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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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5 Key Services on AWS Cloud computing

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Amazon web services offers 5 services on its cloud computing. Top AWS Services Store Files Store Files:  AWS provides highly scalable, reliable, secure, fast storage for your digital files.  Host a Website: AWS provides many ways to host your website in order to suit the needs of large-scale enterprises,startups, and individuals. Database Run a Database: Adds or removes virtual servers to handle peaks and lulls in traffic. Requires CloudWatch.Distributes traffic among multiple virtual servers. Deployment Deploy an Application:   AWS offers application management services that help you build, deploy, and scale applications.You can use an application management service to leverage other AWS services without having to manage each of them separately and manually. Net Work Create a Network: You can create virtual private clouds on AWS. These can be isolated from the Internet, or you can add a public-facing subnet that makes part of your network acces...
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