Irrational Exuberance

Yahoo and Elsewhere were suggested queries on a tutorial and on the GitHub blog, respectively.

Your counts are off. According to "grep -cE '\bdjango\b' queries.log" there are 858 queries with "django" as a keyword.

import codecs
import re

word_re = re.compile(r'\w+', re.UNICODE)
words = (word.lower() for line in codecs.open('queries.log', encoding='utf-8')
                      for word in word_re.findall(line))

stats = {}
for word in words:
    stats[word] = stats.get(word, 0) + 1

# ... etc...

Returns 861 occurences of "django". (Why not 858? "django" appears four times on one line.)

Interesting post. Thanks for the data, doing a simple analysis here are the top 30 keywords:

1. django: 803
2. performance: 774
3. test: 662
4. elsewhere: 492
5. yahoo: 468
6. cache: 430
7. expire: 404
8. tutorial: 326
9. pro: 325
10. storage: 75
11. design: 73
12. admin: 72
13. schedule: 71
14. template: 69
15. model: 68
16. app: 65
17. registration: 65
18. engine: 62
19. search: 50
20. newsletter: 47
21. cms: 41
22. queryset: 41
23. ajax: 40
24. google: 39
25. blog: 38
26. forms: 35
27. jquery: 33
28. models: 32
29. request: 27
30. appengine: 24

Django at #1 is no surprise but it is a bit like searching google for google.

-2 is a bit odd. Looking at likes 1597 onwards explains why perfomance comes up so much. Although, it is commonly used all through the log, so maybe performance is a key concern/worry for people?

-4 and #5 not really sure why elsewhere and yahoo are coming up so much?

It'd be interesting to see this information against the useragent as I suspect some of the unusual things will be front annoying robots.

Oh and FWIW;

from string import punctuation
from operator import itemgetter

words = {}

words_gen = (word.strip(punctuation).lower() for line in open("queries.log")
                                             for word in line.split())
for word in words_gen:
    words[word] = words.get(word, 0) + 1

top_words = sorted(words.iteritems(), key=itemgetter(1), reverse=True)[:30]

for word, frequency in top_words:
    print "%s: %d" % (word, frequency)

The frustration I run into as a FE engineer is almost 100% attributable to the fact that I don't design what I have to implement.

This is a HUGE factor. Especially so, when the designer has no concept of how the web works( think Print background ), the foibles of 27 different browsers, and an insane fixation on absolute, pixel-perfect rendering.

I will second the other replies as well. A most spot-on article. Now I shall go and weep for the pain that is mine....

I work in a relatively small team (7 developers) and we still have these problems. Regardless of team size I think the common factor here is, as you put it Will, "[giving] the frontend team greater ownership of their product."

The frustration I run into as a FE engineer is almost 100% attributable to the fact that I don't design what I have to implement.

Why do you think that is? Are you working on a small team or within a small company? From the feedback I've gotten, these are common critiques by FE engineers in a certain kind of environment.