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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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How to Work on Re-skill Legacy to Recent

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How to work on your reskill plan to grow your career from any level. Just you need to learn and be ready with proficiency. Someone will absorb you.



Skills You Need To Grow in Your Career



How to work on Re-skill Legacy to Recent



The popular IT skills you need for the digital age are — ML(Machine Learning), AR (Augmented reality), VR (Virtual reality), AI (Artificial intelligence), and IoT. 


 Skills Rank
 Machine Learning  01
 IoT                             03
 Augmented Reality 04
 Artificial Intelligence 02


That's machine learning, augmented reality, virtual reality, artificial intelligence, and the Internet of Things.


How a COBOL Developer Changed His Career


Ramanujan who has been at TCS for 26 years has himself re-skilled several times — from COBOL to client-server to ERP to cloud, before moving into more stable managerial roles. But the reskilling he's witnessing now is like none he's seen before.

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