet under screams but no one seems to hear a thing
    Do you know that there's still a chance for you
    'Cause there's a spark in you
    
    You just gotta ignite, the light, and let it shine
    Just own the night like the 4th of July
    
    'Cause baby you're a firework
    Come on, show 'em what you're worth
    Make 'em go "Oh, oh, oh"
    As you shoot across the sky-y-y
    
    Baby, you're a firework
    Come on, let your colors burst
    Make 'em go "Oh, oh, oh"
    You're gonna leave 'em all in awe, awe, awe
    
    You don't have to feel like a waste of space
    You're original, cannot be replaced
    If you only knew what the future holds
    After a hurricane comes a rainbow
    
    Maybe you're reason why all the doors are closed
    So you could open one that leads you to the perfect road
    Like a lightning bolt, your heart will GLOW
    And when it's time, you'll know
    
    You just gotta ignite, the light, and let it shine
    Just own the night like the 4th of July
    
    'Cause baby you're a firework
    Come on, show 'em what you're worth
    Make 'em go "Oh, oh, oh"
    As you shoot across the sky-y-y
    
    Baby, you're a firework
    Come on, let your colors burst
    Make 'em go "Oh, Oh, Oh"
    You're gonna leave 'em all in awe, awe, awe
    
    Boom, boom, boom
    Even brighter than the moon, moon, moon
    It's always been inside of you, you, you
    And now it's time to let it through-ough-ough
    
    'Cause baby you're a firework
    Come on, show 'em what you're worth
    Make 'em go "Oh, Oh, Oh"
    As you shoot across the sky-y-y
    
    Baby, you're a firework
    Come on, let your colors burst
    Make 'em go "Oh, Oh, Oh"
    You're gonna leave 'em all in awe, awe, awe
    
    Boom, boom, boom
    Even brighter than the moon, moon, moon
    Boom, boom, boom
    Even brighter than the moon, moon, moon
    
    
    
    

    Instalasi Python untuk Engineering dan Science di Windows OS

    Paket modul complete dari Enthought, Inc beserta tools pendukungnya bisa di download secara bebas dari
    http://enthought.com/products/edudownload.php
    ya tinggal isi first name, last name, email, institutional lalu klik download deh.. Ukuran sekitar 260 MB, saat nge-blog ini dah versi 7.0.2 , file yg di download epd-7.0-2-win-x86.msi

    Untuk versi 64bit gunakan email akademik.

    Jd gak perlu install manual utk python, numpy, scipy, matplotlib, sympy, ipython seperti  postingan yg utk install di ubuntu, info paket-paket yang ter-bundle ada di http://enthought.com/products/epdlibraries.php

    Waktu nyoba ini ane pake Windows 7 Home edition 64 bit service pack 1, ori loh... Bawaan dari si fera, ferrari.

    Yak untuk install di windows kayaknya gak perlu di share deh, secara bnyk yg pake windows daripada linux.. So sad.. Hiks..  : (
    Tinggal klik sana sini acep ini itu, oh utk directory sebaiknya diganti jd C:\Python27epd\
    Jaga-jaga barangkali nanti mo install python doang dari www.python.org

    Jika sudah selesai maka akan ada shortcut kayak gini..

    Engineering and Scientific using Python

    Why Python and friends(numpy, scipy, matplotlib, SAGE, etc)?
    Why not matlab, mathematica, mathcad, maple and all engineering/scientific non open source software?

    Pendapat pribadi dari saya, it's too many benefits and power to learn and using it as scientific/engineering computing for engineering and science problem solving. Make me confused too tell how i must start from to telling.

