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Issue with Base64 encoding in Python and Decoding in Java

I have two packages running, one is written in python and the other in Java. The python package encodes a json(dictionary) object and sends it to the java package which decodes it into a specific POJO. Let the json in python be: { “name”: “John”, “Age”: 24, “Income”: None } The problem is that Java does not support None, it

How to detect protected cells in Excel file using Python?

Given that an Excel file contains some cells protected with passwords, I want to detect these protected cells to choose whether to include them in the inputs or skip them. I have tried pandas and openpyxl However, the protected cells are read normally like other unprotected cells and could be easily changed. So the question is, how could I detect

Django Model form not rendering

Im trying to create a model form on django but it doesnt want to render even though I mapped it properly and created the path. models.py forms.py views.py it refuse to render but it displays the html tag that is in the file but not the fields from the form. this is the html template AppsForm.html Answer you view is

Calculate distance between points in polygon

I found a lot of posts on how to calculate distance between two points or from one point to polygon but I simply can’t find how to calculate distance of each edge. I have a polygon, where the coordinates are these: I simply want to calculate length of each edge. Maybe I should use (math.dist(p, q)) with for loop or

How to pass self attributes to a decorator?

I have a decorator for an object method: I want to add another level of wrapping around this to allow parameters: Now, what I want to be able to do is pass a self attribute as a wrapper parameter, i.e. call it with something like this I see 2 options: make self._foo global don’t pass self._foo, and make the decorator

pandas.Dataframe equivalent for Pandas.read_csv converters?

This discussion covers the differences between dtypesand converters in pandas.read_csv function. I could not find an equivalent to converters for the pandas.DataFrame constructor in the documentation. If I build a dataframe directly from a list of lists, what would be the best way to mimic the same behavior? Some made-up example: output: What would be the best way to get

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