What is Python SDK OCI?

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.

How to use python SDK?

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()# >>>

The 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.

Types of 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 important components like Platform SDK.

There are many other SDKs such as Windows 7 SDK, MAC OS X SDK, etc. 

OCI Python SDK reference

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. 

Account Creation:

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.

#oci packages

import oci

#setting config path, the default path is ~/.oci/config (make sure not on VPN)

config = oci.config.from_file()

#validating configuration file, making sure the connection is established

oci.config.validate_config(config)

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 a 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. 

Get deep knowledge on Python with the help of Python Online Course from various online sources that help to update skills.

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.

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Python packages list

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 favorite platform for developers to create web applications and so on.  

Advantages of Python SDK

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 batches and to stream various data processing pipelines. It also offers a 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. 

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Building a user-friendly Python SDK

The development and the future of any application depend fully on the user experience only. If the UX sucks, then applications, even built with great design and implementations, won’t work. There are many marketing ideas of various products that influence end-users like dashboards and observation products. The end-users like analysts, software professionals, business personalities, often face them. 

In this regard, an Analyst may use GUI (Graphical User Interface) but a data scientist uses API or and SDK. This could be a challenge to build a great SDK that too Python SDK. 

Let us see how can we built a user-friendly Python SDK using few important things. 

A Python SDK that seamlessly combines with the model pipelines often in the form of Jupyter Notebooks. This is considered to be the best one. Moreover, it requires many functionalities, best practices, and techniques to develop an SDK. 

To make it successful, one should be clear with buildings function, and class imports and paths. It needs a good focus on building SDK. Moreover, there are four main modules that include the package for building Python SDK. Such as Client, Common, Core, and Explanation of the specifics within the SDK development.

Also, here, it needs to make the code logically easier for users so that they can find import paths. There we can create shortcuts or icons for them for easy visibility.

Later, we can provide thorough documentation of the Python SDK development process and installation guide also. Code documentation plays a vital role in this regard that helps to use SDK. There are different styles involve in it to make it attractive. All makes it easier for Python SDK to develop.

The SDK conventions include PEP style guidelines, semantic versioning, sphinx combination, etc.

Conclusion

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. 

Moreover, it needs to set a very clear design function for the app usage so that users may not find it difficult. Further, it requires a clear explanation of several exceptions and bug handling while using the app. Later, there involves testing of the app for its working and performance that makes it a successful Python SDK. Hence, designing and application of Python SDK through OCI makes it to use in the Python environment easily. Including its various libraries and functions that help in this regard very much. The built-in libraries make the application much user friendly to use. And also, the end-users can get a good user-experience of the SDK.

To get deep knowledge about the Python SDK one can opt for Python Online Training from various online sources. I hope this learning will help to enhance the knowledge and skill to develop a good career.