Python Bits and Pieces

2017-06-02 · 4 min read

Install Python 3

On macOS:

brew install python3

Ubuntu 16.04, Debian 8, and other versions of Debian Linux ship with both Python 3 and Python 2 pre-installed.

apt-get install build-essential libssl-dev libffi-dev python-dev
apt-get install -y python3-pip
apt-get install -y python3-venv

Create virtual environment

Virtual environments provide an isolated space for Python projects, ensuring that each of them have its own, isolated set of dependencies.

python3 -m venv ~/.venv/NAME
source ~/.venv/NAME/bin/activate

Inside virtual environments you can use python command instead of python3 and pip command instead of pip3.

Freeze requirements

pip freeze > requirements.txt
import sys
print('your error message', file=sys.stderr)
print "Who lives in a Pineapple under the sea? \n{name}.".format(name=name)
print "my {0} string: {1}".format("cool", "Hello there!")

%-syntax is deprecated in Python 3.


" ".join(["aaa", "bbb", "ccc"])
" ".join(str(item) for item in my_list)


import os
>>> filepath
>>> os.path.dirname(filepath)
import glob
>>> glob.glob('./*.txt')
['./outline.txt', './pip-log.txt', './test.txt', './testingvim.txt']
for root, dirs, files in os.walk(directory):
    for file in files:
        if file.endswith('.txt'):
            print file
import glob
for f in glob.iglob("/mydir/*/*.txt"):
    print f

Read multiple YAML files

import yaml
import glob

configs = map(lambda x: yaml.load_all(open(x)), glob.glob("*.yaml"))

for config in configs:
     for item in config:
         print item


results = [i * j for i in range(1, 4) for j in range(1, 5)]

from itertools import product
results = [i * j for i, j in product(range(1, 4), range(1, 5))]

Transpose Matrix

matrix = []
for i in range(1, 4):
    row = []
    for j in range(1, 5):
        row.append(i * j)

matrix = [[i * j for j in range(1, 5)] for i in range(1, 4)]

transposed = [list(row) for row in zip(*matrix)]

transposed = list(map(list, zip(*matrix)))


Extract elements from a dict:

def extract(dictionary, keys):
     return dict((k, dictionary[k]) for k in keys if k in dictionary)

Extract elements from a dict using dict-comprehensions

{k: dictionary[k] for k in dictionary if k not in keys}

Remove all keys that begin with a letter s:

for k in dic.keys():
  if k.startswith('s_'):
for k in dic.keys():
  if k.startswith('s_'):
    del dic[k]

del is slightly faster.

using dict-comprehension in Python 3

{k, v: for k, v in dic.items() if not k.startswith("s_")}

in Python 2

dict((k, v) for k, v in dic.items() if not k.startswith("s_"))

Remove several keys

>>> a
{'a': 1, 'c': 3, 'b': 2, 'd': 4}
>>> keys = ["b", "c"]
>>> print {key: a[key] for key in a if key not in keys}
{'a': 1, 'd': 4}

Python convention is to use list comprehensions (or generator expressions) to achieve the same result as a call to map, particularly if you're using a lambda expression.

Cartesian product

from operator import add
reduce(add, map(lambda i: map(lambda j: (i, j), lst), lst))
from itertools import product
list(product(lst, lst))

itertools contains functions that help doing functional-style lazy-evaluation programming in Python.

itertools.imap() is just like map() but it stops as soon as the shortest iterable stops.

itertools.imap(maptest, foos, itertools.repeat(bars))

Flash messages in Flask

flash('You were successfully logged in')
return redirect(url_for('index'))
{% with messages = get_flashed_messages() %}
  {% if messages %}
    <ul class=flashes>
    {% for message in messages %}
      <li>{{ message }}</li>
    {% endfor %}
  {% endif %}
{% endwith %}

Invoke an RPC method

$ python -c 'import xmlrpclib; print xmlrpclib.Server("http://host:8080").methodName(param,param2)'

Time Python invocations

$ python -m timeit -s "import json" "json.dumps({'a':'a'})"
100000 loops, best of 3: 5.98 usec per loop

Get random element from array

arr = [ ... ]
el = arr[int(math.floor(random.random() * len(arr)))]

Run SMTP, HTTP or CGI server

$ python -m smtpd -n -c DebuggingServer localhost:25
$ python -m SimpleHTTPServer 8080
$ python -m CGIHTTPServer 9080

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