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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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Cloud Computing: Horizontal Vs. Vertical Scaling

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The purpose of cloud computing is resource utilization. You can scale up the resources in two ways - vertical and horizontal. Adding resources, you can do either horizontally and vertically . The advantages and drawbacks you can find in simple words. Scaling 1. Horizontal Scaling Advantages You can increase workloads in small steps. The upgrade-cost is far less. Scale the system as much as needed. Drawbacks Dependency on software applications is more for Data distribution and parallel processing. On top of that, fewer software applications exist in the market. You May Also Like:  9 Top Services AWS Provided 2. Vertical Scaling Advantages Since it is a single machine, it is easy to manage. On the fly, you can increase workloads. Drawbacks It is expensive. You need a huge investment. The machine should be powerful to take more workloads - future use. Below is the List of Resources that You can do both Horizontal and Vertical Scaling Platform Scaling Network Scaling Container Scaling...
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