Tutorials

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Explain SAS PDV step by step with a example

The Program Data Vector (PDV) is a critical concept in SAS programming, particularly in the context of the DATA step. It represents the current state of data processing during the execution of a DATA step. Let’s delve into how the SAS PDV works in detail: 1….

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Functions in Python- Syntax, execution, examples

Functions in Python- Definition Functions in Python are blocks of code that perform a specific task, and they can be defined using the def keyword. Function template def function_name(input_varibales, …): processing return output_value_or_exppression output_variable…

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Python Data Types, Type Casting, Input(), Print()

In Python, data types define the type of data that can be stored in variables. Here are the main data types in Python: 1. Numeric Types: int: Integer values (e.g., 5, -3, 1000) float: Floating-point values (e.g., 3.14, -0.001, 2.0) 2. Sequence Types: str: Strings,…

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Python Syntax – Main Points

Python syntax refers to the rules and conventions that dictate how Python code is written and structured. Here are some fundamental aspects of Python syntax: Statements and Indentation: Python uses indentation to define blocks of code, such as loops, conditionals, and…

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Indexing in SQL- Explain with examples

Indexing in SQL is a technique used to improve the performance of queries by creating special data structures (indexes) that allow for faster data retrieval. Indexes are created on one or more columns of a table, and they store the values of those columns in a sorted…

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Pattern matching in SQL- Like Operator

LIKE Operator: The LIKE operator is used to search for a specified pattern in a column. It allows the use of wildcards: % (percent sign): Matches zero or more characters. _ (underscore): Matches any single character. Examples: SELECT * FROM employees WHERE last_name…

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List out Performance optimization steps for SQL

Optimizing SQL performance is crucial for ensuring that database operations are efficient and scalable. Here are some steps you can take to optimize SQL performance: Indexing: Proper indexing can significantly improve query performance. Identify columns frequently…

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