voila | Voilà turns Jupyter notebooks into standalone web | Code Editor library
kandi X-RAY | voila Summary
kandi X-RAY | voila Summary
Voilà turns Jupyter notebooks into standalone web applications. Unlike the usual HTML-converted notebooks, each user connecting to the Voilà tornado application gets a dedicated Jupyter kernel which can execute the callbacks to changes in Jupyter interactive widgets.
Support
Quality
Security
License
Reuse
Top functions reviewed by kandi - BETA
- Load jupyter extension
- Return a list of paths to templates
- Return the default root directories
- Collect static static files
- Get the query string
- Start the connection manager
- Wait for a new request
- Start the Voil application
- Get a tree view
- Create function for include_assets
- Render a template
- Generate breadcrumbs for given path
- Load a notebook
- Create a notebook
- Fix the kernel name of a notebook
- Find the kernel name associated with a given language
- Bump current version
- Patch the latest version
- Generate display URL
- Construct the URL for a given IP address
- Generate HTML snippet
- Returns the absolute path to the given path
- Sets up the template directories
- Execute the given notebook
voila Key Features
voila Examples and Code Snippets
Lines of Code : 39
License : No License
CopyHTTP/1.1 201 Created
Cache-Control: max-age=0, must-revalidate, no-cache, no-store
Content-Length: 373
Content-Type: application/json; charset=UTF-8
Date: Fri, 05 Jun 2015 18:47:53 GMT
Expires: Fri, 05 Jun 2015 18:47:53 GMT
Last-Modified: Fri, 05 Jun git+https://github.com/afeiszli/jupyter-voila-extension.git
import uuid
c.ConfigurableHTTPProxy.auth_token = str(uuid.uuid4())
voila_service_dict = {
'PROXY_TOKEN': c.ConfigurableHTTPProxy.auth_token,
voila --template=reveal notebooks/reveal.ipynb
voila index.ipynb --template=reveal --VoilaConfiguration.resources="{'reveal': {'transition': 'zoom'}}"
{
"traitlet_configuration": {
"resources": {
"reveal": {
"scroll": false,
Community Discussions
Trending Discussions on voila
QUESTION
I have an interesting problem on my hands. I have access to a 128 CPU ec2 instance. I need to run a program that accepts a 10 million row csv, and sends a request to a DB for each row in that csv to augment the existing data in the csv. In order to speed this up, I use:
...ANSWER
Answered 2022-Mar-31 at 21:09Is this most efficient?
Hard to tell without profiling. There's always a bottleneck somewhere. For example if you are cpu limited, and the algorithm can't be made more efficient, that's probably a hard limit. If you're storage bandwidth limited, and you're already using efficient read/write caching (typically handled by the OS or by low level drivers), that's probably a hard limit.
Are all cores of the machine actually used?
(Assuming python is running on a single physical machine, and you mean individual cores of one cpu) Yes, python's mp.Process creates a new OS level process with a single thread which is then assigned to execute for a given amount of time on a physical core by the OS's scheduler. Scheduling algorithms are typically quite good, so if you have an equal number of busy threads as logical cores, the OS will keep all the cores busy.
Would threads be better?
Not likely. Python is not thread safe, so it must only allow a single thread per process run at a time. There are specific exceptions to this when a function is written in c or c++, and calls the python macro: Py_BEGIN_ALLOW_THREADS though this is not extremely common. If most of your time is spent in such functions, threads will actually be allowed to run concurrently, and will have less overhead compared to processes. Threads also share memory, making passing results back after completion easier (threads can simply modify some global state rather than passing results via a queue or similar).
multithreading on each CPU?
Again, I think what you probably have is a single CPU with 128 cores.. The OS scheduler decides which threads should run on each core at any given time. Unless the threads are releasing the GIL, only one thread from each process can run at a time. For example running 128 processes each with 8 threads would result in 1024 threads, but still only 128 of them could ever run at a time, so the extra threads would only add overhead.
what to read up on?
When you want to make code fast, you need to be profiling. Profiling for parallel processing is more challenging, and profiling for a remote / virtualized computer can sometimes be challenging as well. It is not always obvious what is making a particular piece of code slow, and the only way to be sure is to test it. Also look into the tools you're using. I'm specifically thinking about the database you're using, because most database software has had a great deal of work put into optimization, but you must use it in the correct way to get the most speed out of it. Batched requests come to mind rather than accessing a single row at a time.
QUESTION
Prolog: I am using STM32 CubeIDE to develop embedded application for STM32 Microcontrollers, like the F1 Series, the F4 Series, the G0 series and some others with C.
What happened: Today morning the automatic update feature suggested me to update to STM CubeID Version 1.9.0 and i accepted. After the updater had finished, I opened my current project and changed one variable in a typedef struct and hit the "build" button. All of a sudden the linker reported lots of "multiple definition" and "first defined here" errors. This project was compiling perfectly without any issues yesterday with CubeIDE Version 1.8
After searching an hour or two, where I could have missed a semicolon or something in that direction, which could mess up the whole code, I came to the conclusion, that the upgrade from CubeIDE 1.8.0 to 1.9.0 might be the root cause for this errors.
So I decided to uninstall CubeIDE 1.9.0 and reinstall Version 1.8.0, rolled back the project to the last working version from yesterday evening (compiled with 1.8.0), made the same changes, and Voila! - anything worked well again.
For me it looks like STM messed something up with the linker. Can anyone confirm this behavior, or was only me affected?
