Maybe you were looking for...

Handling the token expiration in fastapi

I'm new with fastapi security and I'm trying to implement the authentication thing and then use scopes. The problem is that I'm setting an expiration time for t

Render fetching data after login - [React - Javascript]

I had a problem when I try to run my project the Drawer navigation invoked before I loged in How can I ascyn this operation by rendering data after the login. i

Fitting gaussianlike model to data does not work?

I want to fit this data. I have the following model function. def losvd_param(v, v_rot, v_disp, h3, h4): y = np.asarray((np.asarray(v)-v_rot)/(v_disp))

how can I convert a packed decimal format (S370Fpd5) in R?

Can the Packed Decimal Format S370Fpd5 be converted with R or Python? Below are examples with the actual output after ascii conversion, the expected ouptut and

Need help to make while loop restart my Python program from top

I would like to get help with this program I have made. The function of the code is so the users can input a city anywhere in the world and they will then get d

Cypress : login with Bearer token

Recently I wanted to login with an access token (I have the API command to generate it), but I certainly missunderstood something. I did what it was done in thi

How to Create an API with VPC Link Integration for EKS?

I have a working EKS Cluster with some services running in there. The challenge right now, is to have an API gateways to call those services. That is why I star

Problem with spreading a data frame using R [closed]

I am very new using R - I have a big data frame that looks in this structure: miRNAs sample counts miR-15 DM3 302894 miR-15 DM2 110966 miR-15

Embedded PDF Viewer in a WinForms Control

I'm trying to embed a pdf viewer in a WinForms Control in such a way that I can display the pdf to the user within the context of my application. I also need t

How to save a pyspark dataframe into 1000 parts by one of the columns?

I am using pyspark, and I want to save a dataframe divided into 1000 parts by one of the columns. The dataframe I want to save: df = spark.sql("SELECT * FROM ta