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Hi, in this video, I'll show you how to write a Python script which accesses dots of weather forecast

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data from a weather API and puts them in a text file.

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So this is our input empty text file, but after we were on the script, we're going to get something

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like this.

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So full cast data, city data, time, temperature and the sky condition every three hours for five

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days.

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Let's see how we can do that.

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I'm going to start by importing requests and then write a function.

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Get.

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Whether you know what variables we have here, well, City and also units, which will be matrix by

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default for other options, you should go to this page after you have signed up for an API key because

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you also need an apology for this.

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So sign up on open weather map dot org and give the API key.

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And then go to this page and you'll see the parameters you have.

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So for units, you can answer standard metric imperial.

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So I'm going to use metric by default and also by default.

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I'm going to have the API key equal to my API key.

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A column and then the next step is to construct the URL.

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Usually we use a knife string.

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So that would be we can go to the documentation.

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This is excellent documentation, by the way.

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So I'm going to copy that.

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You want to.

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That's an example you are out and paste it in here.

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Add the HTP colon slash slash part as well, I know from the other examples here that you can also add

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and see units equal to.

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Units, some metrics will go replace that support.

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Now, let's see if we got this correctly forecast Q equals to city, not city name.

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So this should reflect your function.

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Parameter API key should be API underscore key.

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So the scene asks that units should be units.

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That's fine.

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Next, we create a response object so requests don't get and we pass the URL and let's check the content

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content.

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That's our Jason.

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And I'm just going to return to the content.

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Just to see what we have so far.

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So, City, let's try Washington

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and Rome.

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And it seems like we've got.

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But Jason does a correctly that's fine, but next, I want to dive into these data to understand them

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better.

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So I'm going to use the debugger here.

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I'm going to place the breakpoints in here so that this part is not executed and the execution freezes

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at this point so that I can explore the content dictionary of this here that we got printed out.

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For that, I'll go to the debugger.

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Start the debugger run, it's.

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And we should see the contents variable in here.

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It has this list key, which has different dictionaries, so from zero to 39.

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This corresponds to data for five days every three hours.

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So for one day we have AIDS measurements because one day has 24 hours.

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That means 24 times an interval of three.

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We have eight observations.

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So eight for five days, we have 40, so 40 observations.

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These are all the observations that we have, and they are nested in the least key.

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So if we expand that, we have, these are the keys.

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So that's a dictionary.

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It has the main key.

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The main key is these other dots.

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It has this date DTT.

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So let's try to keep that that's open and maybe try to loop over these 40 observations.

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So for some in.

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Content, so content is the dictionary, but we don't iterate over content that we iterate over contents

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of lists list, so that will give us this list of 40.

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Dictionaries.

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So, again, content.

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It's a dictionary, this dictionary has a list key, and the value of this list key is a list.

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So that's the list, and this list, as you see, has folded dictionaries.

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So one dictionary here writes one dictionary their answer one.

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So we're iterating over these dictionaries in here.

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So item now will be a dictionary, let's say, for Dixie to be more clear.

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Let's call it like that for Dixie in content.

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So we're going to get this first dictator.

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And what do we do with that?

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Well, let's find out.

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Well, what do we need to bring out?

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We said we want the city name, but we can get the city in other ways and then we want the temperature,

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the date and the sky condition.

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So the dates, as I so was told in these D.T. underscored the full How do we access that value?

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How do we access that for every dictionary?

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Well, text is part of that dictionary.

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So print dick T T T s t should give us that date.

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So I'm going to stop the debugger.

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And to run the script.

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And see what we we getting the command line,

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so I also remove VAT return and run again so that we don't get both the content and the dates.

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It's too much theater and these are the dates.

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So we were able to extract 40 dates.

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Now let's extract.

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The temperature again, if I opened the debugger.

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First, let me delete that so that we don't have errors in the codes otherwise that this will not execute.

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So the content lists and then if you open this dictionary, so we access detective, but if you look

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inside main.

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You see it as a temp value.

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Now, this should have been in Celsius degree, but it's not because I put metrics, it should be metric,

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so I did leave the SE and stop it and run again and then make sure that breakpoint is here again.

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Under the content variable, remove all the break points and run the debugger.

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So content list.

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And then we have these dictionaries.

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And on the main, we have temperature temp, so one point sixty five.

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So we're talking about Dixie again than Maine.

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And then from Maine, we get.

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Temp, that's one.

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Right?

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And then lastly, we have to extract the sky condition, which is not in Maine, but it is under weather,

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weather and you have description.

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So again, dicta and weather and then.

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Description.

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And actually, actually now weather gives us a list.

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So this will give us a list, not a dictionary.

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So that list has one dictionary inside.

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So therefore, from that list, we want to extract the first item of that list, which is the dictionary.

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The entire dictionary is the first item of the list.

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And then so we place whether zero, a very strong description out of that.

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So stop the debugger now and run the script.

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And we see that we got the delta, we expected that date stamp.

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The time stamp, the Celsius degrees and the condition of the weather, all of the sky.

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Whatever you call it, soon we got those printed out.

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But let's make a very small change in the codes so that we write them in our text file in here.

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So let me delete what we have so far, and you need to keep the cursor here so that everything is added

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under that.

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And then we go here and before the loop, we want to open a file.

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Delta T t.

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So that's the path to our existing file and we open that's in append mill to using an a flag.

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S file and then we iterate.

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So now we want to get all that's loop and indented.

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To be under that with context manager, so as we keep the file, so why we keep the file open, we iterate

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and then instead of printing, we say, file that right.

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Close the parentheses of the right methods here and there.

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And then instead of passing multiple arguments to the right methods, we write that we construct the

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string and f string.

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So F quotes here as well.

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Oh, we have an extra parentheses, so remove that the quotes goes in here.

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So that's good.

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So that looks fine in parentheses.

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F quote at the end, quote parentheses.

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Then we place curly brackets to grab these variables.

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Like that's I lost one.

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And run.

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Check that out, that's your seat.

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Yeah, it's almost an OK, but we need to split those.

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So let's go back to the codes.

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And what I'd like to add is at the end before the closing.

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Quotes, I want to add a backslash and which will create a break line between the delta.

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So I ran again, the scripts go back here and so this is what we get.

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So this is appended through the existing data, by the way, anytime you execute it.

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New data are appended, as you see.

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So let's delete those again.

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All of them run.

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Data added in here.

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Run again.

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More dogs are added, so we that's you can schedule with scripts, perhaps to run every 24 hours or

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every five days so you can build a continuous does a file containing weather forecasts for a long time.

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And that's the final scripts we don't need to return to the contents or we delete that.

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So only 11 lines, but quite complex with this nested dictionaries that we've got here.

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So you have to be patience when it comes to passing data.

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You have to be patient to understand the data first and then know how to apply.

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This nest, it's accessing operations, as we did in here, so I thank you a lot for falling and simulating.