dideler

Most (or all) of these methods make use of ANSI escape sequences.

Straight-up

For example, using a dictionary:

ansi = {'underline': '\033[4m', 'bold': '\033[1m', 'end':'\033[0m'}
print '{[bold]}Hello World{[end]}'.format(ansi, ansi)

rmcgibbo

Scientific Python From Source

This document will walk you through compiling your own scientific python distribution from source, without sudo, on a linux machine. The core numpy and scipy libraries will be linked against Intel MKL for maximum performance.

This procedure has been tested with Rocks Cluster Linux 6.0 (Mamba) and CentOS 6.3.

Compiling Python From Source

zedar

Apache Hadoop - add native libraries

If native libraries are not available the following message is displayed with every hadoop command: hadoop checknative

WARN util.NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable

• Clone hadoop source code

loderunner

ld – Wading through Mac OS X linker hell

Intro

Friend: I tried looking at static linking in Mac OS X and it seems nearly impossible. Take a look at this http://stackoverflow.com/a/3801032

Me: I have no idea what that -static flag does, but I'm pretty sure that's not how you link to a library. Let me RTFM a bit.

Minutes later...

cbaziotis

def dot_product(x, kernel):
    """
    Wrapper for dot product operation, in order to be compatible with both
    Theano and Tensorflow
    Args:
        x (): input
        kernel (): weights
    Returns:
    """
    if K.backend() == 'tensorflow':

ageron

import numpy as np
from tensorflow import keras
import traceback

class ResidualBlock(keras.layers.Layer):
    def __init__(self, n_layers, n_neurons, **kwargs):
        super().__init__(**kwargs)
        self.n_layers = n_layers
        self.n_neurons = n_neurons
        self.hidden = [keras.layers.Dense(n_neurons, activation="elu",