airfield | Application Deployment Utility | Continuous Deployment library

I'm writing a program, that takes 200 planes distributed with the poisson distribution over 12 hours and these planes need to land at an airfield that only has 1 runway. I use the reverse CDF method from the exponential distribution to determine the inter-arrival times. However, I can't seem to calculate the waiting time in the air.

E.g. a plane arrives at 100 seconds, takes 75 seconds to land and is done at 175 seconds. Plane 2 arrives at 150 seconds and must wait 175-150 = 25 seconds. How do I program a variable that my function can output, that takes into consideration that the waiting time also can be 0 seconds?

I have a dataframe like the following:

Sorry, I'm not quite sure how to describe my issue.

For an online python course I'm following there's an exercise I can't figure out. (raise NotImplementedError() refers to lines I need to input code).

The line of code station_years = 2019 - station_start_years[selected_station] is what I'm stuck on. I'm aiming for the list "station_start_years" to chose its value based on my selected_station value, which is based on station_names.

num = int(input('select a station: ')) was inserted by me so may be wrong.

Thanks for any help, I've read through the exercises but am lost.

station_names = ['Harmaja', 'Kaisaniemi', 'Kaivopuisto', 'Kumpula', 'lighthouse', 'Malmi airfield', 'Suomenlinna aaltopoiju', 'Vuosaari harbour']

station_start_years = [1989, 1844, 1904, 2005, 2003, 1937, 2016, 2012]

Below we can define the selected station: #raise NotImplementedError()

num = int(input('select a station: '))

selected_station = station_names[num]

Next we find the location of the selected station in the list of station names:

station_index = station_names.index(selected_station)

Now we can calculate the years the station has been operational:

raise NotImplementedError()

​

station_years = 2019 - station_start_years[selected_station]

Now, we can print the station name and number of years of operation to the screen. A sample print statement on screen is 'The Helsinki Harmaja station has been operational for 30 years.' The print statements should work for all listed stations only by modifying the selected_station -variable that is defined earlier in this problem.

raise NotImplementedError()

I have a folder which contains a depth of up to 3 layers of subdirectories, with images in the deepest subdirectory (for most images, this is just one level). I want to rename these images to include the name of the directory they are in as a prefix. For this, I need to be able to run a single command for each subdirectory in this tree of subdirectories. This is my attempt:

I am trying to plot Starbucks locations from CSV data onto a city shapefile that I've loaded in. I want to essentially create a heat map or simple scatter plot with the Starbucks locations on the city shapefile. The csv file has longitude and latitude points.

This is the code I have so far, I'm having trouble with merging the two files together though. Please let me know if you can help!

I declare a leaflet map with

Over our engineer week, my school gave out code challenges. You are not allowed to use libraries that solves a major chunk of the problem. Here is my problem.

Doing a course in my own time called GeoPython 2018 and am heavily stuck on Lesson 3, Exercise 3.

The content so far has been conditional statements, loops and lists (no dictionaries).

THE PROBLEM:

We are asked to take a list of weather station names, a list of latitudes and a list of longitudes and divide them up into 4 regions (NE, NW, SE, SW) defined by the cutoffs.

I am trying to create a custom breakpoint for my navbar so that it changes to a hamburger menu at 1080px. However the entire navbar expands when I click on a dropdown.