caucus | Realtime Collaborate Editor with Embedded Compiler | Collaboration library
kandi X-RAY | caucus Summary
kandi X-RAY | caucus Summary
A Real Time Collaborative Editor with an embedded compiler Explore the project » View Demo · Report Bug · Request Feature.
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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of caucus
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Trending Discussions on caucus
QUESTION
I have the following dataframe consisting of UserId
and the Name
of the badge earned by that person on Stackoverflow. Now, each badge belongs to a particular category such as Question
, Answer
, Participation
, Moderation
and Tag
. I want to create a column called Category
to store the category of each badge.
The code that I have written works well if data is less than 1M users, for more data it just keeps loading. How to fix this?
Dataframe (badges)
...ANSWER
Answered 2020-Nov-12 at 04:04If you want to update a dataframe with more than 1M rows, than you definetely want to avoid for
loops whenever possible. There is an easier to update your 'Category'
column, like it was done here.
In your case, you just need to convert your 4 lists with the badges names to a dictionary matching the badge name to its numerical category, like:
QUESTION
My task is a fairly complicated one but I kind of tried to narrow it down. I was given a repeated lines of text and I needed to extract sentences so the sentences would make sense to the human eye.
Below was an example input
...ANSWER
Answered 2020-Oct-05 at 02:51I re-implemented your steps into 3 blocks for more maintainability and clarity. The steps are explained as follows.
- Loader-discarder: As one can easily seen, the previously-loaded "substrings" are not useful at all. They can be processed as the inevitable and costly line-by-line loading occurs within
open()
. As a result, every line retained is informational after this step. - Repeating-substring finder: A simple brute-force searcher for the length of repeated substring. If not found, 0 is returned. This takes 2 strings as arguments.
- Repeating-substring remover: Apply the function of 2. onto your data. By separating 2. and 3., the responsibility of the string-searching logic and the data-chopping logic were made more clear and traceable.
The rest should be self-explanatory. Try to divide your logic into small and independently testable units, each serving a single logical purpose instead of mixing them altogether. I didn't reuse your code not because I feel the logic is fairly complex and is unlikely to be well-maintained without a proper refactoring.
Code
QUESTION
I am trying to reorganize html tags so that it appears that each tag in in new line so it's human readable.
I have an input file like this
...ANSWER
Answered 2020-Oct-04 at 17:35You can prettify the html using Beautifulsoup
QUESTION
Thanks for looking. I am using spaCy to perform Named Entity Recognition on a block of text, and I am having a peculiar problem I can't seem to overcome. Here is a sample code:
...ANSWER
Answered 2020-Jan-30 at 23:45You may combine the two solutions:
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Install caucus
Start the react server.
Clone the repo git clone https://github.com/Rishabh-malhotraa/caucus.git
Install NPM packages npm install
Start the react server npm run start
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