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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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SQL: 8 Frequently Used DATE Functions

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SQL Date functions
SQL DATE function for all Developers.

DATE Function is powerful in SQL. In SQL projects, people use this Function variety of ways.

All projects depends in DATE, and without it there is no way of existing of project. 

The Quick tour helps you use this function effectively. You can learn Oracle SQL step by step for all Developers.

Below is the list of SQL DATE functions
  • SYSDATE - It returns current local DATE and Time
  • CURRENT_DATE - Return local DATE and TIME and adjusted to current session Time Zone.
  • ROUND (DATE) - Rounds to nearest DAY
  • TRUNC (DATE) - Truncates Time
  • MONTHS_BETWEEN(date1,date2) - Returns number of months between date1 and date2'
  • LAST_DAY(DATE)- Returns last of the month
  • ADD_MONTHS(date,integer_months) - Adds specified number of months to specified date.
  • NEXT_DAY(date, day_of_week) - Returns to next day of the week that comes after the specified DATE
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