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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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Top Valuable Sources to Learn Predictive Analytics After Your Degree

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The word predictive analytics is to increase competitive advantage and at the same time to suggest the best value products to end customers.

Data analytics
Data analytics

Why you need to go for predictive analytics

The reasons are

  • Growing data
  • Cheaper computers and servers
  • Easy to use software
  • Tough economic conditions

The predictive analytics helps in the following areas:

  • Detecting fraud
  • Improve marketing campaigns
  • Reduce risk
  • Improving operations
Growing data analytics creating many job opportunities.

Where You Need to Learn

  1. Do PG or post graduation in data analytics
  2. Attend Class Room Coachings

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