akrisanov

Task	ns	us	ms
L1 cache reference	0.5
Branch mispredict	5
L2 cache reference	7			14x L1 cache
Mutex lock/unlock	25
Main memory reference	100			20x L2 cache, 200x L1 cache
Compress 1K bytes with Zippy	3,000	3
Send 1K bytes over 1 Gbps network	10,000	10
Read 4K randomly from SSD*	150,000	150		~1GB/sec SSD

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# heights and positions are available as lists

# Import numpy
import numpy as np

# Convert positions and heights to numpy arrays: np_positions, np_heights
np_positions = np.array(positions)
np_heights = np.array(heights)

# Heights of the goalkeepers: gk_heights

akrisanov

import matplotlib.pyplot as plt
import numpy as np

np.random.seed(123)
all_walks = []

# Simulate random walk 250 times
for i in range(250) :
    random_walk = [0]
    for x in range(100) :

akrisanov

# Define plot_pop()
def plot_pop(filename, country_code):

    # Initialize reader object: urb_pop_reader
    urb_pop_reader = pd.read_csv(filename, chunksize=1000)

    # Initialize empty DataFrame: data
    data = pd.DataFrame()
    
    # Iterate over each DataFrame chunk

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import numpy

# Print the keys of the MATLAB dictionary
print(mat.keys())

# Print the type of the value corresponding to the key 'CYratioCyt'
print(type(mat['CYratioCyt']))

# Print the shape of the value corresponding to the key 'CYratioCyt'
print(numpy.shape(mat['CYratioCyt']))

akrisanov

import asyncio
loop = asyncio.get_event_loop()

async def hello():
    await asyncio.sleep(3)
    print('Hello!')
    
if __name__ == '__main__':
    loop.run_until_complete(hello())
    

akrisanov

import re
import matplotlib.pyplot as plt
import seaborn as sns

def word_in_text(word, text):
    word = word.lower()
    text = tweet.lower()
    match = re.search(word, text)

    if match:

akrisanov

$ gem install license_finder
$ license_finder
........................................
Dependencies that need approval:
bundler, 1.12.5, MIT
minitest, 5.10.2, MIT
rake, 12.0.0, MIT
simplecov, 0.13.0, MIT
simplecov-html, 0.10.1, MIT

akrisanov

## Backgroud jobs, queue ---------------------------

gem "daemons",                   "1.2.4" # Aug 2016
gem "delayed_job",               "4.1.3" # May 2017
gem "delayed_job_active_record", "4.1.2" # May 2017
gem "delayed_job_web",           "1.4"   # May 2017
gem "stomp",                     "1.4.4" # Jun 2017

## Logs, metrics -----------------------------------

akrisanov

Prelude

I. Preface and Motivation

This guide was written because I don't particularly enjoy deploying Phoenix (or Elixir for that matter) applications. It's not easy. Primarily, I don't have a lot of money to spend on a nice, fancy VPS so compiling my Phoenix apps on my VPS often isn't an option. For that, we have Distillery releases. However, that requires me to either have a separate server for staging to use as a build server, or to keep a particular version of Erlang installed on my VPS, neither of which sound like great options to me and they all have the possibilities of version mismatches with ERTS. In addition to all this, theres a whole lot of configuration which needs to be done to setup a Phoenix app for deployment, and it's hard to remember.

For that reason, I wanted to use Docker so that all of my deployments would be automated and reproducable. In addition, Docker would allow me to have reproducable builds for my releases. I could build my releases on any machine that I wanted in a contai