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Showing posts with the label Access Modifiers

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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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3 Exclusive Access Modifiers in Python

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Here are three access modifiers in Python - Public, Protect, and Private. Access modifiers control the access to a variable/or method.  You may have a question that does python supports access modifiers? The answer is yes. In general, all the variables/or methods are public. Which means accessible to other classes. The private and protect access modifiers will have some rules. And the notation for protect and private are different. The single underscore is for protected and the double underscore is for private. Here is how to find Python list frequent items. Differences between Public, Protect and Private Public access modifier Public variables are accessible outside the class. So in the output, the variables are displayed. class My_employee:     def __init__(self, my_name, my_age):         self.my_name = my_name  #public         self.my_age = my_age   # public my_emp = My_employee('Raj',34) print(my_emp.my_name) prin...
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