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SQL Query: 3 Methods for Calculating Cumulative SUM

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SQL provides various constructs for calculating cumulative sums, offering flexibility and efficiency in data analysis. In this article, we explore three distinct SQL queries that facilitate the computation of cumulative sums. Each query leverages different SQL constructs to achieve the desired outcome, catering to diverse analytical needs and preferences. Using Window Functions (e.g., PostgreSQL, SQL Server, Oracle) SELECT id, value, SUM(value) OVER (ORDER BY id) AS cumulative_sum  FROM your_table; This query uses the SUM() window function with the OVER clause to calculate the cumulative sum of the value column ordered by the id column. Using Subqueries (e.g., MySQL, SQLite): SELECT t1.id, t1.value, SUM(t2.value) AS cumulative_sum FROM your_table t1 JOIN your_table t2 ON t1.id >= t2.id GROUP BY t1.id, t1.value ORDER BY t1.id; This query uses a self-join to calculate the cumulative sum. It joins the table with itself, matching rows where the id in the first table is greater than or

Python Supports These 5 Native Data types

Python supports five native data types. The Data types are such that a Programmer can use to write the logic and get the output. Many beginners may not aware of native data types. So I am adding a short note on that here. Native means as is Python supported data types.


Python Five Key Native Data Types
Python Five Key Native Data Types

Python Native Data Types

In Python, you can find five types of native data types. Here is a quick list for you. Those are Number, String, List, Tuple, Set, and Dictionary.


1. Number

For all the numeric values,  you can use this data type.


2. String

It handles all Characters, Special-symbols, and Alphanumeric values.


3. List

It is something like sequential data. A program can do Sort, Merge, etc. on this data.


4. Tuple

Data is a little different from the List.


5. Set

This kind of Data-type helps you to do set operations. Those are like Intersection, Difference, etc.


6. Dictionary

Here, the Dictionary something like a group of List kinds of data. But, each value has a key associated with it.


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