nassau | Fast Nasdaq transport protocol library for the JVM | Networking library

Any ideas why I get a connection error when trying to run a redis command from one container to another? I'm trying to run an old python 2.7 lambda locally in order to test before upgrading to 3.8.10 I'm running a script that builds and links redisdb container with my_app container:

I'm using Moment JS, and have just recently outputted the timezones listed using this.$moment.tz.names() in my Nuxt JS project. However, the timezones that my server has inside of the timezone_identifiers_list function in PHP seems to be about 100 or so less, and weirdly, it seems that some important ones are either missing from PHP, or not meant to be in Moment, such as:

US/Central

Why would PHP not contain these missing timezones from Moment?

I'll attach a screenshot of the ones that appear to be outputted from Moment that aren't in PHP, wondering how I can get these timezones into that PHP list?

I've outputted the list of timezones from PHP into a string, because I'm going to have to compare the moment ones then and set a default if my timezone guess logic picks one that doesn't exist since I have a Laravel validation rule for timezone.

I am new to this I am trying to use a for/in loop with my code. I have a code that works but I would like it to work in a for/in loop.

This is the source:

I am trying to match capital cities that contain three consecutive vowels.

I tried this method with this code. It works if I don't have any commas.

I'm new to the lat & long stuff. I found a Haversine Function that looks interesting. I have two data frames that I am trying to feed into the function, but I'm getting an error.

Here's the function.

I am trying to compare lat & long coordinates in two data frames. If the difference in latitude_fuze is < .01 latitude_air and if the difference in longitude_fuze is < .01 longitude_air, then I want to update the field df_result['Type'] to read 'Airport'. Basically, I have a DF with airport lat & long coordinates, and if these coordinates are very similar to the lat & long coordinates that I have in my business DF, I want to add a flag to the business DF to indicate that this is an airport.

Here is the code that I am testing.

I've been using Pandas to convert a .CSV file into a format that's readable on another system and I'm close to finishing it, but I just can't get it to work with timezones that are negative (UTC-1, -2 etc)

Here is the code I'm using, it's not the tidiest, but it gets the job done for UTC+ timezones, can you see why it might not be handling UTC- timezones correctly?

I have a list of lists (of lists of lists...it's lists all the way down) called geos with geolocation information for U.S. cities returned by the Google Maps API using the geocode() function in ggmaps (see dput at the bottom of this question for a representative sample of data on 10 cities).

I would now like to use bits of this list to populate a data frame with one row per location, i.e., per element of the vector of locations used in the API query. For argument's sake, let's say I wanted the resulting data frame to include columns for locality, administrative_area_level_2 (county), and administrative_area_level_1 (state), using long names for the first two and the short name for the last. Here's how the desired result would look.