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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...

2 Top Real-time AI New Approaches for Learners

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Artificial Intelligence (AI) applications in real-time have two approaches. Those are Applied and Generalized. This post tells you the differences between these two. Artificial Intelligence (AI). Artificial Intelligence is the broader concept of machines being able to carry out tasks in a way that we would consider smart. How the AI started.  A machine, which has reproducing capabilities, basic arithmetic, and memory are called logical-machines. As enter into a new era, a new thought process created now called AI (Artificial Intelligence) AI Approaches Artificial intelligence has two approaches - Applied and Generalized.  Applied Artificial Intelligence.   The Applied AI is, you can find in systems designed to trade the Stocks or maneuver an autonomous vehicle would fall into this category.  Generalized Artificial Intelligence.   Systems or devices that can, in theory, handle any task – are less common, but this is where some of the most exciting adva...