Showing posts with the label Python Projects

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SQL Query: 3 Methods for Calculating Cumulative SUM

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.value, SUM(t2.value) AS cumulative_sum FROM your_table t1 JOIN your_table t2 ON >= GROUP BY, t1.value ORDER BY; 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

10 Exclusive Python Projects for Interviews

Here are ten Python projects along with code and possible solutions for your practice. 01. Palindrome Checker: Description: Write a function that checks if a given string is a palindrome (reads the same backward as forward). def is_palindrome(s):     s = s.lower().replace(" ", "")     return s == s[::-1] # Test the function print(is_palindrome("radar"))  # Output: True print(is_palindrome("hello"))  # Output: False 02. Word Frequency Counter: Description: Create a program that takes a text file as input and counts the frequency of each word in the file. def word_frequency(file_path):     with open(file_path, 'r') as file:         text =         words = text.split()         word_count = {}         for word in words:             word_count[word] = word_count.get(word, 0) + 1     return word_count # Test the function file_path = 'sample.txt' word_count = word_frequency(file_path) print(word_count) 03. Guess the Nu