Top all-time · #4109
Travis Oliphant
Personal blog · technicaldiscovery.blogspot.comprogrammingdatascience
Travis Oliphant writes Technical Discovery, a personal blog at technicaldiscovery.blogspot.com about programming, data and science. Since 2011, 19 different Hacker News readers have linked it 23 times, most often “Thoughts on porting NumPy to PyPy”. The last post was in 2018, but the archive is still widely read.
Too few sampled comments (9) to say how often HN recommends it.?
Why HN links it
HN readers link Travis Oliphant's blog, written by the original NumPy author, for posts on NumPy funding, porting NumPy to PyPy, and why conda exists. Comments cite it as background on scientific Python.
Summarised by Claude from a sample of 9 HN comments that link here. Each comment is marked recommending, critical or neutral (citing without judging); how this works.
Most-linked posts?
- Thoughts on porting NumPy to PyPy5 people · 5 mentions · first linked 2011-10-16
- Anaconda and Hadoop – a story of the journey and where we are now2 people · 2 mentions · first linked 2016-03-30
- Reflections on Anaconda as I start a new chapter with Quansight2 people · 2 mentions · first linked 2018-03-06
- Why I promote conda2 people · 2 mentions · first linked 2013-12-06
- PyPy can be faster than NumPy2 people · 2 mentions · first linked 2011-07-05
- NumFOCUS past and future by Travis Oliphant2 people · 2 mentions · first linked 2017-02-05
What Hacker News says?
Original NumPy author here. I have a lot to say on this topic, given that it has literally consumed my life over the past 20 years. You can go here for some thoughts about some of this: http://technicaldiscovery.blogspot.com/ There are several articles there that relate but in particular http://technicaldiscovery.blogspot.com/2012/10/continuum-and... and http://technicaldiscovery.blogspot.com/2017/02/numfocus-past..…
Comment linking /2017/02/numfocus-past-and-future.html
on “Why Is NumPy Only Now Getting Funded?”Submitted Thoughts on porting NumPy to PyPy as a story · 150 points
HN discussionThis post made me think of this article: http://technicaldiscovery.blogspot.com/2011/10/thoughts-on-p... For those who don't know, Travis Oliphant is the creator of NumPy and(?) SciPy. It's a good read and it puts some of the issues with a port into perspective.
Comment linking /2011/10/thoughts-on-porting-numpy-to-pypy.html
on “PyPy funded to begin support for Python 3 and Numpy”Submitted NumFOCUS past and future as a story · 3 points
HN discussionIt's likely to take a while. See Travis's post: http://technicaldiscovery.blogspot.com/2011/10/thoughts-on-p... There are two main problems he sees - numpy is a moving target (as it continues to evolve), and the C-API of numpy is one of its most useful features (as lots of numpy extensions like Scipy and matplotlib may require it).
Comment linking /2011/10/thoughts-on-porting-numpy-to-pypy.html
on “PyPy 1.7 released: widening the sweet spot”Submitted NumFOCUS past and future by Travis Oliphant as a story · 3 points
HN discussionFYI: I think your last link should be " http://technicaldiscovery.blogspot.com/" . There doesn't seem to be an active site at blogpost.com.
Comment linking /%22
on “Python on Wheels”Submitted Why I promote conda as a story · 3 points
HN discussionThere's more inertia here than you may be thinking. See this recent HN headliner about the difficulty of getting the NumPy/SciPy community to merely move from CPython to PyPy: http://technicaldiscovery.blogspot.com/2011/10/thoughts-on-p... If that's a challenge, good luck getting a lot of NotProgrammers to move to a completely different language. Besides, if I may be blunt, who in Rubyland cares if these guys are on…
Comment linking /2011/10/thoughts-on-porting-numpy-to-pypy.html
on “Ruby is beautiful (but I'm moving to Python)”Submitted PyPy can be faster than NumPy as a story · 3 points
HN discussionIf anyone needs more color, Travis, the CEO of continuum and the author of NumPy just wrote a great post explaining why conda exists, and why virtualenv and pip aren't sufficient for the scientific python community. http://technicaldiscovery.blogspot.com/2013/12/why-i-promote...
Comment linking /2013/12/why-i-promote-conda.html
on “Why I hate virtualenv and pip”Submitted Zen of NumPy as a story · 2 points
HN discussionThoughts on porting NumPy to PyPy: http://technicaldiscovery.blogspot.com/2011/10/thoughts-on-p...
Comment linking /2011/10/thoughts-on-porting-numpy-to-pypy.html
on “Julia is a high-level, high-performance dynamic programming language”Submitted Reflections on Anaconda as I start a new chapter with Quansight as a story · 2 points
HN discussionNumPy is not fast enough, that's the problem ( http://technicaldiscovery.blogspot.com/2011/07/speeding-up-p... ). In scientific applications, the code calling it is rarely the bottleneck-- if it is you might be doing something wrong. The biggest bottlenecks I encounter are a) computation and b) data serialization / deserialization (especially if a database of some kind is involved)
Comment linking /2011/07/speeding-up-python-again.html
on “PyPy: NumPy funding and status update ”Submitted Bringing Python to Hadoop as a story · 2 points
HN discussionThese are the guys who left Enthought ( http://www.enthought.com/ ) to start Continuum Analytics: http://technicaldiscovery.blogspot.com/2012/01/transition-to... http://continuum.io/
Comment linking /2012/01/transition-to-continuum.html
on “Numba - A NumPy aware (LLVM-based) optimizing compiler for Python”Submitted Anaconda and Hadoop – a story of the journey and where we are now as a story · 2 points
HN discussionSubmitted Reflections on Anaconda as I start a new chapter with Quansight as a story · 1 points
HN discussionSubmitted John Hunter 1968-2012: Reflections from Travis Oliphant as a story · 1 points
HN discussionSubmitted Numba and LLVMPy as a story · 1 points
HN discussion
