Amsterdam | Docker based Suricata Elasticsearch Logstash Kibana | Continuous Deployment library

I have an object with 2 properties available - timestamp and timezone, and they usually look something like this:

I need your help with custom markers in Leaflet. I need custom markers that correspond with the data entries. Here is a data SAMPLE csv that looks like this:

This is my code by now

I have a dataframe that contains a large number of reviews, a large list with noun words (1000) and another large list with verbs/adjectives (1000).

Example dataframe and lists:

I have a dataframe which contains reviews, as well as two lists, one which stores nouns and the other storing verbs/adjectives.

Example code:

I've googled quite some bit regarding this and could not find an answer that applied to my problem. The issue im having is that i've got a dataframe and each row has a variable and I want to continuously insert rows with variable C which is the value of variable A + B. Example:

I am running an Apache Jena Fuseki server als the SPARQL endpoint that I can connect to when using the application normally. Everything works and I get the output from the resulting query.

But When I try to run my test with Springboot, Junit5 (I assume) and MockMVC it always get stuck on the following part:

I am working on cleaning the Twitter data which contains the "user_location" column. I want to make this column data uniform by removing the names of regions, cities, states and replacing them with the respective country. I was doing this manually. Is there any other way to do the same? My code is working good, but I want to optimize it if there is any other way. It's a brute force approach and even making my code too lengthy.

I have a django model with the following presentation in mysql:

I have texts that have been saved to a database without their formatting. I need to make them readable again. There are some clues to determine where paragraphs and titles used to be, but I'm stuck defining the correct pattern to wrap titles inside

Example of a text:

Amsterdam is trying reduce energy consumption from data centers.It's goals is to reduce consumption by 86 million kWh in the next three years.Current SituationToday all data centers combined use 460 million kWh every year

In above case, the title is Current Situation. I can detect the start of the title thanks to the punctuation and the end thanks to the uppercase letter of "Today" (that starts the next paragraph)

My regex works as follows:

• Matching group 1: start from punctuation
• Matching group 2: exclude more punctuation, continue until a lowercase letter ...
• Matching group 3: ...is directly followed by an uppercase letter

The Regex: