stephensekula

from vpython import *
import math

# Create a display
scene2 = canvas(title='Kaluza-Klein Extra Dimensions - 5D',
                x=0, y=0, width=1024, height=768,
                center=vector(0,-20,0), background=vector(0,0,0))

mcnees

\documentclass[crop=true, border=10pt]{standalone}

\usepackage{amsmath}
 
\usepackage{graphicx}
\usepackage{xcolor}

\usepackage{tikz}
\usetikzlibrary{arrows.meta}

mcnees

\documentclass[crop=true, border=10pt]{standalone}

 
\usepackage{graphicx}
\usepackage{xcolor}

\usepackage{tikz}
\usetikzlibrary{arrows.meta}

\usepackage{tikz-3dplot}

ibab

import numpy as np
import tensorflow as tf
from scipy.optimize import minimize
import matplotlib
matplotlib.use('PDF')
import matplotlib.pyplot as plt

# Generate dataset
data = np.random.normal(0, 1, 1000)

dguest

# bash completion function for hdf 'h5ls'
_h5ls()
{
    local cur prev opts WORDS end
    COMPREPLY=()
    cur="${COMP_WORDS[COMP_CWORD]}"
    prev="${COMP_WORDS[COMP_CWORD-1]}"
    opts="-h --help -d --data -r --recursive -S --simple"

    local TAIL_WD=$(( ${#COMP_WORDS[@]} - ${COMP_CWORD} - 1 ))

betatim

$ kubectl logs -f jupyter-diana-2dhep-2dpyhf-2d652kacgz                                                                                                   (sk-phoebe)
[I 13:08:48.908 NotebookApp] Writing notebook server cookie secret to /home/jovyan/.local/share/jupyter/runtime/notebook_cookie_secret
[I 13:08:49.393 NotebookApp] JupyterLab extension loaded from /srv/conda/lib/python3.6/site-packages/jupyterlab
[I 13:08:49.393 NotebookApp] JupyterLab application directory is /srv/conda/share/jupyter/lab
[I 13:08:50.390 NotebookApp] nteract extension loaded from /srv/conda/lib/python3.6/site-packages/nteract_on_jupyter
[I 13:08:50.393 NotebookApp] Will shut down after 600 seconds with no kernels or terminals.
[I 13:08:50.395 NotebookApp] Serving notebooks from local directory: /home/jovyan
[I 13:08:50.395 NotebookApp] The Jupyter Notebook is running at:
[I 13:08:50.395 NotebookApp] http://(jupyter-diana-2dhep-2dpyhf-2d652kacgz or 127.0.0.1):8888/user/diana-hep-pyhf-652kacgz/?token=...
[I 13:08:50.395 NotebookApp

betatim

import requests
import time

S = requests.Session()

now = time.time()
while True:
    r = S.get(YOUR_HOST_HERE)
    now_ = time.time()
    delta_t = now_ - now

mattleblanc

import ROOT
from ROOT import gROOT,gPad,gStyle,TCanvas,TFile,TLine,TLatex,TAxis,TLegend,TPostScript

import os

global canvas, canvas

ROOT.gROOT.SetBatch(True)
ROOT.gStyle.SetOptStat(False)
ROOT.gStyle.SetOptTitle(False)

neggert

import matplotlib.pyplot as plt
import numpy as np
import inspect

def hist_errorbars( data, xerrs=True, *args, **kwargs) :
    """Plot a histogram with error bars. Accepts any kwarg accepted by either numpy.histogram or pyplot.errorbar"""
    # pop off normed kwarg, since we want to handle it specially
    norm = False
    if 'normed' in kwargs.keys() :
        norm = kwargs.pop('normed')

willgm

Stylus@3.1.0
angularjs@0.3.5
angularjs-styleguide-snippets@0.9.1
atom-jasmine@0.8.1
atom-ternjs@0.16.1
atom-typescript@10.1.12
clipboard-history@0.6.6
duplicate-line-or-selection@0.9.0
editorconfig@2.0.5
emmet@2.4.3