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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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How to use Python Interactive Shell in an easy way

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It's like this: Python leads a double life. It's an interpreter for scripts that you can run from the command line or run like applications, by double-clicking the scripts.

What is Interactive Shell?


But it's also an interactive shell that can evaluate arbitrary statements and expressions. This is extremely useful for debugging, quick hacking, and testing.

I even know some people who use the Python interactive shell in lieu of a calculator! 

Launch the Python interactive shell in whatever way works on your platform, and let's dive in with the steps shown here:

First Steps in the Interactive Shell

>>> 1 + 1 ❶
2
>>> print 'hello world' ❷
hello world
>>> x = 1 ❸
>>> y = 2
>>> x + y
3
❶ The Python interactive shell can evaluate arbitrary Python expressions, including any basic arithmetic expression.
❷ The interactive shell can execute arbitrary Python statements, including the print statement. 
❸ You can also assign values to variables, and the values will be remembered as long as the shell is
open (but not any longer than that).

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