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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 Prepare Resume Using Online Tool

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Here are five ideas to prepare resume using online tools. The resume surely will impress  HR and interviewer.

Onlie tool


Ideas for Online Resume

  1. Here is an open-source tool so that anyone can build a digital resume on their own domain. (It’s free.) 
  2. Don’t just showcase your relevant work experience; showcase your personality. 
  3. Set up a professional email, preferably at your own domain name. 
  4. Empower others to spread the message for you (Social media)

Think outside the box to creatively get the attention of decision makers.

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