benmezger

#!/bin/bash
mkdir /tmp/curl-ca-bundle
cd /tmp/curl-ca-bundle
wget http://curl.haxx.se/download/curl-7.22.0.tar.bz2
tar xzf curl-7.22.0.tar.bz2
cd curl-7.22.0/lib/
./mk-ca-bundle.pl
if [ ! -d /usr/share/curl/ ]; then
	sudo mkdir -p /usr/share/curl/
else

benmezger

# Randoms.py:

import random
import hahaha
import hihihi
print "Hello, this is the end of the file"

# check_module.py

In [1]: from modulefinder import ModuleFinder

benmezger

In [65]: rp.set_url("https://www.facebook.com/robots.txt")

In [66]: rp.can_fetch("Hello_crawler", "http://www.facebook.com")
Out[66]: True

In [67]: rp.can_fetch("Hello_crawler", "http://www.facebook.com/sharer/")
Out[67]: True

benmezger

In [2]: import robotparser

In [3]: x = robotparser.
robotparser.Entry            robotparser.RuleLine         robotparser.urllib           
robotparser.RobotFileParser  robotparser.URLopener        robotparser.urlparse         

In [3]: x = robotparser.RobotFileParser()

In [4]: x.set_url("http://www.google.com/robots.txt")

benmezger

Configuring nginx for SSL SNI vhosts

Gotchas

• Note that SHA2 hash algorithm may be not supported on older systems (Windows XP, Windows 2003, among others).
• Be aware that mandatory https on SNI vhosts eliminate [Internet Explorer on Windows XP, among others] (http://en.wikipedia.org/wiki/Server_Name_Indication#Web_browsers.5B6.5D).

Remarks

• My version of konklones SSL config does not have SPDY support(my nginx+openssl does not support it)
• You need a default ssl server (example.org-default.conf).
• Some SSL-options have to be unique across your instance, so it's easier to have them in a common file(ssl.conf).

benmezger

# to generate your dhparam.pem file, run in the terminal
openssl dhparam -out /etc/nginx/ssl/dhparam.pem 2048

benmezger

# read more at https://terrty.net/2014/ssl-tls-in-nginx/
# latest version on https://gist.github.com/paskal/628882bee1948ef126dd/126e4d1daeb5244aacbbd847c5247c2e293f6adf
# security test score: https://www.ssllabs.com/ssltest/analyze.html?d=terrty.net
# your nginx version might not have all directives included, test this configuration before using in production against your nginx:
# $ nginx -c /etc/nginx/nginx.conf -t

server {
        # public key, contains your public key and class 1 certificate, to create:
        # (example for startssl)
        # $ (cat example.com.pem & wget -O - https://www.startssl.com/certs/class1/sha2/pem/sub.class1.server.sha2.ca.pem) | tee -a /etc/nginx/ssl/domain.pem > /dev/null

benmezger

Markdown and reStructuredText

GitHub supports several lightweight markup languages for documentation; the most popular ones (generally, not just at GitHub) are Markdown and reStructuredText. Markdown is sometimes considered easier to use, and is often preferred when the purpose is simply to generate HTML. On the other hand, reStructuredText is more extensible and powerful, with native support (not just embedded HTML) for tables, as well as things like automatic generation of tables of contents.

benmezger

<pre id="bar"><a id="blog">BLOG</a>  XOR  <a id="about" title="">ABOUT</a>  XOR  <a id="code">CODE</a> XOR <a id="photos" title="">PHOTOS</a></pre></td></tr>

    <script>
      function makeUrl(_id){
        var protocol = window.location.protocol;
        var url = window.location.host.replace("www.", "");
        var new_url = protocol + "//" + _id + "." + url;
        document.getElementById(_id).setAttribute("href", new_url);
      }
      makeUrl("blog");

benmezger

Comprehensions in Python the Jedi way

Beautiful is better than ugly. Explicit is better than implicit.

-- The Zen of Python

I frequently deal with collections of things in the programs I write. Collections of droids, jedis, planets, lightsabers, starfighters, etc. When programming in Python, these collections of things are usually represented as lists, sets and dictionaries. Oftentimes, what I want to do with collections is to transform them in various ways. Comprehensions is a powerful syntax for doing just that. I use them extensively, and it's one of the things that keep me coming back to Python. Let me show you a few examples of the incredible usefulness of comprehensions.

All of the tasks presented in the examples can be accomplished with the extensive standard library available in Python. These solutions would arguably be more terse and efficient in some cases. I don't have anything against the standard library. To me there is a certain