Dropbox in linux mint

Hmm. It doesn't work.
I see the icon when i do
dropbox stop
dropbox start
but I cannot clic on it.

Installed nemo-dropbox. At least now I have "Copy dropbox link" command in menu.
Don't forget to do
$ killall nemo
after installation to make it work.

Final Solution

source 
Use 
dropbox stop && dbus-launch dropbox start
Or 
Do: opening 'Preferences' -> 'Startup Applications' and editing the dropbox entry so the command now reads:
CODE: SELECT ALL
dbus-launch dropbox start

 update might overwrite the change. I think it's better to leave the existing entry alone (only disabled) and create a new entry (e.g. "Launch DropBox") with the new start command (`dbus-launch dropbox start`)

C++ IDE for linux


CLion is awesome but expensive.

Found Codelite http://www.codelite.org on http://stackoverflow.com/a/1775460.
Looks good. No disgust after 10 minutes of work.

I was able to debug C code of Numpy in Virtualenv.
1. Launched from console after activating of virtual environment
> source ./<path to activate>/activate
2. add breakpoints
3. Run (F5)

Debugging numpy (any C code of Python) using gdb

I created a tiny python script that executes some python code, that executes some C code:

# contents of dbg_broadcast.py
import numpy
print list(numpy.broadcast([[1,2]],[[3],[4]]))

> gdb python
GNU gdb (Ubuntu 7.7.1-0ubuntu5~14.04.2) 7.7.1
Copyright (C) 2014 Free Software Foundation, Inc.
License GPLv3+: GNU GPL version 3 or later <http://gnu.org/licenses/gpl.html>
This is free software: you are free to change and redistribute it.
.................. bla bla bla ..................................................

# Adding breakpoint to function "arraymultiter_new" (example):
(gdb) break arraymultiter_new

# There is name completition by Tab.
# Run script
(gdb) run dbg_broadcast.py 
Starting program: /home/asdasd/work/bin/python dbg_broadcast.py
[Thread debugging using libthread_db enabled]
Using host libthread_db library "/lib/x86_64-linux-gnu/libthread_db.so.1".

Breakpoint 1, arraymultiter_new (__NPY_UNUSED_TAGGEDsubtype=0x7ffff6abbf80 <PyArrayMultiIter_Type>, 
    args=0x7ffff32dd050, kwds=0x0) at numpy/core/src/multiarray/iterators.c:1578
1578 {
(gdb) 


And here we are.