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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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Five real ideas you need to get Success from failures

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The list looks so small. But these are so powerful. I hate that expression! And everyone seems to use it. Got fired from your job? It is what it is. Lost your savings? It is what it is. Put on 50 pounds? It is what it is.

failure

Never use It is what it is

  1. Stop saying “it is what it is.” The expression is a mantra for losers. 
  2. Be honest with yourself. Halfway through the tryout, you thought it wasn’t going well, so you stopped pushing yourself, didn’t you? 
  3. “Tryouts didn’t go well because you didn’t try your hardest. You gave up mentally, so you gave up physically.” 
  4. When you fail, figure out why ?
  5. It’s my fault. It’s always my fault—thats way I am in control.
Adopted from www.success.com

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