kduy

Usage

(Create a symlink pytest for py.test)

pytest [options] [file_or_dir] [file_or_dir] ...

Help:

kduy

Oh my zsh.

Install with curl

sh -c "$(curl -fsSL https://raw.githubusercontent.com/robbyrussell/oh-my-zsh/master/tools/install.sh)"

Enabling Plugins (zsh-autosuggestions & zsh-syntax-highlighting)

• Download zsh-autosuggestions by

kduy

When mixing the tracks, we need to consider that they might (and probably have) started at different times. If we were to merge tracks without taking this into account, we would end up with synchronization issues. In our example, since Bob got in the room a good 20s (and that’s really a huge time for synchronization of audios), mixing both Alice’s and Bob’s audio tracks together would end up having one speaking over the other.

To make merging easier, the start time of all tracks from the same room is the creation of the room itself. Let’s get the start times for all the tracks from this room

Get Alice's audio start time

kduy

When mixing the tracks, we need to consider that they might (and probably have) started at different times. If we were to merge tracks without taking this into account, we would end up with synchronization issues. In our example, since Bob got in the room a good 20s (and that’s really a huge time for synchronization of audios), mixing both Alice’s and Bob’s audio tracks together would end up having one speaking over the other.

To make merging easier, the start time of all tracks from the same room is the creation of the room itself. Let’s get the start times for all the tracks from this room

Get Alice's audio start time

kduy

Agnoster
https://medium.com/@genealabs/agnoster-theme-on-os-x-391d60effaf6
https://gist.github.com/renshuki/3cf3de6e7f00fa7e744a

kduy

// Use Gists to store code you would like to remember later on
console.log(window); // log the "window" object to the console

kduy

from __future__ import division, print_function, absolute_import
import pickle
import numpy as np 
from PIL import Image

import tflearn
from tflearn.layers.core import input_data, dropout, fully_connected
from tflearn.layers.conv import conv_2d, max_pool_2d
from tflearn.layers.normalization import local_response_normalization
from tflearn.layers.estimator import regression

kduy

Vagrant Setup

This tutorial guides you through creating your first Vagrant project.

We start with a generic Ubuntu VM, and use the Chef provisioning tool to:

• install packages for vim, git
• create user accounts, as specified in included JSON config files
• install specified user dotfiles (.bashrc, .vimrc, etc) from a git repository

Afterwards, we'll see how easy it is to package our newly provisioned VM

kduy

Remove MySQL completely

1. Open the Terminal

2. Use mysqldump to backup your databases

3. Check for MySQL processes with: ps -ax | grep mysql

4. Stop and kill any MySQL processes

5. Analyze MySQL on HomeBrew:

brew remove mysql

kduy

[user]
	name = Pavan Kumar Sunkara
	email = pavan.sss1991@gmail.com
[core]
	editor = vim
	whitespace = fix,-indent-with-non-tab,trailing-space,cr-at-eol
	excludesfile = ~/.gitignore
[sendemail]
	smtpencryption = tls
	smtpserver = smtp.gmail.com