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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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India is gearing for awesome Data Analytics Jobs

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There is no surprise in India, all companies started building Data analytics team and infrastructure. With a lot of Indian companies building their data analytics team, the requirement in the domestic market for this skill will increase over the next couple of years.

The requirement for Data Analytics

  •  There will be an increased demand for data analytics professionals.
  • Industry experts believe that currently big data and analytics is one of the top three skills in demand in India. 
  • Organizations are looking at their internal set of data to understand the business better – as a result, there will be an explosion of various job opportunities in this area.
Top three segments where huge demand for data analytics engineers are Data Science, Statistics, Technical specialists with multiple skills.

Top Demand Roles in Data Analytics

  • Some of the requirements are for tech personnel, statistician, econometrician, data scientist, analytical consultant, functional consultant, etc. 
  • However, there is a short supply of data scientists, according to experts, followed by a functional consultant. 
  • Industries in Utilities and Manufacturing will be the next set to invest in Big Data.

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