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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' ]) ...

Teradata: Key Role in Telecommunication Analytics

Teradata, a US analytics solutions and applications provider, has said that there is a growing market for next-generation analytics in India amid intense competition among telcos and growing mobile phone penetration. Insights Carriers with increasing consumer focus require next-generation analytics to unify data from both the traditional and Big Data environments and transform it into meaningful insights - on how subscribers are consuming their services and in turn how they can improve their marketing tactics for upselling, customer retention, and loyalty. And ever since mobile number portability ( MNP) - a facility that allows subscribers to retain their numbers despite switching operators - was introduced late 2010 in India, customer retention has become a key imperative for service operators such as Vodafone India, Idea Cellular, and Bharti Airtel. Telecom Analytics "With rising teledensity, ensuing competition, and falling average revenue-per-user, telcos will have to look b...