In this tutorial, we’ll learn how to harness the power of Google’s Gemini models alongside the flexibility of Pandas. We will perform both straightforward and sophisticated data analyses on the ...
There’s a lot to know about search intent, from using deep learning to infer search intent by classifying text and breaking down SERP titles using Natural Language Processing (NLP) techniques, to ...
df2 = pd.DataFrame(np.arange(12).reshape(3,4),index=['e','f','g'],columns=['a','b','c','d']) print(df2.sort_index(axis=1,ascending=False)) print(df2.sort_index(axis=0 ...
Thought: We need to check if the "FG-40F Series" row has "Yes" in the "Local Reporting" column. Action: Use pandas boolean indexing to filter the dataframe to only the "FG-40F Series" row and check ...
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