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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

How to Find Max and Min Quickly in Python List

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Here's logic to find Max and Min values in a List. Without using built-in Max() and Min () functions you can find Max and Min values in a List. For that matter, you need to write a user-defined function. This post is all about how to write it and run. Finding Max and Min in List You can achieve this by writing a user-defined function. Here's useful logic and steps to write it precisely. IN THIS PAGE Write a Function Execute Function Get the result Write Function You can write an user-defined function to get MAX and MIN values. In this function, I am using the max(), min() built-in functions. The other variables you can use as you wish. Below is the my actual logic. Sample Code def findmaxmin (data): ax = max (data) by = min (data) return (x,y) data = ( 109 , 98 , 88 , 7 ) (maximum, minimum) = findmaxmin (data) print ( "Maximum Marks = " , maximum) print ( "Minimum Marks = " , minimum) Created a Script Using vim editor Here as the first step, I

6 Exclusive List and Tuple Differences in Python

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Here're the quick differences between Tuple and List in Python. These are helpful for interviews and your project. Tuple and List differences List Comma-separated elements inside a square bracket [] make a list. The elements are indexed, which starts from '0' These you need to enclose in a single quote and separate by a comma. It can contain another list, which is called a NESTED list. Use type() function to get the type of data it is. The list is mutable (you can change the data). The objects (elements) can be of different data types.  Here're  examples on the List. Tuple The elements comma-separated and enclosed in parenthesis ()  The elements are indexed, which starts from '0' It can have heterogeneous data (integer, float, string, list, etc.) It is immutable. So you can't change the elements. Use the type() function to get the type of data it is.  Here're  examples of Tuple. List Example #Illustration of creating a list  new_list=[1, 2, 3, 4]  print(

Top Data Science Tools Complete List

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Top data science tools and platform providers across the world. Useful information for data science and data analytics developers. 8 Top Data Analytics Tools List. Data Science is a combination of multiple skills. AI and Machine Learning are part of data science. You can create AI and Machine Learning products with data. Related Posts Top Skills You Need for Data Science Career Data Science Sample Project an Example