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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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Amazon Web Service Import/Export Commands

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In the process like Hadoop cluster, which is already installed on CLOUD, the main input for data processing is huge volume of data. The big questions is how to send data to CLOUD from local machine.
It is NOT so easy to send huge volume of data to CLOUD through network.

AWS Import or Export

AWS introduced new feature called Import/Export, so that you can send hard drive to AWS, they will upload your data to S3 storage.

Different calculations:

How networking causes hurdle to move data to cloud?

A) Your internet speed is 1.544 MBPS it takes 82 days - So your data is 100 GB or more, based on your net speed you need to go for Import/Export.

Your internet speed is 10 MBPS it takes 13 days - So your data is 600 GB or more, based on your net speed you need to go for Import/Export.

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