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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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SQL Vs NOSQL real differences to read today

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SQL and NoSQL both or two different languages that will be used on different databases. In resolving bigdata analytics NoSQL is most popular. Where as SQL is popular in relational databases.

SQL Vs NOSQL Top Differences

sql vs nosql

SQL

  • SQL is structured query language 
  • It was first commercial language used in RDBMS 
  • SQL language is divided into multiple sub elements

NoSQL

  • Data is not in one machine or even one network. 
  • Data can be any type public data and private data 
  • Huge volume of data so you cannot put it in one place. 
  • It is uncoordinated in time as well as space. 
  • It is not always nice, structured data that SQL was meant to handle.

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