Top all-time · #25454
Ramhise
Personal blog · ramhiser.comdataai
Ramhise is a personal blog at ramhiser.com about data and ai. Since 2015, 3 different Hacker News readers have linked it 4 times, most often “Configuring IPython Notebook Support for PySpark”. No feed was found, so read it on the site itself.
Too few sampled comments (3) to say how often HN recommends it.?
Why HN links it
HN readers link Ramhiser's practical setup guides, such as installing TensorFlow on AWS and connecting IPython/Jupyter notebooks to PySpark. Commenters cite them as working references for those tasks.
Summarised by Claude from a sample of 3 HN comments that link here. Each comment is marked recommending, critical or neutral (citing without judging); how this works.
My immersion in statistics and machine learning started many years ago when I was still a student.
Most-linked posts?
- Configuring IPython Notebook Support for PySpark2 people · 3 mentions · first linked 2015-04-30
What Hacker News says?
once you have to install a GPU device driver, CUDA, tensorflow itself, related python packages like numpy, and you have choices of native installer, Linux packages, pip, conda, there's potential to find yourself in dependency hell, all of those layers are evolving rapidly. I found these helpful (on AWS) - http://ramhiser.com/2016/01/05/installing-tensorflow-on-an-a... - http://tleyden.github.io/blog/2015/11/22/cuda-…
Comment linking /2016/01/05/installing-tensorflow-on-an-aws-ec2-instance-with-gpu-support/
on “Hello, Tensorflow”Submitted Configuring IPython Notebook Support for PySpark as a story · 1 points
HN discussionInteresting. I wonder how this compares to an IPython notebook? While I haven't tried it, I imagine that you can use pyspark from an IPython notebook and have much of the same functionality as with Apache Zeppelin. Makes me wonder if it wouldn't have been better to just extend IPython notebooks instead of starting a new project. Edit: How to run PySpark from an IPython notebook[1] [1] http://ramhiser.com/2015/02/01/…
Comment linking /2015/02/01/configuring-ipython-notebook-support-for-pyspark/
on “Apache Zeppelin – Interactive analytics on Spark”- nl · 2015-11-05
Getting IPython/Jupyter connected to Spark isn't hard. I did it following a combination of these two guide: http://ramhiser.com/2015/02/01/configuring-ipython-notebook-... http://thepowerofdata.io/configuring-jupyteripython-notebook... Edit, if this is interesting then... https://news.ycombinator.com/item?id=10496385
Comment linking /2015/02/01/configuring-ipython-notebook-support-for-pyspark/
on “SystemML: Machine learning made easier (open source)”
