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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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11 Top PIG Interview Questions

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Here are the top PIG interview questions. These are useful for your project and interviews. 1). What is PIG? PIG is a platform for analyzing large data sets that consist of a high-level language for expressing data analysis programs, coupled with infrastructure for evaluating these programs.  PIG’s infrastructure layer consists of a compiler that produces a sequence of MapReduce Programs. 2). What is the difference between logical and physical plans? Pig undergoes some steps when a Pig Latin Script is converted into MapReduce jobs. After performing the basic parsing and semantic checking, it produces a logical plan.  The logical plan describes the logical operators that have to be executed by Pig during execution. After this, Pig produces a physical plan. The physical plan describes the physical operators that are needed to execute the script. 3). Does ‘ILLUSTRATE’ run MR job? No, illustrate will not pull any MR, it will pull the internal data. On the console, illustr...
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