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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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Google Analytics - Training.PDF

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Google Analytics can track data from a shopping cart on your own or other,
domains with the addition of some code.
If your website initiates a purchase checkout process on a separate store site
(for example, if you send customers from www.mystore.com to
www.securecart.com), you just have to add some tracking code to your store
site and the shopping cart pages on the host site.
The specific code can be found in the Analytics Help Center in the article titled,
“How do I use Google Analytics to track a 3rd-party shopping cart?”

Read more here:

http://static.googleusercontent.com/media/www.google.com/en//grants/education/Google_Analytics_Training.pdf

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