Running an HTTP & GRPC python server concurrently on AWS elastic

I will be using the async python web framework AIOHTTP. In case that you may not have heard or used it before I would advice you to jump quickly to the official documentation here and briefly skim through the introduction.

All the code used in this tutorial is also on github.

HTTP

Lets start off with the HTTP server! I am going to use python@3.7 and pipenv as my package manager and virtual environment but feel free to use any other tool that you might be familiar with. Run the following to start a new python3 environment:

pipenv --python 3.7

Before writing any code, we need to first install our dependencies. For the time being, aiohttp will suffice to get the HTTP server up and running. so lets install it:

pipenv install aiohttp

Now we can start off with our Application class.

## application.py

from aiohttp import web

class Application(web.Application):
    def __init__(self):
        super().__init__()
    def run(self):
        return web.run_app(self, port=8000)
application = Application()
if __name__ == '__main__':
    application.run()

On a quick note, you have to call the new application instance ‘application’ since elastic beanstalk expects that variable name by default when booting the app, direct quote of the docstring from on the official doc:

“EB looks for an ‘application’ callable by default.”

At this point you have a fully runnable web server:

python application.py

>>> ======== Running on http://0.0.0.0:8000 ========

Nothing really exciting since we don’t have any routes, so lets make a ‘/helloworld’ page.

#elastic-beanstalk #aws #python #aiohttp #grpc

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Running an HTTP & GRPC python server concurrently on AWS elastic
Ray  Patel

Ray Patel

1619518440

top 30 Python Tips and Tricks for Beginners

Welcome to my Blog , In this article, you are going to learn the top 10 python tips and tricks.

1) swap two numbers.

2) Reversing a string in Python.

3) Create a single string from all the elements in list.

4) Chaining Of Comparison Operators.

5) Print The File Path Of Imported Modules.

6) Return Multiple Values From Functions.

7) Find The Most Frequent Value In A List.

8) Check The Memory Usage Of An Object.

#python #python hacks tricks #python learning tips #python programming tricks #python tips #python tips and tricks #python tips and tricks advanced #python tips and tricks for beginners #python tips tricks and techniques #python tutorial #tips and tricks in python #tips to learn python #top 30 python tips and tricks for beginners

Ray  Patel

Ray Patel

1625843760

Python Packages in SQL Server – Get Started with SQL Server Machine Learning Services

Introduction

When installing Machine Learning Services in SQL Server by default few Python Packages are installed. In this article, we will have a look on how to get those installed python package information.

Python Packages

When we choose Python as Machine Learning Service during installation, the following packages are installed in SQL Server,

  • revoscalepy – This Microsoft Python package is used for remote compute contexts, streaming, parallel execution of rx functions for data import and transformation, modeling, visualization, and analysis.
  • microsoftml – This is another Microsoft Python package which adds machine learning algorithms in Python.
  • Anaconda 4.2 – Anaconda is an opensource Python package

#machine learning #sql server #executing python in sql server #machine learning using python #machine learning with sql server #ml in sql server using python #python in sql server ml #python packages #python packages for machine learning services #sql server machine learning services

Myriam  Rogahn

Myriam Rogahn

1598582280

Running an HTTP & GRPC python server concurrently on AWS Elastic

I will be using the async python web framework AIOHTTP. In case that you may not have heard or used it before I would advice you to jump quickly to the official documentation here and briefly skim through the introduction.

All the code used in this tutorial is also on github.

HTTP

Lets start off with the HTTP server! I am going to use python@3.7 and pipenv as my package manager and virtual environment but feel free to use any other tool that you might be familiar with. Run the following to start a new python3 environment:

pipenv --python 3.7

Before writing any code, we need to first install our dependencies. For the time being, aiohttp will suffice to get the HTTP server up and running. so lets install it:

pipenv install aiohttp

Now we can start off with our Application class.

## application.py

from aiohttp import web

class Application(web.Application):
    def __init__(self):
        super().__init__()
    def run(self):
        return web.run_app(self, port=8000)
application = Application()
if __name__ == '__main__':
    application.run()

On a quick note, you have to call the new application instance ‘application’ since elastic beanstalk expects that variable name by default when booting the app, direct quote of the docstring from on the official doc:

“EB looks for an ‘application’ callable by default.”

At this point you have a fully runnable web server:

python application.py

======== Running on http://0.0.0.0:8000 ========

#elastic-beanstalk #aws #python #aiohttp #grpc

Running an HTTP & GRPC python server concurrently on AWS elastic

I will be using the async python web framework AIOHTTP. In case that you may not have heard or used it before I would advice you to jump quickly to the official documentation here and briefly skim through the introduction.

All the code used in this tutorial is also on github.

HTTP

Lets start off with the HTTP server! I am going to use python@3.7 and pipenv as my package manager and virtual environment but feel free to use any other tool that you might be familiar with. Run the following to start a new python3 environment:

pipenv --python 3.7

Before writing any code, we need to first install our dependencies. For the time being, aiohttp will suffice to get the HTTP server up and running. so lets install it:

pipenv install aiohttp

Now we can start off with our Application class.

## application.py

from aiohttp import web

class Application(web.Application):
    def __init__(self):
        super().__init__()
    def run(self):
        return web.run_app(self, port=8000)
application = Application()
if __name__ == '__main__':
    application.run()

On a quick note, you have to call the new application instance ‘application’ since elastic beanstalk expects that variable name by default when booting the app, direct quote of the docstring from on the official doc:

“EB looks for an ‘application’ callable by default.”

At this point you have a fully runnable web server:

python application.py

>>> ======== Running on http://0.0.0.0:8000 ========

Nothing really exciting since we don’t have any routes, so lets make a ‘/helloworld’ page.

#elastic-beanstalk #aws #python #aiohttp #grpc

Ray  Patel

Ray Patel

1619510796

Lambda, Map, Filter functions in python

Welcome to my Blog, In this article, we will learn python lambda function, Map function, and filter function.

Lambda function in python: Lambda is a one line anonymous function and lambda takes any number of arguments but can only have one expression and python lambda syntax is

Syntax: x = lambda arguments : expression

Now i will show you some python lambda function examples:

#python #anonymous function python #filter function in python #lambda #lambda python 3 #map python #python filter #python filter lambda #python lambda #python lambda examples #python map