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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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Kafka Flowchart Useful for Dummies

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How Kafka Works Here're the prime points on Kafka stream-processing. In Mainframe, the data you receive/process in two methods (Batch and online). In Kafka, it receives data and sends it to consumers. Here're the details with Architecture, Logs, and applications that use Kafka. The streaming data is different (YouTube Live). When the data comes into Queue the data will then be processed. In the batch process, you need to wait till you get the Batch completes. In the case of stream processing, it is on the fly. 1. Architecture 2. Process Kafka is a publish/subscribe system , but it would be more precise to say that Kafka acts as a message broker. A broker is an intermediary that brings together two parties that don’t necessarily know each other for a mutually beneficial exchange or deal. Kafka stores messages in topics and retrieves messages from topics. There’s no direct connection between the producers and the consumers of the messages. Additionally, Kafka doesn’t keep any st...
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