SDK means System Development Kit. It helps in the programming of mobile applications bringing a group of tools in one place. Python SDK enables the user to write codes that manage OCI resources. The primary purpose of the Python SDK is to provide an easy Python environment to use. Furthermore, it enables the developers to authenticate users to retrieve data and upload files.
SDK contains certain instructions that allow developers to create systems and develop applications. SDK tools include different things such as libraries, code samples, documentation, process, etc. These things used by the developer to integrate them into applications.
Python SDK is loaded with lots of new stuff. To start using an SDK, it is required to get a developer token to install the program. This SDK platform is responsible for providing the interactive DevelopmentClient that helps to test the SDK. This client will raise developers’ tokens if required and logs HTTP requests and responses to any debugging. Furthermore, we will look into the uses of Python SDK.
Here, first, we need to install the Python SDK. It uses Python API also to install Python set up. The Python SDK requires Python 2.7. Later we need to set public and private API keys.
Now we will get into the resources. Here, the delivery API can return certain types of resources like types of content, entries, assets, etc. All these come under the resources module of an SDK. To fetch all the resources, we need to use Clientfetch() method. Such as;
>>> client.fetch(Asset).first() # <Asset(sys.id=jake)> >>>
Fetch method returns the request array which enables one to request only one item by invoking the initial method.
The SDK has built-in models feature that helps to define custom class models rather than using the Entry-type model.
Here is the example of a custom class model using a Cat in its content type.
class Cat(Entry): __content_type__ = 'cat' name = Field(Text) likes = Field(List) color = Field(Text) best_friend = Field(Link, field_id='bestFriend') birthday = Field(Date) lives = Field(Number) image = Field(Link)
After configuring the client we will have to resolve the resource link using the resource link method. This method attempts to fetch the resource which is linked from the API by placing a network request. There may be two types of resolutions, automatic link resolution, and manual link resolution.
In this way, we can check the use of the Python SDK.
There are two different types of SDK. Such as; Platform SDK and Extension SDK. Platform SDK is a mandatory component for developing any application for a platform. For instance, the Windows 8.1 SDK requires the development of 8. X store application.
Extension SDK is useful for extending a platform but these are not an important component like Platform SDK.
There are many other SDKs such as Windows 7 SDK, MAC OS X SDK, etc.
In the Python SDK framework, OCI refers to Oracle Cloud Infrastructure. Python SDK enables the developer to write codes that help to manage the OCI. Oracle Cloud Infrastructure includes many different tools such as REST API, OCI CLI, and SDK.
To use the OCI Python SDK structure we to connect the OCI using some keys and OCID information to the cloud infrastructure. Here we need to create a cloud tenancy user (or IAM user). Then we need to get different keys for the machine and upload them to the cloud.
For this, we need to create an OCI SDK account.
Later, we need to create a configuration file to connect the Oracle Cloud Infrastructure. The next thing we do is the installation of OCI Python SDK by downloading it. We will import it to establish and we will test the connections to OCI. Here we have to use the following command.
pip install oci
Later, we will use it to validate the configuration file. In case any error occurs then we have to check the bash profile that the path is correct or not.
#setting config path, default path is ~/.oci/config (make sure not on VPN)
config = oci.config.from_file()
#validating configuration file, making sure the connection is established
After configuration, we can use the OCI Python SDK for retrieving the user data. Thus, in this way, we can use the OCI python SDK. We have created a file for configuring the SDK, then downloaded the OCI python SDK file and validated the same. The later connection establishes we used to retrieve the user data from it.
The core services that Python SDK OCI infrastructure provide are Database, DNS, email delivery, file uploads and storage, load balancing and so on. It helps to improve more cloud services along with web development.
Oracle recommends running the SDK using a virtual environment with virtual env. It helps to distribute the various dependencies of the SDK and avoids any potential conflicts there. These may be with other Python packages.
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SDKs are also available for different programming languages such as Java, Ruby, etc. It has many latest versions that are upcoming. It will help very much to the user in every aspect.
Python package includes many things such as libraries and packages. These are Pillow, Matplotlib, Numpy, Open cv, Keras, Theano, Pandas, etc. These python libraries and packages have a different working system. It attracts many users and developers to create new libraries for ML also. These libraries help in developing and deploying many things that use Python such as web applications. Furthermore, It can be said that Python is the most favourite platform for developers to create web applications and so on.
It is versatile to use and fast to develop any application. Moreover, It contains various libraries to use. It has great speed limitations. Besides, It has great prototypes. It enables to write codes for OCI resources. Python SDK for the Apache beam provides a powerful API to build batch and to stream various data processing pipelines. It also offers traditional synchronous API. It includes readymade data structures and takes care of all the HTTP issues of the user.
The main and important purpose of an SDK is to provide an easy to use Python service in a python environment. It helps the developers to authorize the users and retrieve user data and upload data and files.
Furthermore, Python uses different kinds of built-in libraries such as Tensorflow, Requests, PyTorch, CubicWeb, Robot framework, Open CV, etc. These libraries are in-built and most helpful for every infrastructure.
Thus, the above writing explains what is Python SDK OCI and its different aspects. It gives an overview of the usage of Python SDK with OCI. Python is the best programming language for web development. SDK is a collection of software that is useful to develop different applications for a specific device or OS.
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