duplicates = multiple editions
A Classical Introduction to Modern Number Theory,Kenneth IrelandMichael Rosen
A Classical Introduction to Modern Number Theory,Kenneth IrelandMichael Rosen
A line chart with mouseover so that you can read the y-value based on the closest x-value. The x-value is found using d3.mouse and scale.invert. The y-value is then found by bisecting the data.
(cinematique)JOSEPH-MISITI:cinematique josephmisiti$ bash test.sh | |
== Info: Trying 23.21.153.240... | |
== Info: Connected to cinematique.com (23.21.153.240) port 443 (#0) | |
== Info: TLS 1.2 connection using TLS_ECDHE_RSA_WITH_AES_128_CBC_SHA256 | |
== Info: Server certificate: *.cinematique.com | |
== Info: Server certificate: Go Daddy Secure Certificate Authority - G2 | |
== Info: Server certificate: Go Daddy Root Certificate Authority - G2 | |
=> Send header, 160 bytes (0xa0) | |
0000: POST /api/touches HTTP/1.1 | |
001c: Host: cinematique.com |
# cinematique migrate analytics --database analytics | |
DEBUG 2015-09-21 21:05:31,393 Configuring Raven for host: http://DEADBEEFDEADBEEFDEADBEEFDEADBEEF:DEADBEEFDEADBEEFDEADBEEFDEADBEEF@localhost:9000:/2 [raven.contrib.django.client.DjangoClient] | |
Traceback (most recent call last): | |
File "/opt/envs/cinematique/bin/django-admin.py", line 5, in <module> | |
management.execute_from_command_line() | |
File "/opt/envs/cinematique/local/lib/python2.7/site-packages/django/core/management/__init__.py", line 385, in execute_from_command_line | |
utility.execute() | |
File "/opt/envs/cinematique/local/lib/python2.7/site-packages/django/core/management/__init__.py", line 377, in execute | |
self.fetch_command(subcommand).run_from_argv(self.argv) | |
File "/opt/envs/cinematique/local/lib/python2.7/site-packages/django/core/management/base.py", line 288, in run_from_argv |
Working with time in Go is pretty straightforward.
Get the current local time:
now := time.Now() // 02 Apr 15 14:03
Construct a time with Date(y, m, d, h, m, s, ns, loc)
:
# Basic Settings | |
fontName = "Panic Sans" | |
fontSize = 15 | |
# Extra files to include | |
myExtraIncludes = ".env,.gitignore,.htaccess,.pryrc,.rspec,.rspec_parallel,.rvmrc,.ruby-gemset,.ruby-version,.tm_properties,.travis.yml" | |
fileBrowserGlob = "{*,$myExtraIncludes}" | |
include = "{$include,$myExtraIncludes}" | |
includeInFileChooser = "{$includeInFileChooser,$myExtraIncludes}" |
Here at PyData NYC, I heard a tutorial of how to use numpy and iPython notebooks. In a previous gist, I wrote drew all the zip codes of the Bronx in d3.js
This would be great for reproducing inforgraphics like Educational Attainment in New York City -- Brooklyn which looks a bit like a jigsaw puzzle: