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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' ]) ...

Why You need DevOps: Quick 5 Minutes Quiz

Here's a quiz According to EDUREKA, DevOps is a philosophy, a cultural shift that merges operations with development and demands a linked toolchain of technologies to facilitate collaborative change.


DevOps Quiz



Why DevOps needed?


Since the DevOps philosophy is still at a very nascent stage, the application of DevOps, as well as the bandwidth required to adapt and collaborate, varies from organization to organization, yet we can talk about a winning formula of skills that can present you as a perfect candidate for any type of organization.


Role of DevOps


Which Skill DevOps Engineer should have?


ON TOP OF web languages such as Ruby, Python, PHP, or Java, the ideal DevOps engineer should have some experience using infrastructure automation tools like Chef, Puppet, Ansible, SaltStack or Windows PowerShell DSC.

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