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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' ]) ...

7 Amazing Ideas to Make Resume for First Job

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Resume writing is a skill. Out of a thousand applications, only a few would shortlist for the next process. Here are my ideas to provide in your resume before you send it out. Resume format How to make resume format Give Mobile number and E-mail on the top of your resume. Use MS-word to format it. Organize information using bullets wherever the need. Check Spell and Grammar. Two pages are ideal for any type of job. 7 Amazing ideas Detailed resume ideas Provide genuine-experience. Transferable skills such as Public-speaking, Customer-communication - good to mention. Provide previous experience in reverse order - last-in-first. Keep educational qualification after the experience. No need to mention weaknesses. Add awards you received during your employment. Not required salary details.