Python Social Media Analytics

Top repositories by technology

We know now which are the most quoted technologies and which are the most used programming languages. In the next step, we will try to understand what kind of repositories are the most watched in every category.

We select four main technologies which are quite different one from another:

technologies_list = ['software engineering', 'deep learning', 'open source', 'exercise practice'] 

We sort the data by the number of watchers:

result = df.sort_values(by='watchers_count', ascending=False) 

Then, we print the top five repositories for each technology using its name and description. The subsetting is done on the clean column to be sure that we use the same data as in technology extraction:

 for tech in technologies_list: ...