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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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Tutorial: SAP HANA Basics for Beginners

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What is SAP HANA?

HANA stands for High-Performance Analytic Appliance. SAP HANA is a combination of hardware and software, and is therefore an appliance.

SAP HANA supports column- and row-level storage. We can store and perform analytics on a huge amount of real-time, non-aggregated transactional data. Hence, HANA acts as both a database and a warehousing tool, which helps in making decisions at the right time.

Challenges in Traditional RDBMS?

There are a few challenges in traditional databases, such as latency, the cost involved, and complexity in accessing databases.

Related: SAP HANA jobs and career options

What is Architecture of traditional RDBMS?

Presentation Layer:

This is the top-most layer and allows users to manipulate data so that they can input it for querying.

This data input from users is passed on to the database layer through the application layer and the results are passed back to the application layer to implement business logics.

The presentation layer can be anything—the web browser, SAP GUI, SAP BEx, SAP Business Objects, and so on. These tools will be installed on individual client machines.

Application Layer:

This layer is also called the business layer. All the business logic will be executed in this layer. It controls the application's functionality by performing detailed processing. This can be installed on one machine or distributed across more than one system.

Database Layer:

This layer receives data from the business layer and performs the required operation from the database. It contains database servers that store the data. Data is stored independently of application layers or business logics.

The database layer remains as an internal interface and is not exposed to the end users. The application layer has to access the data in the database only through this layer.

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