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Top Questions People Ask About Pandas, NumPy, Matplotlib & Scikit-learn — Answered!

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 Whether you're a beginner or brushing up on your skills, these are the real-world questions Python learners ask most about key libraries in data science. Let’s dive in! 🐍 🐼 Pandas: Data Manipulation Made Easy 1. How do I handle missing data in a DataFrame? df.fillna( 0 ) # Replace NaNs with 0 df.dropna() # Remove rows with NaNs df.isna(). sum () # Count missing values per column 2. How can I merge or join two DataFrames? pd.merge(df1, df2, on= 'id' , how= 'inner' ) # inner, left, right, outer 3. What is the difference between loc[] and iloc[] ? loc[] uses labels (e.g., column names) iloc[] uses integer positions df.loc[ 0 , 'name' ] # label-based df.iloc[ 0 , 1 ] # index-based 4. How do I group data and perform aggregation? df.groupby( 'category' )[ 'sales' ]. sum () 5. How can I convert a column to datetime format? df[ 'date' ] = pd.to_datetime(df[ 'date' ]) ...
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2 Tricky Examples Python List Comprehension

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Here are the tricky examples of list comprehension. These examples useful for your project and interviews as well.

1. Printing odd numbers

Printing odd numbers

Reminder checking logic used here. If it is not equal to zero when you divide the number with 2, it treats the input number as odd and prints it.


lst1 = [x for x in range(40) if x % 2 != 0]
print('First 20 Odd Numbers:')
print(lst1)

2. Printing even numbers

Printing even numbers

Reminder checking logic used here. If it is equal to zero when you divide the number with 2, it treats the input number as even and prints it.

lst2 = [x for x in range(40) if x % 2 == 0]
print('First 20 Even Numbers:')
print(lst2)


Output from the Python scripts

First 20 Odd Numbers: 
[1, 3, 5, 7, 9, 11, 13, 15, 17, 19, 21, 23, 25, 27, 29, 31, 33, 35, 37, 39]


First 20 Even Numbers: 
[0, 2, 4, 6, 8, 10, 12, 14, 16, 18, 20, 22, 24, 26, 28, 30, 32, 34, 36, 38] 


** Process exited - Return Code: 0
** Press Enter to exit terminal

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