gjreda

9 ms·

31.
by gjreda 11y ago
This is a shame. IMO, Zach Lowe's the best basketball writer out there.
32.
by gjreda 11y ago
I see it as teaching fairly basic business and personal finance concepts. In a league where 60% of players go bankrupt within five years after leaving the sport [1], this is likely pretty enlightening for some readers. [1] https:/&#x2
33.
by gjreda 11y ago
On the day Moments was released, I followed the "Moment" of the Astros-Royals Wild Card (baseball) game. I loved it - it pulled relevant tweets into my timeline and let me follow the game with people doing the same thing around th
34.
Cohort Analysis with Python(gregreda.com)
1 points by gjreda 11y ago|0 comments
35.
by gjreda 11y ago
Nodding my head in agreement, only to realize I'm agreeing with an IRL friend.
36.
by gjreda 11y ago
His Think Bayes is another good one: http://greenteapress.com/thinkbayes/
37.
by gjreda 11y ago
Great post! I've been thinking about writing something similar with that same BeerAdvocate data. Good job beating me to it :) Instead, I ended up writing a satirical beer snob bot [1] which tweets nonsensical beer reviews using Markov
38.
Generating craft beer reviews via Markov chains(gregreda.com)
5 points by gjreda 12y ago|0 comments
39.
Automating static site deployments with Travis and GitHub(gregreda.com)
1 points by gjreda 12y ago|0 comments
40.
by gjreda 12y ago
Are there ever opportunities for freelance/contract work?
41.
Web scraping 201: How to find the API used by client-side webapps(gregreda.com)
5 points by gjreda 12y ago|0 comments
42.
by gjreda 12y ago
You can find the rest of the materials here: https://github.com/gjreda/pydata2014nyc
43.
Translating SQL to Python's pandas(nbviewer.ipython.org)
3 points by gjreda 12y ago|1 comments
44.
Startup bets S.F. needs app to hail scooter-riding valets(sfgate.com)
4 points by gjreda 12y ago|0 comments
45.
Using Python to get sold out concert tickets off of Craigslist(gregreda.com)
2 points by gjreda 12y ago|0 comments
46.
by gjreda 12y ago
Another fan of Pelican here. I've also written a theme for it [1]. One let's you use IPython Notebook for your Markdown + code. I use S3 to host my blog. It's super cheap and it's really easy to push out changes with S3c
47.
by gjreda 12y ago
I spent a Sunday at the top of Hacker News about a year ago and I don't recall ever paying more than $5 a month for my S3 hosting. For context, last month I had ~20,000 pageviews and my S3 + Data Transfer charges were $2.43.
48.
by gjreda 12y ago
It seems like there is a good amount of posts hitting the front page lately that are simply collections of tutorials, libraries, or other references without much substance. I'd love to read about some in-depth experiences with said tut
49.
by gjreda 12y ago
SEEKING WORK - Remote (based in Chicago) (part-time) Who I can help: People/companies/startups looking to gain some value out of the data they're collecting, specifically around user behavior. Experience: First data hire at G
50.
by gjreda 12y ago
I did this recently when trying to get tickets to a sold out Cloud Nothings show. I'd scrape Craiglist for postings every 10 minutes, and then send myself a text if any of the posts were new. I ended up getting tickets the day before t
51.
by gjreda 12y ago
Commit history banner I appreciated: https://twitter.com/gjreda/status/432661964209143808/photo/1
52.
by gjreda 13y ago
I forgot to mention reproducibility. Show your work (share the code).
53.
Principles of good data analysis(gregreda.com)
108 points by gjreda 13y ago|6 comments
54.
by gjreda 13y ago
For those interested, I wrote a "web scraping 101" tutorial in the past that uses BeautifulSoup: http://www.gregreda.com/2013/03/03/web-scraping-101-with-pyt...
55.
When was the midpoint of film releases? Make a guess first(gregreda.com)
2 points by gjreda 13y ago|0 comments
56.
by gjreda 13y ago
Author here. This was my first foray into PyMC. I'd love feedback (good or bad).
57.
Using Python + pandas to munge and analyze college basketball data(gregreda.com)
1 points by gjreda 13y ago|1 comments
58.
by gjreda 13y ago
I'm super interested in the chapter on creating reusable command line tools. I've found the command line to be ideal for performing a lot of simple, memory-intensive tasks (filtering/munging/sorting/etc. a massive t
59.
by gjreda 13y ago
Do you guys have any concerns about websites' terms of use restrictions? I've done a bit of crawling and have always been curious how selling this sort of service would handle those potential use restrictions / legal issues.
60.
by gjreda 13y ago
If anyone is interested in reading it as one long Notebook, you can use NBViewer: http://nbviewer.ipython.org/urls/raw.github.com/gjreda/gregr...

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