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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' ]) ...

Cloud Computing - Career Options

There is an explosion in both the use of cloud computing and the demand for people to assist in the mass migration to cloud. Indeed, there are about 50 to 70 jobs chasing truly qualified candidates at this point in time, according to technical recruiters.
Photo Credit: Srini

Roles in cloud computing

  1. IT pros with specific cloud skills
  2. IT pros with admin skills
  3. Cloud solution architect

Skill set

  • Expertise in Amazon web services
  • Development skills in Google App engine

Leading skill set

  • AWS-amazon web services
  • Microsoft Cloud
  • Rackspace cloud

Typical Cloud Computing certification programs

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