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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...

Skills needed for NoSQL Data engineer

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The following Skills are needed to become successful NoSQL data engineer. NoSQL Skills Skills You Need to Become NoSQL Developer 3 + years of practical experience with distributed data analysis systems using parallel processes such as Hadoop. Experience working with batch processing/ real-time systems using various open source technologies like Solr, Hadoop, NoSQL, Spark, Hive, etc. Knowledgeable about data modeling, data access, and data storage techniques Experience in Linux or similar system is preferred Experience on MySQL, NoSQL and storage software is a plus Check here... NoSQL jobs skills and experience required Related:   NoSQL Interview Questions