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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...

10 Top Blockchain Advantages for Finance Projects

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In the business world, the transactions are — orders, payments, account tracking and much more. Often, each participant has his or her own ledger — and, thus, a version of the truth that may differ from other participants. Top Blockchain Features   You can avoid fraud... These multiple ledgers can be a recipe for error, fraud, and inefficiency. But because members on a blockchain share a common view of the truth, it’s now possible to see all details of a transaction end-to-end, reducing those vulnerabilities . Ordinary ledger Vs Shared Ledger Each participant has his own, separate ledger — increasing the possibility of human error or fraud. Reliance on intermediaries for validation creates inefficiencies. Can become a paper-laden process, resulting in frequent delays and potential losses for all stakeholders. How to Avoid the Complexity Single, shared, tamper-evident ledger — once recorded, transactions cannot be altered. All parties must give consensus before a new transa...