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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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Top 20 highest paying working from home jobs

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U.S. businesses will spend half a billion dollars hiring remote freelance workers in 2014. "The growth is a clear indicator of a transition of work online," says Fabio Rosati, CEO of Elance-oDesk.

The company's platform — which serves as a broker between companies that need skills and freelancers eager to supply them — sees 2.7 millio n freelance jo bs posted a year. According to Elance-oDesk , the total earnings of freelancers have grown 50% compounded annually over the past five years.

From Rosati's perspective, so many businesses are hiring these workers because they need work done on demand, typically for a short stint. In those cases...
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