``` # Python script to manage AWS resources using Boto3 import boto3 def create_ec2_instance(instance_type, image_id, key_name, security_group_ids): ec2 = boto3.resource('ec2') instance = ec2.create_instances(
This method takes care of creating new instances in Python.Note: The .__new__() special method is often called a class constructor in Python. However, its job is actually to create new objects from the class blueprint, so you can more accurately call it an instance creator or object ...
ILoggingContext) @_oldStyle class Factory: """ This is a factory which produces protocols. By default, buildProtocol will create a protocol of the class given in self.protocol. """ # put a subclass of Protocol here: protocol = None numPorts = 0 noisy = True @classmethod def for...
Themock.create_autospecmethod creates a functionally equivalent instance to the provided class. What this means, practically speaking, is that when the returned instance is interacted with, it will raise exceptions if used in illegal ways. More specifically, if a method is called with the wrong ...
If multiple instances exist when a resize happens, key-sharing is disabled for all future instances of the same class: CPython can't tell if your instances are using the same set of attributes anymore, and decides to bail out on attempting to share their keys. A small tip, if you aim ...
There are two different ways that you can use decorators on classes. The first one is very close to what you’ve already done with functions: you can decorate the methods of a class. This was one of the motivations for introducing decorators back in the day....
Create an array. Parameters --- data : Sequence of objectsThe scalars inside `data` should be instances of thescalar type for `dtype`. It's expected that `data`represents a 1-dimensional array of data.When `data` is an Index or Series, the underlying arraywill be extracted from `data`...
Use Azure Machine Learning to create your production-ready ML project in a cloud-based Python Jupyter Notebook using Azure Machine Learning Python SDK v2.
o.create_resource('test_alias_res1','file', file_obj='1') o.create_resource('test_alias.py','py', file_obj=myfunc) o.create_function('test_alias_func', class_type='test_alias.Example', resources=['test_alias.py','test_alias_res1']) table = o.create_table('test_table',...
Use Azure Machine Learning to create your production-ready ML project in a cloud-based Python Jupyter Notebook using Azure Machine Learning Python SDK v2.