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Showing posts with the label Defects in Software development

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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...

2 Root Causes for Defects in Software Development

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Miscommunication Miscommunication is a common factor, which can be defined as inaccurate statements or information missing that is required for the action to be done successfully. This miscommunication ends up in the documentation or verbal communication that occurs. Instead of spending time to make sure everything is accurate, statements are made that are untrue or unclear. When this occurs at the beginning of the change process the bad information continues down through the process. Decisions and design are made based on it.  At some point it gets realized that the information is bad and a defect is created. In the common project process that could be classified as linear, most defects are not found until in the later phase of development and unit testing has started. Process Defects This would be similar to a defect a machine makes in manufacturing. Even though the input is accurate, the process itself causes a defect to occur.  The original process was prone to defect...