What is Namespace in python? Namespaces are like secret hiding spots for your variables, functions, and the nitty-gritty in your code. 
They help keep your code organized and prevent any mix-ups in your program. Please don’t fret; we’ll make sure you understand the bits.
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Contents
Namespace in Python
Here are a few steps to know what is namespace in python is.
Step 1: Understanding the Global Namespace
The global namespace stores all variables, functions, and objects you define outside any process or class. You are making them available to use anywhere in your code.
Imagine you have a cookie recipe that you want to share with everyone. You can jot it down on paper and leave it on the kitchen counter. The kitchen counter is your global namespace, and the recipe is your object.
Using the global namespace, you can easily share objects between different parts of your code, making them available in multiple functions and classes. Remember that any changes made to an object in the global namespace will affect its value throughout your code.
Step 2: Understanding the Local Namespace
The local namespace is your secret hiding spot, and it has its collection of objects only available within its boundaries. In Python, each function and class has its local namespace. Defining a variable inside a function or style becomes part of that function’s or class’s local namespace.
Now, You want to share your secret cookie recipe with your best friend. You jotted it on paper and hid it in your bedroom drawer(Local namespace).
This is useful for keeping objects separate from the global namespace and defining things utilized within a specific function or class. This helps reduce the risk of any unintended side effects and aids in code maintenance.
Step 3: Understanding Namespace Hierarchy
Let’s see how steps 1&2 works together. While looking for an object in Python, it starts with the local namespace and then with the global namespace—I.e, namespace hierarchy.
You and your best friend are searching for the secret cookie recipe. You start by looking in your bedroom while your best friend looks in the kitchen. Call it a division of labor to avoid confusion.
The namespace hierarchy ensures that Python always finds the correct object, even when defined in a different namespace. Manage objects in your code without any conflicts.
Step 5: Understanding Scoping Rules
Scoping rules are the rules that govern the behavior of namespaces. Python has two types of scoping rules: local and global.
- Local scoping rules apply to variables defined inside a function or class and are only accessible within the boundaries of that function or style.
- Global scoping rules apply to variables defined outside of any function or class and are available anywhere in your code.
If one friend only knows your secret recipe and another knows a ton of recipes along with your secret. The first can only bake cookies using your formula, but the second can bake a variety. In this case, the first friend represents a variable with local scoping rules, and the other represents a variable with global scoping rules.
Step 6: Understanding the Import Statement
The import statement is like the key that opens the door to a module’s namespace. The import statement grants access to all the objects in a module for your code.
Imagine you have a friend who loves to bake cookies and has a vast collection of secret cookie recipes. You borrow the book for a variety of cookies. In this case, borrowing the book = import statement, the book is the module, and the recipes are the objects.
Step 7: Understanding the from-import Statement
The from-import Statement is like a shortcut that lets you directly access specific objects in a module’s namespace without using the module name as a prefix.
Now your friend has a vast collection of secret cookie recipes. You ask your friend for a Christmas cookie recipe and use it. Ask your friend if the from-import Statement and the recipe book are the modules and the formula is the object.
Step 8: Understanding the Statement
The as Statement is an alias for an object imported from a module. With the Statement, you can give a new name to a thing and use the new name instead of the original name.
If you can, ask your friend for a Leprechaun cookie recipe, and you name it LCookie. In this case, Lcookieis the Statement, the recipe book is the module, and the formula is the object.
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Conclusion
In conclusion, Namespaces in Python is a unique organizational tool for identifiers to help you code with ease. Happy coding! Thus this must be a knowledgeable article to know what is namespace in python is.
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