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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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MongoDB and HCL on Bigdata

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MongoDB and HCL Infosystems have announced a global partnership which will allow HCL Infosystems to further broaden its solution offerings in the emerging big data segment by developing services around MongoDB.

Commenting on the partnership, Kamal Brar, Vice President APAC, MongoDB, said: "Big Data is more than just addressing increasing volume; organizations need solutions that can manage increasing data variety and velocity. Today, businesses need to quickly ingest, store, and access useful information from massive pools of multi-structured data.This is where MongoDB excels. HCL Infosystems will offer innovative solutions and services for organizations to gain value from their data and make smarter and faster business decisions. Partnering with HCL will further strengthen our footprint globally."

Since its inception MongoDB has collaborated with organizations worldwide and now has a thriving global community. Common MongoDB use cases include single view, Internet o ..

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