Assembly code for generating Fibonacci series

Fibonacci

shortest code by JEERAMETH KLOMSING

Cat     Add 7
        Sta 7
        Out
        Add 99 
        Sta 99
        Out
        Bra Cat
        Dat 1

code by Som-O

      LDA  A
      OUT
      OUT
      ADD  A
      STA  B
      OUT
      ADD  A
      STA  A
      OUT
      ADD  B
      BRA  4
      HLT
A     DAT  1
B     DAT  1
---------------------------------------
Clear memory
by Wasit
begin   lda x
        add one
        sta x
x       dat 305
        bra begin

one     dat 1

Pi microscope

1. Removing the lens by using two pins to turn the lense cover in anti-clockwise direction

2. removing the eyepiece of the microscope and replaced by the Pi camera

3. Here I used an old calibration sample. The distance between two lines is 0.2mm (200 micron)

4. The the tiny number on sample is scaled up and inverted on screen

5. When I used 4x objective lense

6. and 10x

7. Finally the 40x objective lens. At this magnification the image was quite blur and it showed significant color aberration.

8. by adjusting location of condensing lens below the sample has improved the quality.

In the image7, the space between two black lines was scaled up to almost completely filled the width of window (2592 x 1944). Roughly about 12.5 pixel per micron. An this will be helpful in my project, which I need to look cells, which has size around 10 to 50 micron.

pickle

After writing and loading JSON files several times to record and read a object of tree structure, I found it quite difficult to minimize the size of the JSON files because some floating point number in the object is printed to character and take up more memory space.  Google for few seconds, I found a solution to save files more efficiently. Surprisingly it is easy solution from socksolution.com. Pickle is going to save my file and my sleeping time as well. Here is the solution.

To record the object to file:

import pickle
pickleFile = open('root.pickle', 'wb')
pickle.dump(root, pickleFile, pickle.HIGHEST_PROTOCOL)
pickleFile.close()



To read the file to the object:

pickleFile = open('root.pickle', 'rb')
root = pickle.load(pickleFile)

pickleFile.close()


Tadaa!

Top programming languages

What is the best programming language? A IEEE spectrum article on top list programming gave a good conclusion. Java seems to be the top and widely used. C/C++ has long history and become standard for low level application for embedded systems. Python is at the 4th for the web application. I personally like Python because it easy to maintain and fast coding!

from: Nick Diakopoulos, top 10 programming languages, IEEE spectrum

I also did a diagram according to technology of some popular websites by simply extract the words in columns and put them in D3 wordcloud. 

“Front-end”, “Back-end”, Database, JavaScript, C, C++, Go, Java, Python, BigTable, JavaScript, Hack, PHP, C++, Java, Python, Erlang,  D, Xhp, MySQL, HBase, Flash, JavaScript, C, C++, Python, Java, MySQL, BigTable, JavaScript, JavaScript,  PHP, MySQL, PostgreSQL, JavaScript, ASP.NET, “Microsoft_SQL_Server”, JavaScript, ASP.NET, “Microsoft_SQL_Server”, JavaScript, PHP, MySQL, MariaDB, JavaScript, Python, BigTable, JavaScript, ASP.NET, “Microsoft_SQL_Server”, JavaScript, C++, Java, Scala, Ruby, Rails, MySQL, JavaScript, PHP, MySQL, JavaScript, Java, C++, Perl, JavaScript, Java, JavaScript, “Oracle_Database”, JavaScript, Java, JavaScript, Scala, JavaScript, C# , ASP.NET, MVC, “Microsoft_SQL_Server” 

test ipython.parallel

from IPython import parallel
c = parallel.Client(packer='pickle')
c.block = True
print(c.ids)

dview = c.direct_view()
dview.block = True
print(dview)

dview.execute('import numpy as np')

###using execute

dview.execute('a=np.random.randint(0,5,size=(1,2))')

print("a:\n{}".format(dview.gather('a')))

###using run

f=open('iptest.py','w')

f.write('import numpy as np\nb=np.zeros(shape=(1,4),dtype=np.int32)')

f.close()

dview.run('iptest.py')

print("b:\n{}".format(dview.gather('b')))

print type(dview.gather('b')[0,0])

###using dictionary

dview['c']=np.ones(shape=(2,3),dtype=np.int8)

print("a:\n{}".format(dview.gather('c')))

print type(dview.gather('c')[0,0])

---------------output------------------
[0, 1, 2]
<DirectView all>
a:
[[4 0]
 [4 1]
 [3 2]]
b:
[[0 0 0 0]
 [0 0 0 0]
 [0 0 0 0]]
<type 'numpy.int32'>
a:
[[1 1 1]
 [1 1 1]
 [1 1 1]
 [1 1 1]
 [1 1 1]
 [1 1 1]]
<type 'numpy.int8'>

To resize images

I used ffmpeg to scale the width to 480 pixels.

------------------------resize.bat------------------------
mkdir out
FOR %%A IN (*.jpg) DO (
    c:\tools\ffmpeg\bin\ffmpeg -i "%%A" -vf "scale=-1:480" "out/%%A.jpg"
)

Setting up a single node IPython Notebook

Install IPython

  After installing IPython by sudo apt-get install ipython-notebook, we can follow the instruction here to setup a public notebook. The steps are below:

note: this works for my old desktop
$ sudo apt-get install python-pip
$ sudo pip install ipython[all] --upgrade

1. create a certificate
$ openssl req -x509 -nodes -days 365 -newkey rsa:1024 -keyout mycert.pem -out mycert.pem

2. generate a hashed password in IPython environment
In [1]: from IPython.lib import passwd
In [2]: passwd()
Enter password:
Verify password:
Out[2]: 'sha1:xxx:yyy'

3. create a notebook profile
$ ipython profile create wasit

4. edit /home/ubuntu/.ipython/profile_wasit/ipython_notebook_config.py by the following code:
c = get_config()
c.IPKernelApp.pylab = 'inline'
c.NotebookApp.certfile = u'/home/ubuntu/.ipython/profile_wasit/mycert.pem'
c.NotebookApp.ip = '*'
c.NotebookApp.open_browser = False
c.NotebookApp.password = u'sha1:xxx:yyy'
c.NotebookApp.port = 8888
c.NotebookApp.enable_mathjax = True

5. then we can start the notebook by going to particular directory and run the script
$ipython notebook --profile=wasit
or
$ipthon notebook --certfile=mycert.pem

However, the session will be terminate and we no longer run the job. In order to redirect the terminal output and keep the job run after terminating ssh, we should put the command in the 5th step in somescript.sh and run this
$ nohup ./somescript.sh </dev/null &