Bristol | Insanely configurable logging for Node.js

I am working on a data table that talks about streets consisting of a single column. Each street is a block of rows of variable length The first line contains the name of the street, and the others lines various details Each street is separated from another street by a cell containing 4 stars. How do I reorganize my data?

So, I've a command set on my bot that whenever someone types "/planeidea" it sends the name of a plane, however, i've like 300 lines of names of planes. (I reduced it, so you can see an example of what im talking about). What i wanna do is make a .txt file and place all the names of the planes instead of having it in the main code.

My goal here is to make a geodataframe from a couple of columns of coordinates in an existing dataframe, take those 1677 geographic points and add a buffer circle around each, then union the resulting polygons into a multipolygon. Where I keep getting wrapped around the axle is the .buffer() part of geopandas doesn't seem to be using the units of measure for the CRS I've selected.

I'm trying to create a journey booking system in python/flask and am trying to create a dict of starting destinations and their ending destinations to allow me to run some ajax code which restricts the options of selecting destination based on the starting location like this (this is just an example of what I'm trying to create, not exactly the values I want):

I am trying to create a subset of a data frame based on a range surrounding the values of a second data frame, I've been researching but I just cannot figure out how to go about it. I've used dummy data here as they are both large datasets with many columns.

Data Frame 1 (df1) has 50 columns, thousands of recordings at different Latitudes

Data Frame 2 (df2) has several hundred towns all at different latitudes, it is significantly smaller than df1

I need a subset of df1 which only includes rows with latitudes that are within 0.01 of a latitude in df2. So the code needs to look down every row of df1 and test that number against every row of df2. The output would include only rows from df1 where the latitude value is within 0.01 range of a value in df2$Latitude.

From the example, the following lines would be included

I have the start of the code to do a filter that I could then run through the data frame to create the subset

I am using SQL Server 2014 and I have the following T-SQL query running against a table (tbl1).

Extract of tbl1:

I am having difficulty in trying to pull the href from a website. I have been stuck on it for a few days nows. As the image below shows I can get all the other required information. I have tried several variations for the class as well as trying to get it via the a Tag, however I can not work it out.

link

This is my latest attempt, still can not work it out

Question, Can someone please point out the correct Class?

I am doing Exploratory Data Analytics of Sports Data using R Programming... I want to print the records from the Data Frame based on two condition condition : Country == "England" ||(OR operator) Ground == ground can be any one from the below list

I have a csv list of towns that contains the town,county,country. I removed the headers for the sake of not having to do so in the coding.

Here is what I have: