mborch

16 ms·

121.
by mborch 12y ago
While definitely superfluous, it arguably makes it easier to read and scan.
122.
by mborch 12y ago
>>> from pprint import pprint; pprint(list_of_tuples)
123.
by mborch 12y ago
I think this is intentional. Django's manage command is already extensible, so if you're using Django then perhaps it's best to use its tool chain.
124.
by mborch 12y ago
I would count lengths and offsets with respect to characters (codepoints). Note that for fixed-length encodings such as "raw", "ascii", or "latin-1", this always means bytes.
125.
by mborch 12y ago
I think HTTP request and response headers make a great example. You read a raw stream of bytes line by line (8-bit fixed), and split on newlines. In this protocol we know that each string is "latin-1", so we can extract and decode
126.
by mborch 12y ago
I can see how that could be a useful optimization for nodes already in UTF-8, but in my scheme, the rope would have to accommodate fixed-width codecs such as "raw" and "latin-1", too. For instance, if you read bytes from
127.
by mborch 12y ago
The Zen of Python claims "There should be one-- and preferably only one --obvious way to do it." I think multiple string types go against that. It is the simplicity that makes it practical; not an argument of purity in my opinion.
128.
Python's missing string type(maltheborch.com)
10 points by mborch 12y ago|9 comments
129.
by mborch 13y ago
He means that it's a wormhole that you can't get yourself out of, initially because you're too invested to give it up, and going forward, because it's become a part of the application and as such, can't be taken out
130.
by mborch 13y ago
You could use mutex locking on the file system to avoid the race conditions.
131.
by mborch 13y ago
Celery is typically used with RabbitMQ, which is an advanced message broker. If you don't need the complexity (most don't), need persistence, transactional guarantees and already have PostgreSQL in your stack, then the pq-library
132.
by mborch 13y ago
With PostgreSQL, you can use advisory locks and other little tricks to get better performance, e.g. https://github.com/malthe/pq/blob/master/pq/__init__.py#L224
133.
by mborch 13y ago
I wrote https://pypi.python.org/pypi/pq , a transactional task queue for PostgreSQL, depends only on psycopg2. It does about 1000 ops per second, depending on your database configuration, network etc.
134.
by mborch 13y ago
They're based in Nairobi and they run a technology innovations lab there.
135.
PQ is a transactional queue for PostgreSQL in Python(pypi.python.org)
4 points by mborch 13y ago|0 comments
136.
Protobufs ported to Python 3(maltheborch.com)
3 points by mborch 14y ago|0 comments
137.
by mborch 14y ago
There isn't much more to it. As said in another comment, it's a "classical transfer pricing case". Google Translate doesn't do a very good job though: > Neither Honey, Microsoft or the IRS IRS wants to comment on the pending tax to DR2.
138.
Hogging all cores with Python(maltheborch.com)
4 points by mborch 14y ago|0 comments