higepon

import numpy as np
import tensorflow as tf
from tensorflow.python.layers import core as layers_core

hparams = tf.contrib.training.HParams(
    batch_size=3,
    encoder_length=4,
    decoder_length=5,
    num_units=6,
    src_vocab_size=7,

wchargin

from __future__ import absolute_import
from __future__ import division
from __future__ import print_function


import csv
import errno
import os
import re

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

jgravois

Do I have a web server running?

---

having a web server turned on doesn't necessarily mean you are serving pages on the world wide web. its what allows you to load your own static files (.html, .js etc.) in a browser via http://.

if you're not sure whether or not you have a web server running, no problem! its easy to confirm.

what happens when you visit http://localhost/?

tsiege

ANNOUNCEMENT

I have moved this over to the Tech Interview Cheat Sheet Repo and has been expanded and even has code challenges you can run and practice against!






\

raineorshine

# adding and committing
git add -A                        # stages All
git add .                         # stages new and modified, without deleted
git add -u                        # stages modified and deleted, without new
git commit --amend                # Add staged changes to previous commit. Do not use if commit has been pushed.
git commit --amend --no-edit      # Do so without having to edit the commit message.

# remotes - pushing, pulling, and tracking
git fetch                         # gets remote objects and refs. Needed if new branches were added on the remote.
git remote -v                     # Lists all remotes (verbose)

why-not

"""making a dataframe"""
df = pd.DataFrame([[1, 2], [3, 4]], columns=list('AB'))

"""quick way to create an interesting data frame to try things out""" 
df = pd.DataFrame(np.random.randn(5, 4), columns=['a', 'b', 'c', 'd'])

"""convert a dictionary into a DataFrame"""
"""make the keys into columns"""
df = pd.DataFrame(dic, index=[0])