About this blog
This blog is mostly about my pursuits in Data Science. Previous blog entries also dealt with storage, compute, virtualization and professional services. Currently the focus is on Data Science, including Big Data, Hadoop, Business Intelligence, Data Warehouse, Data Integration and Visualization. From time to time I will blog about other things of interest. The opinions expressed in this blog are entirely my own and should not be taken as the opinion of my employer.Blogroll
Category Archives: Software Engineering
pip Exception: Traceback (most recent call last):
After installing anaconda you may notice an error when you execute pip list: Brian-Feenys-Mac-Pro:~ bfeeny$ pip list . . . Exception: Traceback (most recent call last): File “/Users/bfeeny/anaconda/lib/python2.7/site-packages/pip/basecommand.py”, line 134, in main status = self.run(options, args) File “/Users/bfeeny/anaconda/lib/python2.7/site-packages/pip/commands/list.py”, line 80, in … Continue reading
Fixing broken JPackage Ant rpm for use with 3rd party JARs such as Ivy
I was building a Hadoop stack in my lab recently, which requires installing quite a bit of software. I try to use RPM’s when I can, especially if they are part of the distribution I am using. I am currently … Continue reading
Posted in Software Engineering
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In engineering, optimization can be your worst enemy
To summarize from an excellent book I am reading, Effective Java by Joshua Bloch: There are three aphorisms concerning optimization that everyone should know. More computing sins are comitted in the name of efficiency (without necessarily achieving it) than for … Continue reading
Posted in Software Engineering
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