cassette | Manages .NET web application assets | Runtime Evironment library
kandi X-RAY | cassette Summary
kandi X-RAY | cassette Summary
Web applications today are using more JavaScript than ever. As a result, structuring these files is becoming a problem. You wouldn't put all your C# classes within a single .cs file, so why do that with JavaScript?. Creating lots of smaller .js files is good development practice. However, downloading 100 individual files will make YSlow very unhappy! Better to concatenate and minify the files into logical "bundles" for use in production.
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QUESTION
I need to create a table based on different delimiters and keywords. I have the following file:
...ANSWER
Answered 2022-Mar-18 at 15:00Doing gsub
on all data will destroy the hierarchical nesting. Keep your data together. Start with one big string stored in data.txt
and split them to get one element per transcript. Fields can be extracted using relative expressions. Lists can be converted into multiple rows in a table using unnest
. This automatically repeats transcript IDs for each corresponding protein.
QUESTION
I need to filter some files in which the "Identities" are greater than 90%.
Example file
...ANSWER
Answered 2022-Mar-15 at 14:161st solution: With your shown samples, please try following awk
code. With any awk
this should work.
QUESTION
I have a pandas dataframe with 100+ columns.
...ANSWER
Answered 2022-Jan-26 at 00:37You should use filter
. Something like:
QUESTION
[error screenshot][1]I was trying a flutter exercise and whenever I was trying to add the conditionals I came up with the following error:
The following RangeError was thrown building StoryPage(dirty, state: _StoryPageState#a4166):
RangeError (index): Invalid value: Not in inclusive range 0..5: -5
the following are the codes:
...ANSWER
Answered 2022-Jan-25 at 20:16I think you have an extra negative sign in your getChoice1
method.
QUESTION
i have a problem in text_to_sequence in tf.keras
...ANSWER
Answered 2022-Jan-12 at 09:43You should not use text_to_word_sequence
if you are already using the class Tokenizer
. Since the tokenizer repeats what text_to_word_sequence
actually does, namely tokenize. Try something like this:
QUESTION
This is my data frame
...ANSWER
Answered 2021-Dec-20 at 13:04Use concat
with select rows by DataFrame.loc
:
QUESTION
I want to have a Chat-like simple UI where the chats can scroll & 2 buttons are at the end.
Currently, it looks like:
Full reproduction → https://play.tailwindcss.com/mKgRCKKVBq
The code looks like:
...ANSWER
Answered 2021-Dec-13 at 14:55I had to change only 1-thing. The outer container should be using h-screen
instead of min-h-full
like:
QUESTION
I have two dataframes, the one contains Reviews for cars and the second one contains the car make and car model. What I would like to do is use the car model df_brand['name']
to be used to lookup every word in the Review sentence df['Review']
and remove matching words. I would like to remove all the words that contain car brands in them.
Input data df['Review']
:
ANSWER
Answered 2021-Dec-07 at 20:57Your problem wasn't quite condensed enough to reproduce, or to see the desired output, but your basic approach is fine. You may run into issues with misspellings, in which case maybe use an edit distance with a threshold for determining whether to take out the stopword. Here's my version of your code that seems to do fine
QUESTION
In the following test:
...ANSWER
Answered 2021-Dec-07 at 11:02It seems the only way to make this work is by adding the following:
QUESTION
I am trying to convert a input sentence Review
into a CountVectorizer. I am struggling to handle the sentences that are passed through. How do I deal with the sentences and add vectors to these? Any assistance will be highly appreciated.
Input Data:
...ANSWER
Answered 2021-Dec-06 at 19:26You don't need the looping. From the documentation:
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