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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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For a trainee software engineer who is a fresh college pass out the salary falls somewhere between INR 1.5 to 2.5 Lakhs per Annum. This increases as one climbs up the career ladder – with a figure of INR 3.0 to 6.0 Lakhs per Annum for software engineer/programmer analysts, INR 4.5 – 10.0 Lakhs per Annum for senior software engineer, INR 6.0 – 13.0 Lakhs per Annum for project lead and INR 8.0 – 19.0 Lakhs per Annum for program manager.

In addition to the high salaries, there is lot of international assignments which requires travel to different countries for the talented ones. One has to keep oneself constantly updated with the newer skills and emerging technologies so as not to become an obsolete resource.

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