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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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Excel: 10 Key Topics You Need to Learn

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The below-listed topics help you get a solid footing in Excel Analytics. Just practice these 10 topics step by step and by completing all, you will be an expert in Excel.

Topics you need to learn in Excel
10 Top Excel Topics

  1. Tables in Excel 
  2. Grabbing data from external sources 
  3. Cleaning data with functions 
  4. Working with Pivot tables 
  5. Writing Formulae for Pivot tables 
  6. Pivot Charts 
  7. How to use database functions 
  8. How to use statistics 
  9. Inferential Statistics 
  10. Descriptive statistics

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Step-by-Step Guide to Reading Different Files in Python

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