Prerequisites:
Software components used:
An overview of the moving pieces in app deployment currently (ex. chef, puppet, salt, ansible, git, omnibus, compass, less, DB migrations, databases).
Deploying a moderately complex web application has become quite a challenge over the years. As best-practices have evolved, it has become progressively more time-consuming to keep up with what tools exist and how to use them effectively. This talk will provide an overview of the ecosystem and provide pointers for more information about individual components or problems.
So you managed to break Julia. Congratulations! Collected here are some general procedures you can undergo for common symptoms encountered when something goes awry. Including the information from these debugging steps can greatly help the maintainers when tracking down a segfault or trying to figure out why your script is running slower than expected.
If you've been directed to this page, find the symptom that best matches what you're experiencing and follow the instructions to generate the debugging information requested. Table of symptoms:
| http://mail.scipy.org/pipermail/ipython-dev/2014-February/013156.html | |
| Juergen Hasch's 15 lines of Javascript code to implement "paste images directly from the clipboard (e.g. screenshots) into the notebook" for Chrome. Slow as hell for anything larger than some 10k. | |
| window.addEventListener('paste', function(event){ | |
| var cell = IPython.notebook.get_selected_cell(); | |
| var items = event.clipboardData.items; | |
| for (var i = 0; i < items.length; ++i) { | |
| if (items[i].kind == 'file' && items[i].type.indexOf('image/') !== -1) { | |
| var blob = items[i].getAsFile(); |
So you managed to break Julia. Congratulations! Collected here are some general procedures you can undergo for common symptoms encountered when something goes awry. Including the information from these debugging steps can greatly help the maintainers when tracking down a segfault or trying to figure out why your script is running slower than expected.
If you've been directed to this page, find the symptom that best matches what you're experiencing and follow the instructions to generate the debugging information requested. Table of symptoms:
| #Python/pypy | |
| import math | |
| def smallestdivisall(n): | |
| for i in xrange(1, math.factorial(n)+1): | |
| for j in xrange(1, n+1): | |
| if i % j != 0: | |
| break | |
| elif j == n: | |
| return i | |
| /* Experimental typographically tinkered IJulia stylesheet | |
| * Copyright © 2013 Jiahao Chen <jiahao@mit.edu> | |
| * MIT License | |
| * | |
| * To use, place in ~/.ipython/profile_julia/static/custom/custom.css | |
| * and refresh IJulia | |
| * | |
| * Based on suggestions from practicaltypography.com | |
| */ |
| #Working version | |
| using JSON | |
| auth_token= #fill in to access Github API | |
| function getcontribs(owner, repo, auth_token) | |
| #Download information about contributors | |
| page, authors=0, {} | |
| while true #Download every page | |
| page += 1 | |
| url="https://api.github.com/repos/$owner/$repo/contributors?page=$(page)&access_token=$(auth_token)" |
| .ipynb_checkpoints |