    Who used python?
    NASA, Los Alamos, High Energy Physics Large Hadron Collider CERN, and many others engineering/scientific institutional. Google are using it, even python was mentioned by Mark at Social Network Movie. LOL OOT

    Konrad Hinsen from Centre de Biophysique Moléculaire (CNRS Orléans) Synchrotron SOLEIL (Saint Aubin), at euroscipy 2010 conference said "Nobody uses Matlab in my research domain." (Apa karena gak mampu beli Matlab yah?? Ah gak mungkin!! LOL)

    Engineer and scientist already have a lot of task/problem that need to be solved, and python as based for computation programming will make less effort than programming using C/C++, java(syntax-nya itu loh kagak nahan... bikin ndas pecah).
    Eits tapi perlu utk menguasai C/C++, jika ada kalkulasi yg kelas berat sebaiknya ditulis dalam bahasa C/C++, tapi kita juga bisa mencari 'the real C/C++ programmer' untuk mengkonversi kode python yg sudah fix tapi lambat saat kalkulasi, kalo kita gak mampu coding C/C++ sendiri.

    MIT already started to using it for teaching, see http://ocw.mit.edu/index.htm
    and many others institute and university.
    Argh kok di tempatku kagak sih... Kenapa masih pake matlab bajakan, dan bajakan2 lainnya, padahal yah ternyata gampang bahasa pemrogamannya, install gampang, gak bikin berat komputer kalo gak lagi dipake, coba matlab? Doh tuh proses yg namanya matlab sever dah jalan pas windows booting n makan RAM gede pula. Malah pascal di mata kuliah pemprogaman komputernya :(

    I think Google will find the best answer. Just google it!
    BTW a founder of Python programming language(Guido Van Rossum is employed by google.

    Have fun with python for engineering problem solving and scientific research computing!!! :D

    Instalasi Paket Sains(Scientific) dan Teknik(Engineering) di Ubuntu

    Menginstal modul python untuk keperluan Sains(Scientific) dan Teknik(Engineering)
    Spesifikasi saat artikel ini dibuat:
    Ubuntu Lucid Lynx versi 10.04
    numpy versi 1.3; scipy versi 0.7; matplotlib versi 0.99; sympy versi 0.6.6; ipython versi 0.10

    Sebelumnya jangan lupa, harus ada koneksi internet...

    Buka terminal aka command prompt
    Login sebagai root (masukkan password anda)
    
    sudo -i
    
    

    lalu install dengan perintah
    
    apt-get install python-numpy python-scipy python-sympy python-matplotlib python-matplotlib-data
    
    

    dan tekan y untuk melanjutkan
    lalu Ctrl-D utk logout sebagai root


    Untuk menyesuaikan kompatibilitas dengan modul-modul versi EPD(Enthought Python Distribution) di windows, yah itu lah python ada di linux, and ada juga di windows, di N900 gue juga ada, huehehehe...
    Jadi update python-numpy python-scipy python-sympy ke versi yg baru dengan cara memasukan perintah berikut(jgn lupa sebagai root)
    
    easy_install -U numpy
    easy_install -U scipy
    easy_install -U sympy
    
    



    saya mencoba mengupdate modul matplotlib dengan cara yg sama seperti diatas tapi gagal euy.. :(

    Friday, February 25, 2011

    Rumus Cinta dalam Open Source


    Bukan gw yg nulis :p
    Artikel bagus penting untuk di share... :D
    Penulis: Ahmad Saiful Muhajir - detikinet

    Pada tiap sesuatu ada karakter-karakter yang melekat kuat sehingga jika disebutkan karakter tersebut maka akan kembali pada sesuatu tersebut. Detik.com misalnya dikenal dengan beritanya yang cepat. Itulah karakter yang melekat pada Detik.com. Sama seperti Detik.com, open source pun memiliki karakter-karakter yang melekat dan identik sehingga mudah dikenali cukup dengan tahu karakter tersebut.


    Ajaibnya, jika kita mau merunut ternyata karakter-karakter dalam open source tersebut memiliki banyak kesamaan dengan karakter dan rumus dalam cinta. Atau tepatnya dalam menjalin hubungan atas nama cinta.

    1. Berani memulai


    Jika anda mulai merasakan cinta kepada seseorang, anda akan melakukan sesuatu sehingga rasa cinta tersebut bisa terus hidup dan anda dapat memenangkan hatinya. Karena anda tahu bahwa dengan diam saja, maka yang terjadi adalah anda akan kalah dan tidak mendapatkan sang pujaan hati.

    Begitu pun open source. Dunia open source adalah tempat dimana orang-orang berani memulai. Berani memulai untuk berubah. Orang-orang ini berani berubah karena mereka tidak suka akan sesuatu yang bersifat proprietary. Mereka ingin menang tanpa diatur. Mereka ingin menang karena mereka berusaha.

    2. Memberi dan menerima


    Dalam bercinta, dibutuhkan sebuah hubungan yang saling menguntungkan. Simbiosis mutualisme. Anda memberi kepada kekasih dan juga menerima apa yang diberikannya. Open source bisa terus hidup dan berkembang dengan baik adalah karena komponen-komponen di dalamnya mau saling memberi dan menerima. Sebuah kolaborasi dan teamwork.

    3. Passion


    Yang termasuk dibutuhkan dalam menjaga hubungan cinta adalah semangat dan gairah. Ketika seseorang tidak lagi bergairah dengan pasangannya maka ia akan mulai malas dan tidak bersemangat. Dan dapat ditebak apa yang akan terjadi sebagai akhir dari hal tersebut.

    Dan secara alami open source menarik gairah dan memberikan semangat orang-orang yang ingin berubah. Orang-orang dalam dunia open source menjadi bersemangat dan bergairah karena tantangan dan hasil yang akan dicapai dari apa yang mereka kerjakan. Karena mereka tahu bahwa perubahan adalah mereka itu sendiri.

    4. Percaya


    Seorang bijak mengatakan, apalah arti sebuah hubungan yang dibangun tanpa kepercayaan. Seperti halnya cinta, dunia open source menuntut kepercayaan. Open source adalah pekerjaan bersama yang dilakukan dengan banyak orang dari seluruh dunia. Berbagai ras, suku, bahasa dan bangsa. Ada yang pernah bertemu dan banyak yang belum pernah. Tetapi mereka saling percaya dengan pekerjaan dan keahlian masing-masing.

    5. Terbuka


    Dalam membina hubungan, kepercayaan tak akan berarti tanpa keterbukaan. Kepercayaan dapat tumbuh dengan baik jika sifat keterbukaan juga dipelihara. Hanya dengan begitu sebuah hubungan dapat langgeng dan harmonis.

    Open source, seperti namanya, adalah sesuatu yang bersifat terbuka. Baik pengguna maupun pengembang lain dapat membaca dengan jelas apa yang ada dalam kode tersebut dan apa yang akan dilakukannya. Dan terlebih lagi mereka juga dapat dengan mudah melakukan perubahan yang dirasa perlu.

    6. Update

    Membina hubungan bukan soal mudah. Ada masalah-masalah yang kadang membuat frustasi dan menjadikan hubungan renggang. Bisa jadi hanya disebabkan masalah sepele. Tetapi kita terus mencoba memperbaiki sehingga menjadi lebih erat dan lebih baik.

    Dalam open source, istilah ini mirip dengan release early, release often. Sebuah software akan dirilis lebih awal sehingga dapat diuji coba. Dan ketika akhirnya dirilis, software akan diperbaharui dengan versi yang lebih baik dalam tempo yang cukup cepat. Hasilnya adalah sebuah software yang lebih baik setiap saat.

    Mengurus cinta bukanlah perkara mudah. Tetapi dalam kenyataannya cinta terus ada dan tetap ada. Begitu pula open source, tidak mudah dalam perkembangannya tetapi akan tetap ada dan terus berkembang. Selamat belajar open source dan selamat mencinta!

    Tentang Penulis: Ahmad Saiful Muhajir adalah penggiat dan pemerhati Open Source yang sebelumnya aktif di Jawa Tengah Open Source Center. Ia dapat dihubungi di http://saifulmuhajir.me atau melalui Twitter di akun @saifulmuhajir.

    oro...

    "EVERYTHING THAT HAS A BEGINNING HAS AN END"

    -The Matrix Revolution