| from google_spreadsheet.api import SpreadsheetOAuth | |
| import os | |
| ID_FIELD = '__rowid__' | |
| client_secret = os.path.join('instance','client_secret.json') | |
| api = SpreadsheetOAuth(client_secret, | |
| 'https://spreadsheets.google.com/feeds/', | |
| 'http://127.0.0.1:5000/oauth2callback', | |
| 'Floyd County Data') |
| // Converts image to canvas; returns new canvas element | |
| function convertImageToCanvas(image) { | |
| var canvas = document.createElement("canvas"); | |
| canvas.width = image.width; | |
| canvas.height = image.height; | |
| canvas.getContext("2d").drawImage(image, 0, 0); | |
| return canvas; | |
| } |
Many existing JSON APIs are not consistent between types. As JSON endpoints grew organically and were built by different engineers at different times, the style in which records are represented can vary wildly.
Historically, we have asked adapter authors to rely on the fact that the type of record is
provided to all adapter hooks (either by passing a type argument, or by passing a record
If I place a sheet of 8" x 11" letter paper on the screen, what pixels/inch value does an on-screen document with the same dimensions need to have so that the document and the paper line up perfectly at 100% zoom?
| Display | pixels per inch |
|---|---|
| Cintiq 21 UX | 94 |
I hereby claim:
To claim this, I am signing this object:
A good discussion on how to handle login/signup through a web app in Eve https://github.com/nicolaiarocci/eve/issues/74
Accessing database items directly: http://stackoverflow.com/questions/22191816/submit-request-post-internally-in-python-eve
Securing a web service: http://stackoverflow.com/questions/6302341/web-services-api-keys-and-ajax-securing-the-key
Text box and select element, useful for tagging: https://github.com/brianreavis/selectize.js
A few approaches, from simple to precise: http://www.huyng.com/posts/python-performance-analysis/
If you can import but you don't want to pip install:
http://pythonforbiologists.com/index.php/measuring-memory-usage-in-python/
Suggestions for reading large files: http://stackoverflow.com/questions/12039235/loading-large-file-in-python
Alternatives to reading large files: