Please correct your markdown for the code. If you use the below format, you will get properly highlighted code with respect to Python language. The result of the same is - Currently in your code, it is very difficult to assess which is a comment and which is a keyword .

Thank you for this nice article. Really you covered important details.

Really nice post.

Nice. I will try to do it in Python.

Hi, I also wrote an article about mapping the earthquake data and animating the visualization process using the time factor. It is nice that we both wrote an article on the same topic that too on the same day.

Thank you.

It is nice to know that we can leverage Python for generating avatars. I would like to know if I provide my image, based on that it should generate the avatar for me. Is it possible with this package?

Nice post. For More Data Preprocessing , we can also use the pandas cut method to convert numerical data into categorical. For your example, I guess it is better to use apply() and pass a function (since you have multiple conditions). Whenever we are using inplace=True , we do not need to store again in a new df , we can see the changes that already happened to the old df itself.

Although it is fascinating that it can generate code given an instance (in the form of a comment), someone needs to be there to verify and moreover to optimize it. I wonder how it will respond given a comment - generate an optimized code to do <any_task> .

Nice post!