Insync – Bringing Google Drive to Linux

Google Drive

I am quite a happy Google users for most of the time. I enjoy most of the Google products, e.g. Gmail, Nexus, etc. but not really for Google Drive.


Google Drive is the Google’s cloud storage service, where users can store their files, music, whatever digital file to the cloud for free. The service has been released since 2012 and it is available for Windows and Mac users but not for Linux users.

Perhaps it is because only 2% Linux users in the population? It sounds irony when we found that Google has been working on Linux (Android and ChromeOS are Linux for quite sometimes.

Perhaps there are too many Linux operating systems in the market that cause the issues of incompatibility and hassle? I don’t think so as Dropbox (another free cloud storage service provider) has released its Linux client since years ago. They can do it, why can’t Google?

Perhaps Google is just reluctant to do so?

Continue reading “Insync – Bringing Google Drive to Linux”

Linux Mint Maya KDE – Hibernation Issue in Dell Vostro 3450

Hibernation is a must-have feature in a laptop. I can work on my programming, then hibernate the machine in 30 seconds, take a nap and resume the machine to the state before it hibernates in 30 seconds and continue my work — I can just continue my work from I stop seamlessly. However, the hibernation function seems to be missing in Linux Mint Maya (KDE) in my Dell Vostro 3450. The followings are the patches to overcome this issue.

The patches include:
1. Prepare the scripts to hibernate.
2. Make an hibernation icon in the start menu.
3. Solve the noisy fan issue (due to the hybrid card) after resume from hibernation.

Continue reading “Linux Mint Maya KDE – Hibernation Issue in Dell Vostro 3450”

Solving Simultaneous Equations with Python

I own a very old fashion scientific calculator and it can’t solve any simultaneous equations like those new calculators (not even 2×2!). The situation goes worst when I try to do my Circuit Theory tutorial, in which I need to solve many simultaneous equations. Can’t I just concentrate on forming the equations and let someone to solve them for me?

Well! Let the Python do it!

All you have to do is forming the proper equations. Then, fire up the following script. Key in the proper coefficients of each equation when Python asks.

Please feel free to copy and use it anywhere you like.


import numpy as np

print 'How many variables ?'
print '>> ',
total_variable = int(raw_input())

# User key in all the variable numbers

equation_list = []

for i in range(total_variable):
    print 'Please enter the coefficients of the #%d equation.' % (i+1)
    print 'For example: (1)*x0 + (2)*x1 = (3) ---> "1 2 3"'
    print '>> ',
    user_input = raw_input()
    user_token_str = user_input.split()
    assert (len(user_token_str)== (total_variable +1))
    user_token = [float(u) for u in user_token_str]

equation_arr = np.array(equation_list)

# A * X = Y
# Given A and Y, we need to find X.

Y_arr = equation_arr[:, -1:]
A_arr = equation_arr[:, :-1]

print 'Y_arr:' , Y_arr
print 'A_arr:' , A_arr

X_arr = np.linalg.solve(A_arr, Y_arr)

print 'Answer:'
for i, x in enumerate (X_arr):
    print 'x%d value: %f' % (i, x)