ocefpaf

# See https://www.anaconda.com/understanding-and-improving-condas-performance/ for more info.

# help debug channel issues
show_channel_urls: true

# pip will always be installed with python 
add_pip_as_python_dependency: true

# strict priority and conda-forge at the top will ensure
# that all of your packages will be from conda-forge unless they only exist on defaults

alexpearce

import shelve
import string
import time


class MeasurementDB(object):
    r"""Database for storing measurements, with export to LaTeX macros.

    Example usage:

gdamjan

# -*- encoding: utf-8 -*-
# requires a recent enough python with idna support in socket
# pyopenssl, cryptography and idna

from OpenSSL import SSL
from cryptography import x509
from cryptography.x509.oid import NameOID
import idna

from socket import socket

sashabaranov

Setting up continuous integration for your analysis

Set up virtual machine

Make sure you are subscribed to “Cloud Infrastructure” in CERN services: https://resources.web.cern.ch/resources/Manage/ListServices.aspx

simonw

How to recover lost Python source code if it's still resident in-memory

I screwed up using git ("git checkout --" on the wrong file) and managed to delete the code I had just written... but it was still running in a process in a docker container. Here's how I got it back, using https://pypi.python.org/pypi/pyrasite/ and https://pypi.python.org/pypi/uncompyle6

Attach a shell to the docker container

Install GDB (needed by pyrasite)

apt-get update && apt-get install gdb

alexpearce

# Name of the delta mass variable in the workspace
dmass_var = 'Dst_delta_M'
# Species of the PDF we're about to build
species = 'sig'
workspace.factory('mu_dm_{0}[141, 146]'.format(species))
workspace.factory('sigma_one_dm_{0}[1, 0, 5]'.format(species))
workspace.factory('nsigma_two_dm_{0}[1.5, 1, 3]'.format(species))
workspace.factory('nsigma_three_dm_{0}[1.5, 1, 3]'.format(species))
workspace.factory((
    'expr::sigma_two_dm_{0}('

betatim

# Assume you have a git repo that contains some code
# you would like to use the same repo to create snapshots
# of how exactly the repo looked at certain moments in
# time. For example every time you run `amazing_script.py`
# You want to capture all the things, not just files already
# part of the repo, you don't care about conflicts, just
# take a picture of the directory as it was right at that
# moment.
#
# Is this a good way of doing this?

alexpearce

pbugnion

This gist lets you keep IPython notebooks in git repositories. It tells git to ignore prompt numbers and program outputs when checking that a file has changed.

To use the script, follow the instructions given in the script's docstring.

For further details, read this blogpost.

The procedure outlined here is inspired by this answer on Stack Overflow.

thomasfr

[Unit]
Description=Keeps a tunnel to 'remote.example.com' open
After=network.target

[Service]
User=autossh
# -p [PORT]
# -l [user]
# -M 0 --> no monitoring
# -N Just open the connection and do nothing (not interactive)