pds | Package Development Standards

I've been working with Here Maps APIs and while testing the APIs I have noticed that the results of the distance from a point A to B using the discover and autosuggest APIs differ from the results given by the calculateroute API Here is an example

Here is what the autosuggest API returns https://autosuggest.search.hereapi.com/v1/autosuggest?at=34.7505979,10.71047164&limit=5&lang=en&q=faculté de medecine&apiKey="Your_API_Key"

So I tried making an simple example using the python multiprocessing module.

I am attempting to get a list of all links of satellite data for a year/month on the European Space Agency's Cryosat-2 website (https://science-pds.cryosat.esa.int/#Cry0Sat2_data%2FSIR_SAR_L2%2F2013%2F02). No matter what web scraping or html reading package I use, the links are never included. Below is an example of such an attempt with the url provided, but it is by no means my only attempt. I am looking for an explanation as to why the links that initiate the download of individual files aren't extracted, and what the solution is to obtaining them.

I have several values scraped from a website, and I wanna covert to dataframe like:

I'd like zip some lists from html, I use codes like:

I am trying to get all links, titles & dates in a specific month, like March on the website, I'm using BeautifulSoup to do so:

I am using Python and I am trying to access the result of function PlacesAPI where I can see supermarkets around me and create a dataframe with few parts of each dictionary inside the main dictionary using a for loop, however I am getting the same information for different rows.

Can you please help me to put each different parts of dictionary in a different row?

Here is my code and the result (now reproducible):

So currently I’m generating a xlsx from a table that is in MySql with a lot of columns but for this matter I only need one. I’m using pandas to generate that xlsx, I open the connection to the database and then I do this:

I am trying to load and see the contents of data which can be downloaded from here. After which I need to analyze it. In this regard, I had already posed on problem, but I could not get any solution.

Now, I went through their label file located here. In that, it is mentioned that

“Will code useful Python based letters to describe each object
/ / see http://docs.python.org/library/struct.html for codes / / formats will comma separated beginning with "RJW," as key then / / {NAME}, {FORMAT}, {Number of dims}, {Size Dim 1}, {Size Dim 2}, ... / / where {FORMAT} is the Python code for the type, i.e. I for uint32 / / and there are as many Size Dim's as number of dimensions. ”

So, I guess one can try python. I do have a working knowledge in python. So, I started with this program which I got from here (for simplicity python file and the data files are in same folder):