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Python modules interview questions

1. What is a Python module?        Answer: A Python module is a file containing Python code, which can define functions, classes, and variables. It allows you to organize code into separate files for better code organization and reusability. 2. How can you import a module in Python?    Answer: You can import a module in Python using the `import` statement. For example:        python    import mymodule     3. What is the difference between `import module` and `from module import something`?    Answer:     - `import module` imports the entire module, and you must use the module's name to access its contents (e.g., `module.function()`).    - `from module import something` imports a specific item (function, class, variable) from the module, and you can use it directly without the module prefix (e.g., `function()`). 4. What is the purpose of the `if __name__ == "__main__":` statement in P...

json format and python format looks similar

 Yes, JSON and Python dictionary formats can look quite similar, which can be confusing at times because they share some common syntax elements. However, there are key differences between the two: 1. **String Quotes:**    - JSON requires double quotes around keys and string values, e.g., `"name": "sonoo"`.    - Python dictionaries can use either single quotes (`'`) or double quotes (`"`) for keys and string values, e.g., `"name": "sonoo"` or `'name': 'sonoo'`. 2. **Boolean Values:**    - JSON uses `true` and `false` (without quotes) for boolean values.    - Python uses `True` and `False` (with capitalization) for boolean values. 3. **Null Value:**    - JSON uses `null` for representing a null or None value.    - Python uses `None` for representing a null value. 4. **Comments:**    - JSON does not support comments.    - Python allows comments in code using the `#` symbol. Here's a side-by-side comparison...
 JSON and YAML are two different data serialization formats, and they share many similarities, especially when representing structured data like dictionaries and lists. Both use key-value pairs, and the basic data structures in both formats can be quite similar. In the examples I provided: JSON: {       "101":  {            "name": "Alice",           "age": 25,            "grade": "A"         },       "102": {       "name": "Bob",            "age": 22,              "grade": "B"       },       "103": {            "name": "Charlie",           "age": 24,            "grade": "A"  ...

Terraform Basics

✅ Provider: A provider is a plugin for Terraform that defines and manages resources for a specific cloud or infrastructure platform. Examples of providers include AWS, Azure, Google Cloud, and many others. You configure providers in your Terraform code to interact with the desired infrastructure platform. ✅ Resource: A resource is a specific infrastructure component that you want to create and manage using Terraform. Resources can include virtual machines, databases, storage buckets, network components, and more. Each resource has a type and configuration parameters that you define in your Terraform code. ✅ Module: A module is a reusable and encapsulated unit of Terraform code. Modules allow you to package infrastructure configurations, making it easier to maintain, share, and reuse them across different parts of your infrastructure. Modules can be your own creations or come from the Terraform Registry, which hosts community-contributed modules. ✅ Configuration File: Terraform uses con...