delayed | driven ActiveJob backend used at Betterment to process | Job Scheduling library

I'm quite familiar with pandas dataframes but I'm very new to Dask so I'm still trying to wrap my head around parallelizing my code. I've obtained my desired results using pandas and pandarallel already so what I'm trying to figure out is if I can scale up the task or speed it up somehow using Dask.

Let's say my dataframe has datetimes as non-unique indices, a values column and an id column.

I've been working in Linux for the last 12 years, worked with Windows and command lines before that and have had to recently resurrect those batch file skills for a little easy to use / edit utility. However, I'm having some issues in finding out how to build up a string variable with newline characters (the equivalent of Linux's echo -e "Line1\nLine2")

Basically my utility asks three questions of a user and checks the validity of the inputs. Each input has a slightly different "error message" if the validity fails. I then have a check to see if the errMsg variable contains anything and if it does, it lists the collated error messages from the 3 validity checks. This all works perfectly with the exception of the error message is on one line and I'd like to put each error on it's own line. I then "merely" add newlines to the string ... and that's the crux of this question.

I've used this link as a reference point and with a basic string, the new lines appear as expected. However, when I use a variable, the new lines don't appear and I was hoping someone could explain to me why.

I have the following code snippet

Client (nuxt) is up on http://localhost:3000 and the client sends requests to http://localhost:8080.

Server (django) is running on 0.0.0.0:50051.

Also docker is up

I'm Using GetX Package for State Management in Flutter. I'm trying to show data based on whether condition is true or not. But gets this error which says `type 'bool' is not a subtype of type 'RxBool' in type cast'.

Below is my code which I'm trying to show. Thanks for help. :)

I have the following code that runs two TensorFlow trainings in parallel using Dask workers implemented in Docker containers.

I need to launch two processes, using the same dask client, where each will train their respective models with N workers.

To that end, I do the following:

• I use joblib.delayed to spawn the two processes.
• Within each process I run with joblib.parallel_backend('dask'): to execute the fit/training logic. Each training process triggers N dask workers.

The problem is that I don't know if the entire process is thread safe, are there any concurrency elements that I'm missing?

I am a beginner in C programming. In the following code, we have two pthreads. I want one of them to be delayed at the user's choice after the two pthreads are synchronized. I want this delay to be as accurate as possible. In the following code I have done this but the exact amount of delay does not occur.

But I also have another question, and that is how can I force a pthread to run a certain part of the program from start to finish without interruption.

Thank you in advance.

code:

I would like to create the following table

Where

I have read lots of posts about using Python gettext, but none of them addressed the issue of changing languages at runtime.

Using gettext, strings are translated by the function _() which is added globally to builtins. The definition of _ is language-specific and will change during execution when the language setting changes. At certain points in the code, I need strings in an object to be translated to a certain language. This happens by:

1. (Re)define the _ function in builtins to translate to the chosen language
2. (Re)evaluate the desired object using the new _ function - guaranteeing that any calls to _ within the object definition are evaluated using the current definition of _.
3. Return the object

I am wondering about different approaches to step 2. I thought of several but they all seem to have fundamental flaws.

• What is the best way to achieve step 2 in practice?
• Is it theoretically possible to achieve step 2 for any arbitrary object, without knowledge of its implementation?

If all translated text is defined in functions that can be called in step 2, then it's straightforward: calling the function will evaluate using the current definition of _. But there are lots of situations where that's not the case, for instance, translated strings could be module-level variables evaluated at import time, or attributes evaluated when instantiating an object.

Minimal example of this problem with module-level variables is here.

Module-level variables can be re-evaluated at the desired time using importlib.reload. This gets more complicated if the module imports another module that also has translated strings. You have to reload every module that's a (nested) dependency.

With knowledge of the module's implementation, you can manually reload the dependencies in the right order: if A imports B,

I have a gradient exploding problem which I couldn't solve after trying for several days. I implemented a custom message passing graph neural network in TensorFlow which is used to predict a continuous value from graph data. Each graph is associated with one target value. Each node of a graph is represented by a node attribute vector, and the edges between nodes are represented by an edge attribute vector.

Within a message passing layer, node attributes are updated in a certain way (e.g., by aggregating other node/edge attributes), and these updated node attributes are returned.

Now, I managed to figure out where the gradient problem occurs in my code. I have the below snippet.