skept's comments

skept | 5 years ago | on: Signal Is Back

If you're still having delivery issues in any of your private conversations try "reset secure session" from the chat menu. It worked for me with a couple of my contacts.

skept | 5 years ago | on: Amazon disallows pointing out paid reviews

I had a very similar experience last month. I ordered this toaster[1]. When I received it I noticed that in their user manual they were offering a "gift" in return for an Amazon review. Although to be fair they didn't explicitly demand that the review had to be positive. I submitted this 4-star review [2] to Amazon:

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

skept | 5 years ago | on: Guide to Notion Landing Pages

For a basic company wiki Nuclino is another option. It doesn't have all the features Notion does, but I loved the incredibly fast page loads and search. Notion feels pretty sluggish by comparison.

skept | 6 years ago | on: Help the Graphics team track down an interesting WebRender bug

Me too. I've seen it happen on more than a couple of occasions while visiting Trello.com and YouTube.com. Firefox isn't my primary browser, partly for this reason.

MBP 2013 with integrated graphics, running Mojave and the latest stable public release of Firefox. I haven't messed with about:config.

skept | 6 years ago | on: Rust 1.37.0

Python is over 20 years old and got async/await only 4 years ago. I think most people would still consider Python a fairly stable language.

skept | 13 years ago | on: The iPhone 5's A6 SoC: Not A15 or A9, a Custom Apple Core Instead

Dynamic power is quadratic with voltage and is work-load dependent, i.e P = c * AC capacitance * Freq * V^2. Static (i.e. leakage) power has an exponential component (P = AVe^(k*V)), although k is typically pretty small. I'm not sure about the static vs. dynamic power breakdown of Apple's designs.

skept | 14 years ago | on: Fedora 16: Linux home for lost Ubuntu GNOMEs

On OSX you can use Cmd+` to switch between the windows of the active app. The Cmd+Tab behavior on OSX was annoying to me too when I first started using a Mac but now that I'm used to the Cmd+Tab and Cmd+` combo I actually prefer it to the way Alt+Tab works in Windows.

skept | 14 years ago | on: Django Advice

Thanks for that tip. What I'm really curious about though is if there's a way to set PyCharm's Python interpreter to something not on the local host (e.g. the Python interpreter on the Vagrant VM). I'd be surprised if this turned out to be possible but thought it wouldn't hurt to ask.

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...

skept | 14 years ago | on: Django Advice

Vagrant looks very interesting. For writing code I prefer Vim but I also use PyCharm on OSX mainly for its excellent debugger and code browser. Does anyone know if there's a way to get PyCharm or perhaps other IDEs (running on OSX) to run the Django dev server through Vagrant?

skept | 15 years ago | on: No, shut up. What statistical programming languages can learn from Dropbox.

There's a nice NumPy-based Python package called Tabular (http://www.parsemydata.com/tabular/index.html) that makes this super easy:

  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')
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