...ANSWER
Answered 2022-Mar-09 at 13:31This is due to compiler update. From the release notes of STM32CubeIDE:
GCC 10 support by default
From GCC 10 release notes:
GCC now defaults to -fno-common. As a result, global variable accesses are more efficient on various targets. In C, global variables with multiple tentative definitions now result in linker errors. With -fcommon such definitions are silently merged during linking.
This page has futher explanation and a workaround:
A common mistake in C is omitting extern when declaring a global variable in a header file. If the header is included by several files it results in multiple definitions of the same variable. In previous GCC versions this error is ignored. GCC 10 defaults to -fno-common, which means a linker error will now be reported. To fix this, use extern in header files when declaring global variables, and ensure each global is defined in exactly one C file. If tentative definitions of particular variables need to be placed in a common block,
__attribute__((__common__))can be used to force that behavior even in code compiled without -fcommon. As a workaround, legacy C code where all tentative definitions should be placed into a common block can be compiled with -fcommon.
QUESTION
I am trying to build a docker image with a PHP application in it.
This application installs some dependencies via composer.json and, after composer install, needs some customizations done (eg some files must be copied from vendor folder into other locations and so on).
So I have written these steps as bash commands and putted in the composer.json post-install-cmd section.
This is my composer.json (I've omitted details, but the structure is the same):
...ANSWER
Answered 2022-Jan-21 at 09:22Please have a look at the documentation of Composer scripts. It explains pretty obvious:
post-install-cmd: occurs after the install command has been executed with a lock file present.
If you are using composer install with a lock file not present (as indicated from the console output), this event is not fired.
QUESTION
I'm trying to make a Twitter post, but I keep getting tweepy.errors.Unauthorized: 401 Unauthorized. So I decided to use api.verify_credentials() to check if I'm able to connect and voila: Authentication Successful. But even so, the post is still not authorized.
How do I authorize Tweepy to post to Twitter?
...ANSWER
Answered 2021-Oct-03 at 23:37Check the keys and tokens, make sure they are correct. According to https://developer.mozilla.org/en-US/docs/Web/HTTP/Status/401, The HTTP 401 Unauthorized client error status response code indicates that the request has not been applied because it lacks valid authentication credentials for the target resource.
This might also help: https://docs.tweepy.org/en/stable/auth_tutorial.html#oauth-1a-authentication
QUESTION
I was solving a Hackerrank problem that is just a plain implementation of Longest Common Subsequence
...ANSWER
Answered 2021-Dec-29 at 21:37This is one of the classic Python blunders. You cannot initialize a 2D array using the * operator, like x = [[0]*5]*5. The REASON is that this gives you a list that contains 5 references to the SAME [0,0,0,0,0] list, They aren't 5 independent lists. If you change x[0][3], you will also change x[1][3] and x[2][3]. Try setting x[2][2] = 9 and y[2][2] = 9 and notice the difference.
QUESTION
So far, I have used (via How to upgrade all Python packages with pip)
...ANSWER
Answered 2021-Sep-17 at 11:54Upgrading packages in python is never easy due to overlapping (sub)dependencies. There are some tools out there that try and help you manage. At my current job we use pip-tools. And in some projects we use poetry but I'm less happy about it's handling.
For pip-tools you define your top-level packages in requirements.in file, which then resolves the sub(sub-sub)dependencies and outputs them into a requirements.txt file.
The benefit of this is that you only worry about your main packages.
You can still upgrade sub dependencies if so desired.
Long story short; blindly updating all your packages will most likely never work out as intended or expected. Either packages ARE upgraded, but stop working, or they do work but don't work with another package that was updated because they needed a lower version of that package.
My advice would be to start with your main packages and build up from there using one of the tools mentioned. There isn't a silver bullet for this. Dependency hell is a very real thing in python.
QUESTION
I had a very simple idea: Use Python Pandas (for convenience) to do some simple database operations with moderate data amounts and write the data back to S3 in Parquet format. Then, the data should be exposed to Redshift as an external table in order to not take storage space from the actual Redshift cluster.
I found two ways to that.
Given the data:
...ANSWER
Answered 2021-Sep-17 at 06:31The question already holds the answer. :)
QUESTION
I try to build an app with a notebook in which I don't really know the number of things that would go into it. I mean by things, tabs and subtabs and subtabs of subtabs. I decided to code a custom widget that will allow me to only give a dictionary in argument and voilà. I maybe do not seem clear so hear my example. Graphically it is fully working but when we look deeply into the notebook.tabs dictionary, well, it is not.
...ANSWER
Answered 2021-Aug-17 at 22:27The problem is that you are using self.tabs to add to the dictionary each time. This means that every time a key has a dictionary as it's value, that key is getting added to self.tabs instead of the tabs dictionary of the parent. You want to add to the tabs dictionary of the parent instead.
Here is a working superiterdict function:
QUESTION
I'm using SSR to render a react component which should import an image. I've added:
...ANSWER
Answered 2021-Aug-11 at 01:57I finally managed to figure this out, seems like I had the puzzle pieces but I was putting them together in all the wrong ways. I'll post the complete solution in case anyone ever wants it.
The first thing to mention is that using any react server functions without some sort of a bundler like webpack isn't possible, or it's possible but it wouldn't make sense because you will have images and css and stuff that typescript can't parse.
The first thing you'll need is the normal webpack config that you're used to:
QUESTION
I have a nuxtjs project that I use with tailwindcss.
In that project I generate classes on the fly for negative margins like so:
...ANSWER
Answered 2021-Apr-22 at 20:14You can try safelist option for PurgeCss config:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install voila
Support
Reuse Trending Solutions
Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items
Find more librariesStay Updated
Subscribe to our newsletter for trending solutions and developer bootcamps
Share this Page
