michaelosthege

import imageio
import os, sys

class TargetFormat(object):
    GIF = ".gif"
    MP4 = ".mp4"
    AVI = ".avi"

def convertFile(inputpath, targetFormat):
    """Reference: http://imageio.readthedocs.io/en/latest/examples.html#convert-a-movie"""

mlocati

@echo off

setlocal
call :setESC

cls
echo %ESC%[101;93m STYLES %ESC%[0m
echo ^<ESC^>[0m %ESC%[0mReset%ESC%[0m
echo ^<ESC^>[1m %ESC%[1mBold%ESC%[0m
echo ^<ESC^>[4m %ESC%[4mUnderline%ESC%[0m

offchan42

ATTENTION PLEASE

This gist has been moved to https://github.com/offchan42/machine-learning-curriculum

Please see that repository instead because you can make pull requests there and later updates will be pushed there too.

===

Machine Learning Curriculum

michaellihs

SSH Server with the Python Twisted Library

Installing the library

Assuming you have Python installed on your system:

pip install twisted
pip install pyOpenSSL
pip install service_identity

develost

# Execute select in pgAdmin
# write result to file
"""
select encode(my_bin_field,'base64')
from my_schema.my_table
where id=123;
"""
# Remove column name from generated file

import base64 

naranjja

Do
Msgbox "This is a simple infinite loop"
Loop

vladikoff

Setup Persistent Aliases & Macros in Windows Command Prompt (cmd.exe) using DOSKey

Saved from Archive.org, Date: May 14, 2010 Author: Jesse Webb

http://web.archive.org/web/20140330024520/http://devblog.point2.com/2010/05/14/setup-persistent-aliases-macros-in-windows-command-prompt-cmd-exe-using-doskey/

Our development machines here at Point2 are not standardized; we have a mixture of Windows XP, 7, and Mac OSX/Unix computers. I find myself constantly switching back and forth between command prompt interfaces when pair programming. As a result, I catch myself using “ls” to list a directories contents regardless of what system I am on. I am currently using a Windows XP machine for my developer box and I wanted to setup an alias to the “ls” command to actually perform a “dir”. Here is how I accomplished it…

There is a command available in a Window’s shell that let’s you “alias” command to whatever you please: DOSKey. It allows you to create “macros” to execute one or more other commands with a custom nam

feczo

Pre-requisite: go to http://www.chiark.greenend.org.uk/~sgtatham/putty/download.html download http://the.earth.li/~sgtatham/putty/latest/x86/putty.exe and http://the.earth.li/~sgtatham/putty/latest/x86/puttygen.exe

Run puttygen and generate the key

1. Click 'Generate' move the mouse around as instructed and wait

adamjohnson

"Help, I keep getting a 'Permission Denied (publickey)' error when I push!"

This means, on your local machine, you haven't made any SSH keys. Not to worry. Here's how to fix:

1. Open git bash (Use the Windows search. To find it, type "git bash") or the Mac Terminal. Pro Tip: You can use any *nix based command prompt (but not the default Windows Command Prompt!)
2. Type cd ~/.ssh. This will take you to the root directory for Git (Likely C:\Users\[YOUR-USER-NAME]\.ssh\ on Windows)
3. Within the .ssh folder, there should be these two files: id_rsa and id_rsa.pub. These are the files that tell your computer how to communicate with GitHub, BitBucket, or any other Git based service. Type ls to see a directory listing. If those two files don't show up, proceed to the next step. NOTE: Your SSH keys must be named id_rsa and id_rsa.pub in order for Git, GitHub, and BitBucket to recognize them by default.
4. To create the SSH keys, type ssh-keygen -t rsa -C "your_email@example.com". Th

jboner

Latency Comparison Numbers (~2012)
----------------------------------
L1 cache reference                           0.5 ns
Branch mispredict                            5   ns
L2 cache reference                           7   ns                      14x L1 cache
Mutex lock/unlock                           25   ns
Main memory reference                      100   ns                      20x L2 cache, 200x L1 cache
Compress 1K bytes with Zippy             3,000   ns        3 us
Send 1K bytes over 1 Gbps network       10,000   ns       10 us
Read 4K randomly from SSD*             150,000   ns      150 us          ~1GB/sec SSD