| import logging | |
| from rest_framework import serializers | |
| class GeneralModelSerializer(serializers.ModelSerializer): | |
| """ General model serializer that will serialize a model object. It will return all the model fields. | |
| """ | |
| class Meta: | |
| model = None |
To 'clone' a container, you'll have to make an image of that container first, you can do so by "committing" the container. Docker will (by default) pause all processes running in the container during commit to preserve data-consistency.
For example;
docker commit --message="Snapshot of my container" my_container my_container_snapshot:yymmdd
| """ | |
| Physics simulation with PyODE followed by a (basic) rendering with Vapory | |
| See the result here: http://i.imgur.com/TdhxwGz.gifv | |
| Zulko 2014 | |
| This script is placed in the Public Domain (Licence Creative Commons 0) | |
| """ |
(by @andrestaltz)
If you prefer to watch video tutorials with live-coding, then check out this series I recorded with the same contents as in this article: Egghead.io - Introduction to Reactive Programming.
| var externalObj = {key: 'value'}; | |
| var items = { | |
| obj: { | |
| 'string prop': 'string val', | |
| 5: 10, | |
| nested: [[3, [5, 2]]], | |
| 'function': function(){return true;}, | |
| reference: externalObj | |
| }, |
| def hexdump( src, length=16, sep='.' ): | |
| ''' | |
| @brief Return {src} in hex dump. | |
| @param[in] length {Int} Nb Bytes by row. | |
| @param[in] sep {Char} For the text part, {sep} will be used for non ASCII char. | |
| @return {Str} The hexdump | |
| @note Full support for python2 and python3 ! | |
| ''' | |
| result = []; |
| import time | |
| from pycallgraph import PyCallGraph | |
| from pycallgraph.output import GraphvizOutput | |
| class CallgraphMiddleware(object): | |
| def process_view(self, request, callback, callback_args, callback_kwargs): | |
| if settings.DEBUG and 'graph' in request.GET: | |
| pycallgraph = PyCallGraph(output=GraphvizOutput(output_file='callgraph-' + str(time.time()) + '.png')) |
Install the line_profiler module:
[driti@ubuntu ]$ pip install line_profilerAdd the @profile decorator and run:
[driti@ubuntu ]$ kernprof.py -l -v example.py
| #!/bin/bash | |
| FILES=`git ls-tree --name-only HEAD .` | |
| MAXLEN=0 | |
| IFS=$(echo -en "\n\b") | |
| for f in $FILES; do | |
| if [ ${#f} -gt $MAXLEN ]; then | |
| MAXLEN=${#f} | |
| fi | |
| done |
| from bitarray import bitarray | |
| import mmh3 | |
| class BloomFilter: | |
| def __init__(self, size, hash_count): | |
| self.size = size | |
| self.hash_count = hash_count | |
| self.bit_array = bitarray(size) | |
| self.bit_array.setall(0) |