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Step-by-Step Guide to Reading Different Files in Python

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 In the world of data science, automation, and general programming, working with files is unavoidable. Whether you’re dealing with CSV reports, JSON APIs, Excel sheets, or text logs, Python provides rich and easy-to-use libraries for reading different file formats. In this guide, we’ll explore how to read different files in Python , with code examples and best practices. 1. Reading Text Files ( .txt ) Text files are the simplest form of files. Python’s built-in open() function handles them effortlessly. Example: # Open and read a text file with open ( "sample.txt" , "r" ) as file: content = file.read() print (content) Explanation: "r" mode means read . with open() automatically closes the file when done. Best Practice: Always use with to handle files to avoid memory leaks. 2. Reading CSV Files ( .csv ) CSV files are widely used for storing tabular data. Python has a built-in csv module and a powerful pandas library. Using cs...
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SQL Tester Ideas DATE, Numeric, CHAR, NULL

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I have shared top SQL Date functions along with Numeric, CHAR and NULL functions. List of Built-in Functions DATE-TIME functions Numeric functions Char functions Null-related functions 1. DATE/TIME functions SELECT p_code, launch_dt, CURRENT_DATE FROM product; CURRENT_DATE returns the CURRENT date. SELECT p_code, To_char(launch_dt, 'DD MONTH YYYY') reformatted_dt FROM product; TO_CHAR FUNCTION returns date IN char format. 2. Numeric functions SELECT p_code, price, (price - 20), Abs(price - 20.00) FROM product; ABS - FUNCTION returns the absolute value SELECT p_code, price, Round (price, 1) FROM product; ROUND FUNCTION - round TO 1 digit. SELECT p_code, price, Sign(price - 15) FROM product; SIGN FUNCTION - it returns the sign SELECT p_code, price, Trunc(price, 1) FROM product; TRUNC FUNCTION - truncates TO a certain number OF decimal places. 3. CHAR functions SELE...
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