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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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IT Skills you need to get top jobs in e-commerce

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Technology and digital marketing-related skills are in huge demand as e-commerce companies have got big-ticket investments.

IT Skills for e-comm jobs
IT Skills for e-comm jobs
Technologies in Demand

Domestic consumption of technology, especially in mobile telephony, is on the rise. The traditional IT services sector is likely to see a spurt in hiring as demand revives in Europe, along with expected economic turnaround at home.

Hot in Demand IT areas

According to Teamlease, this category will provide opportunities for a wide range of people:
  • beginning with IT infrastructure managers
  • mobile developers on IOS, Android, and Windows
  • languages like Python, Ruby on Rails, HTML, and CSS
  •  IT security
  • cloud computing professionals.
  • Experience developing applications using technologies such as Java, Node.js, HTML5, JavaScript, SpringBoot, Tomcat, and Selenium.

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