Skip to main content

Privacy Policy

Privacy Policy

Introduction

Welcome to PnxPython's Privacy Policy. Your privacy is important to us, and we are committed to protecting your personal information. This Privacy Policy outlines how we collect, use, and safeguard your data when you visit our website and use our services.

Information We Collect

We only collect informations like: Specific page views, Your email address.

Note that your email address is only collected when you contact us. We do not keep record of your email address except only when we respond to your inquiry.

How We Use Your Information

Providing Services

We use the information we collect to provide and improve our services, including delivering our course content, responding to your inquiries, and facilitating community interaction.

Analytics

We use analytics tools to analyze website traffic and usage patterns. This helps us understand how visitors interact with our site and make informed decisions about future improvements and developments.

Changes to This Privacy Policy

We reserve the right to update or change this Privacy Policy at any time. Any changes will be effective immediately upon posting the revised Privacy Policy on this page. We encourage you to review this Privacy Policy periodically for any updates or changes.

Contact Us

If you have any questions or concerns about this Privacy Policy or our data practices, please contact us

Thank you for trusting PnxPython with your personal information. Your privacy is important to us, and we are committed to protecting it.

Last updated: 2024 May 25

Popular posts from this blog

Introduction to OOPs in Python

  Learning Sections          show Introduction to Object-Oriented Programming (OOP) Object-Oriented Programming (OOP) is a programming paradigm that organizes software design around objects rather than actions and data rather than logic. It revolves around the concept of "objects", which are instances of classes. These objects encapsulate data, in the form of attributes or properties, and behaviors, in the form of methods or functions. OOP promotes modularity, reusability, and extensibility in software development. Key Concepts of OOP: Class: A class is a blueprint or template for creating objects. It defines the attributes (data) and methods (functions) that will characterize any object instantiated from that class. Object: An object is an instance of a class. It is a concrete realization of the class blueprint, containing actual values instead of placeholders for attributes. Encapsulation: Encapsulation is ...

Classes and Objects in Python

  Learning Sections          show Classes and Objects in Python In Python, a class is a blueprint for creating objects. An object is an instance of a class. Classes allow you to logically group data and functions in a way that is easy to manage and reuse. 1. Defining a Class To define a class in Python, you use the class keyword followed by the class name and a colon. Inside the class, you can define attributes and methods. Example: # Define a class class Person : # Class attribute species = 'Human' # Class method def greet ( self ): return 'Hello, I am a person.' # Create an object of the class person1 = Person () # Access class attribute print ( person1 . species ) # Output: Human # Call class method print ( person1 . greet ()) # Output: Hello, I am a person. 2. Creating Objects To create an object of a class, you simply call the class name followed by paren...

Learn Python

  Learning Sections Introduction to Python Comment, escape sequence and print statement in Python Variables and Data Types in Python Typecasting in Python User input in Python String slicing and operations on string in Python String methods in Python If else conditional statements in Python Match case statement in Python For loops in Python While loops in Python Break and continue statement in Python Functions in Python Function Arguments in Python introduction to lists in Python List methods in Python Tuples in Python Operations on tuple in Python f strings in Python Docstrings in Python Recursion in Python Sets in Python Set methods in Python Dictionaries in Python for Loop with else in Python Exception Handling in Python Finally keyword in Python Raising custom errors in Python Short hand if else statements Enumerate Function in Python Virtual Environment in Python How import works in Python if __nam...