morgulbrut

# !/usr/bin/env python
# encoding: utf-8

from enum import Enum
import serial
import argparse
import logging
import Colorer
import csv

deehzee

Module autoreload

To auto-reload modules in jupyter notebook (so that changes in files *.py doesn't require manual reloading):

# for auto-reloading external modules
# see http://stackoverflow.com/questions/1907993/autoreload-of-modules-in-ipython
%load_ext autoreload
%autoreload 2

danijar

# Working example for my blog post at:
# https://danijar.github.io/structuring-your-tensorflow-models
import functools
import tensorflow as tf
from tensorflow.examples.tutorials.mnist import input_data


def doublewrap(function):
    """
    A decorator decorator, allowing to use the decorator to be used without

brandoncurtis

/*
  AnalogReadSerial
  Reads an analog input on pin 0, prints the result to the serial monitor.
  Attach the center pin of a potentiometer to pin A0, and the outside pins to +5V and ground.
 
 This example code is in the public domain.
 
 Upload this to the Arduino using the Arduino IDE!
 */

1pakch

# A standard way to use Robert Kern's line profiler
# https://github.com/rkern/line_profiler
# is to wrap a function of interest using the @profile decorator
# and then to run the script via
#     kernprof -l script_to_profile.py
# or
#     python -m line_profiler script_to_profile.py.lprof
#
# This approach does not work, however if the function of interest
# is defined outside of the top-level script (or module) since @profile

Zearin

NOTE: This is a question I found on StackOverflow which I’ve archived here, because the answer is so effing phenomenal.

---

Q: How can I make a chain of function decorators in Python?

---

If you are not into long explanations, see [Paolo Bergantino’s answer][2].

killercup

/*
 * I add this to html files generated with pandoc.
 */

html {
  font-size: 100%;
  overflow-y: scroll;
  -webkit-text-size-adjust: 100%;
  -ms-text-size-adjust: 100%;
}

stephenturner

# Fit your model on your expressionset and design matrix
fit  <- lmFit(eset, design)
fit2 <- contrasts.fit(fit, contrast.matrix)
fit2 <- eBayes(fit2)
results <- topTable(fit2)

# get biomart annotation
library(biomaRt)
mart <- useMart("ensembl", dataset="mmusculus_gene_ensembl")
attributes <- c("affy_mogene_1_0_st_v1", "chromosome_name",

brendano

# Written by Brendan O'Connor, brenocon@gmail.com, www.anyall.org
#  * Originally written Aug. 2005
#  * Posted to gist.github.com/16173 on Oct. 2008

#   Copyright (c) 2003-2006 Open Source Applications Foundation
#
#   Licensed under the Apache License, Version 2.0 (the "License");
#   you may not use this file except in compliance with the License.
#   You may obtain a copy of the License at
#