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The cheatsheet goes wrong already for the first example of declaring a df: - you could do a range in python (range(11, 14)) - columns are called col_1 & col_2 vs a & b (both sets are horrible names) - pandas defines index of 0, 1, 3, while Julia would most likely have 0, 1, 2?

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Also df.loc[1:3, :] doesn't get the first N rows. First because of 0-indexing, second because when your index isn't ordered integers, you'll get completely unexpected results with .loc.

What do you mean? Julia is 1-indexed.

Ok, in that case Python would be 0, 1, 3 and Julia 1, 2, 3. My point is that the example explicitly skips an index in the definition of a data frame for Python, but it doesn't for Julia.

Surely Python would not skip the 2.

The code snippet explicitly defines the index to be 0, 1, 3. It may just be a typo, but if even simple examples are written sloppily, how can I trust the sheet:

df = pd.DataFrame( {'col_1': [11, 12, 13], 'col_2': [21, 22, 23]}, index=[0, 1, 3])

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