272 karma · joined May 21, 2010
I received the toaster not too long ago. It looks just like in the advertised pictures and works fine. But the language on the last page of the user manual (see picture) makes it clear that LOFTER is offering customers a "gift" in return for leaving a review. Perhaps they're within their right to do that but it makes me not trust the rest of the reviews on this product.
A few days later I got an email from Amazon identical to the one in the submitted blog post[3]. I've stopped trusting positive reviews on Amazon. These days I only look at the negative reviews to see if there's a consistent complaint about the product.
[1] www.amazon.com/dp/B07S3TXD9H/ [2] https://cutt.ly/lhLZQ5o [3] https://cutt.ly/JhLZTjZ
MBP 2013 with integrated graphics, running Mojave and the latest stable public release of Firefox. I haven't messed with about:config.
Disclaimer: personal side project
[0] http://csvkit.readthedocs.org/en/latest/scripts/csvlook.html
Edit: I just found out about the remote debugging feature in PyCharm which may actually do what I want:
http://blogs.jetbrains.com/pycharm/2010/12/python-remote-deb...
import numpy as np
import tabular
# CSV with Region, City and Sales columns
data = tabular.tabarray(SVfile = 'data.csv')
# Calculate the total sales within each region
summary = data.aggregate(On = ['Region'], AggFuncDict = {'Sales':np.sum}, AggFunc = len)
summary.saveSV('summary.csv')http://www.parsemydata.com/tabular/
It's built on top of Numpy so it's very fast and plays well with the rest of the Numpy/Scipy ecosystem. I've been using it daily for the last couple of weeks on relatively large data sets (>300MB) and have been very pleased with how elegantly and efficiently it handles things like pivot, join and aggregation.