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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...

SAP HANA Top new Applications

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The SAP HANA analytics from German software vendor SAP AG is betting heavily on a new generation of analytic computing it calls HANA.  In this post you will know the new features that are added in HANA. To maintain its position as the world's largest business-application vendor. So, learning HANA is really good and make sure these HANA course contents you need to have in your training. SAP HANA Applications HANA, which is already installed at more than 200 customer locations, processes data in real-time by storing it in live memory rather than in a separate data warehouse, enabling customers to make business decisions faster. >> Liquor distributor Charmer Sunbelt Group finished installing a HANA system , and it says it has helped managers react to logistical problems as they occur. Getting shipments out is essential for Charmer because customers can refuse them if they are late. >> According to Chief Information Officer Paul Fipps, HANA h...