karpathy

"""
Minimal character-level Vanilla RNN model. Written by Andrej Karpathy (@karpathy)
BSD License
"""
import numpy as np

# data I/O
data = open('input.txt', 'r').read() # should be simple plain text file
chars = list(set(data))
data_size, vocab_size = len(data), len(chars)

myusuf3

To remove a submodule you need to:

• Delete the relevant section from the .gitmodules file.
• Stage the .gitmodules changes git add .gitmodules
• Delete the relevant section from .git/config.
• Run git rm --cached path_to_submodule (no trailing slash).
• Run rm -rf .git/modules/path_to_submodule (no trailing slash).
• Commit git commit -m "Removed submodule "
• Delete the now untracked submodule files rm -rf path_to_submodule

bsweger

Useful Pandas Snippets

A personal diary of DataFrame munging over the years.

Data Types and Conversion

Convert Series datatype to numeric (will error if column has non-numeric values)
(h/t @makmanalp)

sparticlesteve

#!/usr/bin/env python

# Set up ROOT and RootCore
import ROOT
ROOT.gROOT.Macro('$ROOTCOREDIR/scripts/load_packages.C')

# Initialize the xAOD infrastructure
ROOT.xAOD.Init()

# Set up the input files (PDSF)

nfaggian

from __future__ import print_function

import multiprocessing
import ctypes
import numpy as np

def shared_array(shape):
    """
    Form a shared memory numpy array.
    

juderosen

Git Wars: GitHub vs Bitbucket

Introduction

Now, you might think the answer I'm going to give you is already obvious because I'm using GiHub right now, but it's not. Both GitHub and Bitbucket offer great Git services, but each has its own features and pricing plans. In the following... thing, I'm going to compare the two and then offer a final solution that should work for most people.

TL;DR: Both. Use GitHub for open source and public repos (you'll spend most of your time here) and Bitbucket for private repos. But, sign up for GitHub first, then import account into Bitbucket. Also, check comments for updates. P.S. I personally prefer GitHub.

Interface and Functionality

mazurov

"""
Helper module for displaying ROOT canvases in ipython notebooks

Usage example:
    # Save this file as rootnotes.py to your working directory.
    
    import rootnotes
    c1 = rootnotes.default_canvas()
    fun1 = TF1( 'fun1', 'abs(sin(x)/x)', 0, 10)
    c1.SetGridx()

chitchcock

Stevey's Google Platforms Rant

I was at Amazon for about six and a half years, and now I've been at Google for that long. One thing that struck me immediately about the two companies -- an impression that has been reinforced almost daily -- is that Amazon does everything wrong, and Google does everything right. Sure, it's a sweeping generalization, but a surprisingly accurate one. It's pretty crazy. There are probably a hundred or even two hundred different ways you can compare the two companies, and Google is superior in all but three of them, if I recall correctly. I actually did a spreadsheet at one point but Legal wouldn't let me show it to anyone, even though recruiting loved it.

I mean, just to give you a very brief taste: Amazon's recruiting process is fundamentally flawed by having teams hire for themselves, so their hiring bar is incredibly inconsistent across teams, despite various efforts they've made to level it out. And their operations are a mess; they don't real