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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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Skills Need Every Employee By 2020

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With all the  predictions about the future of work , we are constantly painting a picture of how the future workplace will look. But, what most of us should focus on is what the workforce will  need   to look like – meaning, what skills employees need to have to ensure continued success into the next decade? The  Top 10 Online Colleges website  has the answer. They’ve done the research and compiled a list of skills that all employees will need by 2020 (which is only six years away!) and the drivers of the new skill set. First, we must understand what is driving change and molding the future of work. The six key drivers of change include: Extreme longevity:  People are living longer. The rise of smart machines and systems:  Tech will augment and extend our own capabilities. Computational world:  There will be an increase in sensors and processing that will make the world a programmable system. New media ecology:  There will...
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