As you can see, this ‘legacy’ approach consists of too much hassle to be dealt with just to implement our domain logic i

Any software project, be it on Python or any programming language, goes through tons of changes and versions during its development phases. Version controlling can help you keep track of even the tiniest of changes with complete traceability. This becomes increasingly important while working with collaborating with other developers on a project.

Once you have covered the fundamentals of Artificial Intelligence and Machine Learning, the next step in your journey should be Deep Learning. Deep Learning is a part of Machine Learning, and the learning processes and techniques are much similar to those of our human brains. We have supervised, semi-supervised, and unsupervised learning.

There are a few top version control tools such as Git, Mercurial, Apache Subversion, and many more, but Git is the most favorite of them all. While learning version control, you will come across some terms like “commit”, “push”, “pull”, and “fork”, which are essentially what makes version control possible. Keep in mind that this will be one of those tools you’ll use the most after your IDE or code editor, so we recommend paying close attention while learning this skill.

ORMs or Object-Relational Mappers are essentially a class of libraries that facilitates the transfer of data from a relational database to Python objects. Developers can use these libraries to directly make changes to the data stored in their databases by using Python code instead of SQL. SQLAlchemy, Peewee ORM, Django ORM, PonyORM, and Tortoise ORM are just some of the many ORM libraries available for Python.

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et started is by picking a genre and sticking with it. It helps to limit your options. A lot of writers want to “write about everything,” and that’s fine. But placing limitations on your writing is a good thing. Creativity, ironically, excels within constraints.

And Voila , your lambda function is done. Now you have to attach a AWS Gateway to your lambda function as the trigger. Chose the API Gateway as the trigger and chose to create a new Gateway using the following settings.

Here POSTMAN will act as our presentation layer and generate a HTTP request which will be received by the API Gateway and according to our request URL, it will forward the request to the relevant Lambda Function. The lambda function will process the data and provide the gateway with the necessary response.

Here I will a simple 3-tier application using AWS Lambda and AWS Gateway services which are provided by Amazon. Below is the high-level architecture of our ‘lambda-demo’ application.

The benefits provided by ORM libraries can often save a significant chunk of your development time while offering you the flexibility to switch to another relational database when required.

This is where the term serverless comes to the rescue. A serverless application is an application in which the developer doesn’t have to manage any servers! Literally! It is a cloud computing approach in which a third party vendor manages the servers and manages the scaling of the servers dynamically without us having to do anything. There are no operating systems to manage, no effort needs to be given to scale our application and most importantly there is no fixed cost. You pay as you go.

As the first part, we need to create a piece of code to be put into our lambda function. I will use Java to create this project but you can use any language which is supported by lambda.

By going to the actions menu option in the Function Code menu, you can select upload jar and upload the created jar file. Give your package name, class name, and the function name in the Runtime settings menu, in my case its

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After that go to your AWS console and search lambda and go to the create function option. Here you will be asked a function name and an execution environment. Give the desired name and Java 8 as the execution environment. Then you will be taken to the lambda management console.

AWS Lambda is the serverless solution provided by Amazon and is the most widely used serverless technology in the world. Here, a developer can provide a piece of code from a language he desires and create a ‘Lambda Function’. That lambda function can be invoked using a set of triggers we define ourselves. So an external entity can send ‘requests’ to that lambda function and it will run our code which is stored inside the lambda function. If many ‘requests’ come to that certain function AWS will automatically fire up more instances of that same function so that that it can handle the incoming requests parallelly.