snowfall | early draft of what will eventually be

I'm new to C and would greatly appreciate some help in fixing a bug in my program.

I've identified an edge case and I'm not quite sure how to resolve it.

Currently, the function will find and replace words and words within words given a text file. For instance, changing 'water' to 'snow' will change the string 'waterfall' into 'snowfall'. This is an intended result.

However, when I input 'waterfalls' to change the word 'waterfall', the program seems to get stuck in an endless loop. I'm not quite sure why but I would appreciate if anyone could point me in the right direction.

Here is my code:

I'm trying to grab snowfall data from the National Weather Service at this site:

https://www.nohrsc.noaa.gov/snowfall/

The data can be downloaded via the webpage with a 'click' on the file type in the drop down, but I can't seem to figure out how to automate this using python. They have an ftp archive, but it requires a login and I can't access it for some reason.

However, since the files can be downloaded via a "click" on the webpage interface, I imagine there must be a way to grab it using wget or urlopen? But I can't seem to figure out what the exact url address would be in this case in order to use those functions. Does anyone have any ideas on how to download this data straight from the website listed above?

Thanks!

Thank you for viewing this post first and foremost. I am struggling with formatting some dates with corresponding values in R. I am using a dataset that includes monthly snowfall (VALUE) with its respective year/month (month).

Currently, I have it to where it includes all months of the year, but I would like to limit it down to just including October-March. I am using library(dplyr) to help with the cleaning. Currently, I have the following code:

I am trying to clean a dataset in a way where I have a column of dates with the respective months and annual snowfall for the respective month.

I am struggling with doing so, and am asking for some help.

Instead of it being columns for each month, I would like it to be where I have one column with each year/month, including a column with the respective annual snowfall.

Please help me

The below one is the problem...

write an expression to extract a new dataframe containing those days where the temperature reached at least 70 degrees, and assign that to the variable at_least_70. (You might need to think some about what the different columns in the full dataframe represent to decide how to extract the subset of interest.) After that, write another expression that computes how many days reached at least 70 degrees, and assign that to the variable num_at_least_70.

This is the original DataFrame

Good day everyone, I'm trying to obtain the numerical value of 'review' what happens is that in the JSON it returns it as a String and therefore I cann't perform a sum that I did, resulting in a meaningless value

The objective is that, when someone makes a comment about an X product, the data is saved in Firebase in a JSON, the problem is that 'review' is saved as a String and not saved as a number

Is there a way to take this single piece of data and convert it to number?

This is the JSON response

For example, let the data frame, df, be

Is there a way to make a bar graph of the total snowfall by location?

London's bar length would be 3.7 and so on...

I have a dataset that holds weather data for each month from 1st day to 20th of month and for each hour of the day throw a year and the last 10 days(with it's hours) of each month are removed.

The weather data are : (temperature - humidity - wind_speed - visibility - dew_temperature - solar_radiation - rainfall -snowfall)

I want to upsample the dataset as time series to fill the missing data of the days but i face many issue due too the changes of climate.

Here it what is tried so far

I have two modules:

Main: