cadmium | Python library for Solid Modelling | Graphics library

[Editing this question completely] Thank you , for those who helped in building the Periodic Table successfully . As I completed it , I tried to link it with another of my project E-Search , which acts like Google and fetches answers , except that it will fetch me the data of the Periodic Table .

But , I got a problem - not with the searching but with the layout . I'm trying to layout the x-scrollbar in my canvas which will display results regarding the search . However , it is not properly done . Can anyone please help ?

Below here is my code :

I have a visualization I made in Altair and I want to place borders around each label on the y axis (sorry if I am explaining this incorrectly) to separate them. This is the code I have so far:

I am making a code which takes in jumble word and returns a unjumbled word , the data.json contains a list and here take a word one-by-one and check if it contains all the characters of the word and later checking if the length is same , but the problem is when i enter a word as helol then the l is checked twice and giving me some other outputs including the main one(hello). i know why does it happen but i cant get a fix to it

I'm initializing all values of a python dict to 0 in the following code:

I have a list of elemental impurities in power query which I wish to filter according to whether or not they exist on another list known as the prop65 list.

The screenshot below shows a simplified example of what I am trying to achieve.

I appreciate that using formulas However I don't know how to achieve this using a Power query solution. If anyone know how to achieve this it would be appreciated.

Data shown:

I have written some lines of code in R Shiny and would like to use variables a (surface area) and v (volume) which are numeric vectors containing 9 values. These variables are calculated using a constant size vector d. An if condition determines which formula to execute based on user selection of particle shape from a dropdown menu. The variables a and v are used in the subsequent steps to create a dataframe, a plot, and a graph.

I am facing 2 problems with my code currently.

1. The variables a and v are not being calculated which is resulting in an error in the later steps because I am not able to create dataframes which use a and v.

2. The dataframes I have coded within the reactive() function, which are intended to be variable as the values will change based on user selection, are not being created and I cannot figure out why.

Below is the code. I am fairly new to R so any help would be highly appreciated.

I am doing a time-series sequence classification problem.

I have 80 time-series all length 1002. Each seq corresponds to 1 of 4 categories (copper, cadmium, lead, mercury). I want to use Keras LSTMs to model this. These models require data to be fed in the form [batches, timesteps, features]. As each seq is independent, the most basic setup is for X_train to have shape [80, 1002, 1]. This works fine in an LSTM (with stateful=False)

But, 1002 is quite a long seq length. A smaller size could perform better.

Let's say I split each seq up into 3 parts of 334. I could continue to use a stateless LSTM. But (I think?) it makes sense to have it be stateful for 3 samples and then reset state (since the 3 chunks are related).

How do I implement this in Keras?

First, I transform the data into shape [240, 334, 1] using a simple X_train.reshape(-1, 334, 1) but how do I maintain the state for 3 samples and then reset the state in model.fit()?

I know I need to call model.reset_states() somewhere but couldn't find any sample code out there showing me how to work it. Do I have to subclass a model? Can I do this using for epoch in range(num_epochs) and GradientTape? What are my options? How can I implement this?

Also, if I split the sequences up, what do I do with the labels? Do I multiply them by the number of chunks each seq is split up into (3 in this case)? Is there a way for an LSTM to ingest 3 samples and then spit out one prediction? Or does each sample have to correspond to a prediction?

Finally, if I split my sequences up into 3 subsequences, do I have to have a batch size of 3? Or can I choose any multiple of 3?

Here is the super basic code I used with X_train.shape == [80, 1002, 1].

In Python i would do the following

Hello I am using stripe for my android app to take payments. I noticed that when I make a payment the price is always charge $14.00 and I'm guessing that is the default pricing. But I wanted to change that to something else maybe like to 5 dollars or 1 dollar. Can anyone assist me with this? Thanks in advance