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I just get start with asynchronous programming, and I have one questions regarding CPU bound task with multiprocessing. In short, why multiprocessing generated way worse time performance than Synchronous approach? Did I do anything wrong with my code in asynchronous version? Any suggestions are welcome!

1: Task description

I want use one of the Google's Ngram datasets as input, and create a huge dictionary includes each words and corresponding words count.

Each Record in the dataset looks like follow :

"corpus\tyear\tWord_Count\t\Number_of_Book_Corpus_Showup"

Example:

"A'Aang_NOUN\t1879\t45\t5\n"

2: Hardware Information: Intel Core i5-5300U CPU @ 2.30 GHz 8GB RAM

3: Synchronous Version - Time Spent 170.6280147 sec

I have a project with this folder tree:

I have the following dataset with three variables. The first variable "Adversity.category" differentiates between 4 types of adversity. The second category "Adversity.subcategory" provides more fine-grained descriptions of the adversity whereas the "Adversity.event" refers to the specific event. I would like to the provide a summary table for each adversity category. Thus, I should have one summary table for "economic crisis", one for "natural disaster", one for "anthropogenic disaster", and one for "health" with two five columns in total: subcategory, specific event, n, total % and cumulative% starting with the highest count at the top.

Taking the first steps with library, I'm starting with basic arithmetic on a days grained time_point. Thanks to a very useful post by @HowardHinnant, I managed to write this:

Is it possible to separate out the feature of an RTK-based application that depend on different slices of a the redux store into separate node packages? Assuming so, what is the best way to do that?

We have a large, and growing, app that is based around Redux Toolkit. Where possible we try to separate parts of the application into their own node packages. We find there are a lot of benefits to doing this, including:

• Maintainability of codebase
• Fine-grained control over intra-application dependencies
• Testability

It's easy enough to do this for cross-cutting things, like logging, http requests, routing, etc. But we would like to go further and modularize the "features" of our app. For example, have the "address book" feature of our application live in a different module than, say, the "messages" feature, with them all composed together via an "app" package.

The benefits we see here are ones we have found in other codebases and have been discussed in other places. (E.g., here for iOS). But, in brief: (1) you can see and control intra-app dependencies. For example, you can easily see if the "messages" feature depends on the "address book" feature and make explicit decisions about how you will expose the one feature to the other via what you export; (2) you can build fully testable sub-parts of the app by simply having a "preview" package that only composes in the things you want to test, e.g., you could have a "contact app" package that only depends on the "contact" feature for building and testing just that; (3) you can speed up CI/CD times by not needing to compile (TS/babel), pack/minify, and unit test every part; (4) you can utilize various analytics tools to get more fine-grained pictures of how each feature is developing.

There may well be other ways to achieve these things, and some may disagree with the premise that this is a good way to do it. That's not the focus of the question, but I'm open to the possibility it may be the best answer (e.g., some one with significant Redux experience may explain why this is a bad idea).

We've struggled to come up with a good way to do this with Redux Toolkit. The problem seems to boil down to -- is there a good way to modularize (via separate node packages) the various "slices" used in RTK? (This may apply to other Redux implementations but we are heavily invested in RTK).

It's easy enough to have a package that exports the various items that will be used by the redux store, i.e., the slice state, action creators, async thunks, and selectors. And RTK will then compose those very nicely in the higher-level app. In other words, you can easily have an "app" package that holds the store, and then a "contacts" package that exports the "contacts" slice, with its attendant actions, thunks, selectors, etc.

The problem comes if you also want the components and hooks that use that portion of slice to live in the same package as the slice, e.g., in the "contacts" package. Those components/hooks will need access to the global dispatch and the global useSelector hook to really work, but that only exists in the "app" component, i.e., the feature that composes together the various feature packages.

1. We could export the global dispatch and useSelector from the "higher" level "app" package, but then our sub-components now depend on the higher level packages. That means we can no longer build alternate higher level packages that compose different arrangements of sub packages.

2. We could use separate stores. This has been discussed in the past regarding Redux and has been discouraged, although there is some suggestion it might be OK if you are trying to achieve modularization. These discussions are also somewhat old.

Is it possible to separate out the feature of an RTK-based application that depend on different slices of a the redux store into separate node packages? Assuming so, what is the best way to do that?

While I'm primarily interested if if/how this can be done in RTK, I'd also be interested in answers--especially from folks with experience with RTK/redux on large apps--as to whether this is Bad Idea and what other approaches are taken to achieve the benefits of modularization.

I failed to upload a file to Cloud Storage on GCP from Retool many times and always got the error below:

query: Failed to upload. This might be due to a CORS issue on the bucket, so please double check that your CORS settings are correct.

Actually, I made cors.json with the command below on Cloud Shell:

I have daily data that I need to plot with sns.lmplot().

The data has the following structure:

We have a Java-based webapp running on JBoss EAP 6.4. We were getting way too many log messages from certain portions of our code, for example, thousands of

From the Spacy documentation:

For a list of the fine-grained and coarse-grained part-of-speech tags assigned by spaCy’s models across different languages, see the label schemes documented in the models directory.

I assume this is referring to the parts of speech tags, eg: VERB, NOUN, NUM etc., and that this list will be different for each language.

Is this a correct assumption?

I followed the link in the documentation to the models directory, but could not find a list of the valid POS tags for each language.

https://spacy.io/usage/linguistic-features#pos-tagging

Answer

Thanks to @polm23 for the answer, here's a screen shot with the navigation, in case anyone else can't find it.