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Showing posts with the label Array Types

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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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How to Create an Array and Its Types in Python

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Python supports various array types. Here is a list of arrays and how to create examples for your reference.  What is an array? A  Python array  is a class that mimics the array type of other languages and offers efficiency in storage, exchanging that for flexibility. How to create an array Here is the syntax to create an array: data = array('f', [12.8, 5.4, 8.0, 8.0, 9.21, 3.14]) It creates an array of 6 floating point numbers; the type is indicated by the 'f' as the first parameter to the constructor. This concept is unlike the Python norm of types being dynamic and malleable. An array is an array of one kind of thing, and an array can only hold a restricted set of types. Types of arrays Here is a list of arrays: 'b' A C++ char type 'B' A C++ unsigned char type 'i': A C++ int type 'l': A C++ long type 'f': A C++ float type 'd': A C++ double type What is an array type? Arrays are class objects and are provided in the buil...
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