NOTE: This is a question I found on StackOverflow which I’ve archived here, because the answer is so effing phenomenal.
If you are not into long explanations, see [Paolo Bergantino’s answer][2].
# set prefix to control-f | |
set -g prefix C-f | |
#unbind system defined prefix | |
unbind C-b | |
# helps in faster key repetition | |
set -sg escape-time 0 | |
# start session number from 1 rather than 0 |
NOTE: This is a question I found on StackOverflow which I’ve archived here, because the answer is so effing phenomenal.
If you are not into long explanations, see [Paolo Bergantino’s answer][2].
Availability and quality of developer tools are an important factor in the success of a programming language. C/C++ has remained dominant in the systems space in part because of the huge number of tools tailored to these lanaguages. Succesful modern languages have had excellent tool support (Java in particular, Scala, Javascript, etc.). Finally, LLVM has been successful in part because it is much easier to extend than GCC. So far, Rust has done pretty well with developer tools, we have a compiler which produces good quality code in reasonable time, good support for debug symbols which lets us leverage C++/lanaguge agnostic tools such as debuggers, profilers, etc., there are also syntax highlighting, cross-reference, code completion, and documentation tools.
In this document I want to layout what Rust tools exist and where to find them, highlight opportunities for tool developement in the short and long term, and start a discussion about where to focus our time an
Note on how to install caffe on Ubuntu. Sucessfully install using CPU, more information for GPU see this link
###Installation
lspci | grep -i nvidia
Install the dependencies for the archiso
package:
(root): pacman -S make squashfs-tools libisoburn dosfstools patch lynx devtools git
I recommend archiso
getting them from git, there is a package in the repositories, however, at this time of writing, it will not work with the instructions below.
So, grab the most recent version from git and install it:
(user): git clone git://projects.archlinux.org/archiso.git && cd archiso
PdfLatex is a tool that converts Latex sources into PDF. This is specifically very important for researchers, as they use it to publish their findings. It could be installed very easily using Linux terminal, though this seems an annoying task on Windows. Installation commands are given below.
sudo apt-get install texlive-latex-base
#!/usr/bin/env python | |
# Note, updated version of | |
# https://github.com/ipython/ipython-in-depth/blob/master/tools/nbmerge.py | |
""" | |
usage: | |
python nbmerge.py A.ipynb B.ipynb C.ipynb > merged.ipynb | |
""" | |
import io |
#!/bin/bash | |
# if spotify is started | |
if [ "$(pidof spotify)" ]; then | |
# status can be: Playing, Paused or Stopped | |
status=`dbus-send --print-reply --dest=org.mpris.MediaPlayer2.spotify /org/mpris/MediaPlayer2 org.freedesktop.DBus.Properties.Get string:'org.mpris.MediaPlayer2.Player' string:'PlaybackStatus'|egrep -A 1 "string"|cut -b 26-|cut -d '"' -f 1|egrep -v ^$` | |
artist=`dbus-send --print-reply --dest=org.mpris.MediaPlayer2.spotify /org/mpris/MediaPlayer2 org.freedesktop.DBus.Properties.Get string:'org.mpris.MediaPlayer2.Player' string:'Metadata'|egrep -A 2 "artist"|egrep -v "artist"|egrep -v "array"|cut -b 27-|cut -d '"' -f 1|egrep -v ^$` | |
album=`dbus-send --print-reply --dest=org.mpris.MediaPlayer2.spotify /org/mpris/MediaPlayer2 org.freedesktop.DBus.Properties.Get string:'org.mpris.MediaPlayer2.Player' string:'Metadata'|egrep -A 1 "album"|egrep -v "album"|cut -b 44-|cut -d '"' -f 1|egrep -v ^$` | |
title=`dbus-send --print-reply --dest=org.mpris.MediaPlayer2.spotify /org/mpris/MediaPlayer2 o |
##VGG16 model for Keras
This is the Keras model of the 16-layer network used by the VGG team in the ILSVRC-2014 competition.
It has been obtained by directly converting the Caffe model provived by the authors.
Details about the network architecture can be found in the following arXiv paper:
Very Deep Convolutional Networks for Large-Scale Image Recognition
K. Simonyan, A. Zisserman