Or, how the Kübler-Ross model aptly applies to Python 3
The Kübler-Ross model outlines the stages that one goes through in dealing with death:
This is sometimes referred to as the five stages of grief.Some have jokingly called them the five stages of software development. I think it actually matches the Python community's transition to Python 3 . . .
Or, try not to let RHEL/CentOS default installations hold you back
Python 2.6 has been around for over 7 years, first released in 2008 and last released in 2013 (as shown by the nice image provided by Fluent Python on Twitter and used with permission). It's unsupported software at this point as the Python development team only supports a feature release of Python with bugfix releases until the next . . .
Or, the whole unicode/str/bytes thing was done for a reason
This month I held a Q&A at PuPPy (the Puget Sound Python users group) that eventually led to me explaining why Python 3 came into existence and the whole string/bytes deal. I ended up receiving a compliment on the explanation which somewhat surprised me since I naively assumed people knew at this point why Python 3 was created. In . . .
Or, Lessons learned from implementing import
Talk to any developer that inherits some large, old code base that has developed semantics as time has gone on and they will always have something they wished they could change about the code they inherited. After inheriting
import in Python, I too have a list of things I would love to see changed in how it works to make it a bit more sane . . .
Or, help make it easier to get rid of the GIL
If there is one persnickety thing people ask of python-dev it is for the GIL to go away. People view it as this great bugaboo of performance that hinders CPython in a world where single-core chips are becoming extremely rare. Whether the GIL is really a performance killer as some people believe (it really depends on the type of work you want . . .
Or, my experience porting the "Porting Python 2 code to Python 3" HOWTO to a notebook
I happen to be on the team at Microsoft which recently launched an in-preview Jupyter Notebook service in Azure ML Studio. Before this I had heard of Jupyter Notebooks (nee IPython Notebooks) but I had never bothered installing the requisite software to give them a shot. Perhaps it was knowing that scientists seemed to be the major users of . . .
Cover image credit: http://goo.gl/photos/re3FDeopYikjWfbK8