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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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New IT Job Roles So Popular to Read

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The popular job roles you can read today. These are new in the industry. Knowing is not harmful. You will get ideas on achieving these roles.

E-Commerce Business Analyst

It involves supporting the development of e-commerce solutions. This person should possess strong analytical, organizational and communication skills and will have demonstrated the ability to collaborate within a team environment.

Virtualization Engineer/Architect

It refers to the agile provisioning of converged storage, computes and network resources. It requires knowledge of how to take a cluster of physical servers and make them virtual machines, it also extends to network and storage virtualization

CRM Expert

Customer Relationship Management (CRM) experts need to work on complex CRM applications and their role includes programming, project management, project development, systems configuration, and development. Read more

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