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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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Bank ATM Analytics - SAP Hana

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Problem:

ATM(Automated Teller Machine) has become an integral part of our society. Recent estimates developed by ATMIA place the number of ATMs in use currently at over 2.2 million, or 1 ATM per around over 3000 people in the world. If we think of very specific banks than a recent information in wikipedia states that SBI Group (State Bank Of India) has around 45000+ ATM. So we see the numbers are huge. But there is a very big problem and i would like to use a typical example from India to illustrate this. Here, many times the ATM runs out of currency notes of specific denomination as lets say Rs 100. The end consumer is left with the option of either accepting currency of higher denomination or seek a different ATM. Here we also have a charge applied by the bank if a consumer withdraws money from a ATM of a bank different from the one in which he holds his account.
Now this is a major inconvenience for the end consumer and also a loss for the bank as their reputation is effected.

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