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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 Skills You need for Automation Career

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Automation Developer Skill Set
According to KPMG -Process automation provides a means to integrate people in a software development organization with the development process and the tools supporting that development. Successful career you need these Skills.

What you will achieve by Automation

By automating processes, you can boost your efficiency and help ensure standardized handling of repetitive workflow steps. Organiz ation’s benefits are translation projects that can be realized in a shorter time for less money.

Skill set you need:


  • Programming Languages (C++/Java/Scala),
  • OOPs Concepts - MUST
  • Unix/Linux - MUST

  • Automation Development/Scripting Experience - MUST
  • XML/Xpath - Optional
  • Perl/Python/Shell Scripting - Optional
  • SQL/Sybase/Mongo DB - Optional
  • Web Services - SOAP or REST API - Optional

Additional Skills:

  1. Puppet/Chef/CFEngine experience 
  2. Experience with system packaging tools; e.g. RPM 
  3. SQL database programming experience 

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