evolving | free stock trading interface for CH stock | Business library

How can I show JSON response in foreach loop:

I would like to remove the DOI from the bibliographic references in my markdown script. Is there a way I can do this?

Here is my markdown file:

Summary:
I want to make NGINX (not NGINX Plus) re-resolve the IP address from the DNS name by using a variable in proxy_pass (as suggested in this official Nginx article in the section "Setting the Domain Name in a Variable"). But when I do that it won't set/forward the correct Content-Type header, but always use text/html, for .css, .js etc. files.

My setup:
I have a frontend and a backend service running in separate Docker containers (to be deployed to OpenShift in production). There's also a third container that runs nginx:latest (v1.19.9 as of today) and acts as a reverse proxy, forwarding calls made to /my-app to the frontend and /my-app/api to the backend container. The NGINX reverse proxy has set them up as upstream servers using their DNS names. All three containers run within the same custom Docker network, so resolving in itself works fine - but only, when NGINX is (re-)started.

The problem:
When the frontend or backend container gets restarted it may get a new IP address. Since NGINX caches IP addresses I'm getting a 502 when I make calls to them. I want NGINX to re-resolve the IP address more frequently, like NGINX Plus does. This is how the problem with the Content-Type came up, when I tried to have NGINX re-resolve DNS names.

The configuration:
Here's my NGINX configuration (simplified to the relevant stuff only):

I have seen similar questions asked a few years ago but the answers basically involved transposing the data before plotting. As GNUPLOT is evolving maybe there is a simpler way to handle this today?

My data are composition profiles at different time steps during a simulation. Each line represent the composition of an element at a specific time at different points in space and I would like to plot this row by row, in the simplest case just a single row as this

I am a C++ developer and new to React and JS. I somehow understand the concept of React and the reason it requires to have an immutable state:

1. because it has to compare existing state on setVar (form useState) with a new state. Otherwise it will have no reason to rerender.
2. Because of the possible data races on shared resources (this is a problem in general in asynchronous programming, not just with React).

I also know, that there are common practices (looking throughout the history of React, I'd say they are still evolving) you have to stick to in order to work with other people in order to understand each other. But still, I really don't like the concept of copying data just for the sake of updating it:

• it feels like a lot of overhead for copying large arrays of data
• you have to come up with a rather complicated code to modify at least one element in an array. With trees it is even harder.

So, given the following assumptions, I want to ask if it might be alright to use a workaround to modify data in place:

• the data is not shared between other react components
• only one function is allowed to modify it
• the component will not read the data while it is being modified

These are just assumptions and maybe it is not possible to enforce in a real world application.

One of our system has a micro service architecture using Apache Kafka as a service bus. Low latency is a very important factor but reliability and consistency (exactly once) are even more important.

When we perform some load tests we noticed signifiant performance degradation and all investigations pointed to big increases in Kafka topics producer and consumer latencies. No matter how much configuration we changed or more resources we added we could not get rid of the symptoms.

At the moment our needs are processing 10 transactions per second (TPS) and the load test is exercising 20 TPS but as the system is evolving and adding more functionality we know we'll reach a stage when the need will be 500TPS so we started being worried if we can achieve this with Kafka.

As a proof of concept I tried to switch to one of our micro services to use a chronicle-queue instead of a Kafka topic. It was easy to migrate following the avro example as from Chronicle-Queue-Demo git hub repo

It is not clear to me if one could use mlflow to serve a model that is evolving continuously based on its previous predictions.

I need to be able to query a model in order to make a prediction on a sample of data which is the basic use of mlflow serve. However I also want the model to be updated internaly now that it has seen new data.

Is it possible or does it need a FR ?

Situation

I am fitting a series of evolving regression models. For the purposes of this question, we can think of these models in terms of Model A, Model B, and Model C. All models share at least one same covariate.

I am also fitting these models for two separate years of data. Again, for the purposes of this question, the years will be 2000 and 2010.

In an attempt to simplify the reporting of results, I am attempting to combine the reporting of the regressions into a single table that would have some kind of the following format:

I'm doing trend analysis, and trying to use barcharts to visualize the frequencies of the hashtags in different years. So I can see the top 3 most frequent hashtag terms, and see how the frequencies of these terms are evolving during years I have a dataset like this: