ib | Go Infiniband libraries for Linux machines

To give more context about my problem:

I am using python to build an API connecting to the TWS of interactive brokers. I managed to build something functional and able to fetch live data from contracts using the methods given in the doc of IB. Now that I want to use all the data to build other parallel systems with it, I have encounter problems organising the data that arrives from the IB server.

My program loops a list of 30 symbols to get live data from and then I want to put the data (ex. 'HIGH', 'LOW', 'CLOSE', 'VWAP' etc) from each symbol all together in one dataframe to calculate indicators and from there come up with an alert system that is based on them indicators.

This objective I have already accomplished it using only one symbol for the whole program. Is easy to store the data in instances or variables, pass it to a DataFrame and then calculate to set up alerts.

Now when looping a list of 30 values and receiving the data of all of them I have struggled trying to store the data for each symbol together and then calculate and set up alerts. Specially when I have to use several methods to receive the data (ex. I use tickPrice for some data and tickString for some other data) this several methods execute themselves one after the other but they wont necessarily have all the data at the same time, some values take more time than others to show.

I will show an example of my code to give even more context of my objective:

This is my EWrapper class:

I have Azure Bot deployed with Virtual Assistant Template, which was working fine (And still working in Portal's Test In Web Chat feature) until I enabled Direct Line App Service Extension.

Primary objective to enable DL App Service extension is to isolate bot access and secure app service.

I have followed MS documentation https://docs.microsoft.com/en-us/azure/bot-service/bot-service-channel-directline-extension-net-bot?view=azure-bot-service-4.0 and ensured every step is configured correctly.

Primary step to make sure DL app service is working correctly is to check if https://xxx.azurewebsites.net/api/messages or https://xxx.azurewebsites.net/.bot/ url return correct json result f.x: {"v":"123","k":true,"ib":true,"ob":true,"initialized":true} But instead i am getting Error Response 400 Bad Request and error message appeared in browser is : "Upgrade to WebSocket is required."

I couldn't even reach to a step where troubleshooting guide mentioned here : https://docs.microsoft.com/en-us/azure/bot-service/bot-service-channel-directline-extension-net-bot?view=azure-bot-service-4.0#troubleshooting could help to resolve.

As i said earlier Bot is still working and the url : https://xxx.azurewebsites.net loads site correctly , can be seen in below

Any help is appreciated

I am trying to ingest data from kafka into aerospike. What am I missing in the kafka message being sent?

I am sending below data into kafka for pushing into aerospike:

I want to use dot product between the leading and trailing axes of arrays with unspecified dimensions. einsum doesn't seem to accommodate this use case. User error?

With prnd=np.random.RandomState(),

I have a dataframe with two column: PathGroupStage, ClinGroupStage. I want to create a new column, OutputStage, that chooses the higher stage.

Valid value of stage: I, IA, IB, II, IIA, IIB, III, IIIA, IIIB, IIIC ,IV, IVA, IVB, IVC, Unknown.

• If both stages have values, then use the highest, e.g., IIIB > IIIA > III
• If one is missing and the other has value, the use the one with value
• If both are missing or unknown, then .= unknown

How would I derive the OutputStage variable comparing the non-numeric values from the two columns? I am thinking I need to factor levels but how would I compare the factors between different columns?

Here is the sample dataset:

In vanilla Python to create a class which, when initiated, would also initiate another class I would use __init__(self):

I would like to structure and unstructure an attrs object, which includes dict fields that use simple frozen attrs for the dict keys. This works very well for objects created at runtime, but the frozen attribute fails to make un/structuring with cattrs easy.

This is a simple example of the problem:

I'm generating dynamically table N columns x M rows

and I'm trying to make it print with default printing options as good as possible

So,

Whenever we're printing the table on A1/A2/A3/A4 paper, then table should TRY to occup full one piece of paper, its avaliable space with as biggest font as possible (people who will read it may not have perfect eyesight)

But when I go to e.g Microsoft Edge (it has tools to manipulate scaling, margins and stuff, so that's why I used it, which kinda worries me too, that printing results on Chrome/FF/Edge may vary)

and use preview (CTRL+P), then it always either takes more than one page, or uses only e.g 40% of avaliable space

A4 paper, no margins:

fit to the printing area:

real size:

Part of Code:

I got object that built like this,it is dynamicly so i dont't know how many nested objects will be and the outside object keys .The only known keys outside is "bids",and inside is (needed properties).