While the subject of using Python to send emails may seem like it's been done to death, there are just so many different ways to do it and so many issues that can come up. I thought it would be helpful to write up a tutorial on how to send emails with Gmail as the provider using Python.
Data scientists have not been lacking in terms of tools for developing their algorithms but when it comes to deploying their solutions, especially in a hybrid environment, the available tools have not been flexible enough. Such tools allow them to work interactively with samples of the data and build the analytics algorithm gradually.
Having the right tools to allow the governance and deployment of these scripts within a workflow that meets business needs is a major part of making a success out of the data science effort. Microsoft Azure offers several services that allow flexibility of deployment and integration of data analytics, and allow the algorithms developed by data scientist to be made available in a number of ways based on the specific usage scenario.
Using Logic Apps makes it easy to ensure the container is only created on demand and then turned off so that the cost is only incurred when necessary. Architecture This scenario requires the Python script to run on demand based on a trigger event e.
The script retrieves data from an Azure SQL database, operates on the data and then writes the results back to the database as shown in the diagram below.
A Docker container image hosts the Python script and is registered with the Azure Container Registry. The Logic Apps instance controls the workflow and is instantiated by the trigger signal, creating a container group with a single container based on the image stored in the registry.
The container runs the Python script and on completion it is destroyed by the Logic App. Since it is necessary for the script to interact with the SQL database, we need to make sure that the Dockerfile used to build the container image contains the necessary reference to the pyodbc library.
The second step involves registering and uploading the container image with the Azure Container Registry, making sure to tag the image with information such as the image version.
You can use the Azure CLI to achieve this as described here. The third step is about building the workflow using Azure Logic Apps. With the recent addition of Container Instance Group connectorsLogic Apps can control the creation of a Container Instances inside container groups, monitor the container state to detect success of execution and then delete the container and the associated container group.
By ensuring that the container is only active for the amount of time necessary to complete the task, charges are minimised. There are many trigger types that can be used to start the Logic App including webhooks, http notifications and timed events, allowing the workflow to integrate the Python script execution with external events.
In the Logic App instance shown in the diagram below the trigger is set as a timed event. When the Logic App receives the timer event it creates a Container Group and a Container inside the group based on the image retrieved from the registry.
A loop is then started that monitors the state of the Container Group until it has succeeded indicating that the Python script has completed. The last step is to delete the Container Group.Introduction: In the previous tutorial, I showed how you could use Python to send a request using the Destiny API, to the Bungie servers and how to decrypt the JSON reply.
The Alexa Skills Kit SDK for Python simplifies the development of the back-end cloud service for your Alexa skill. A part of the Alexa Skills Kit, the SDK reduces the amount of code you need to write to process Alexa requests and responses and to handle other common skill tasks. Writing a Python Program.
To demonstrate creating and executing a Python program, we’ll make a simple “hello world” program.
To begin, open the Nano text editor and create a new file named schwenkreis.com by entering this at the command prompt: Awesome post about “Python Program on the Raspberry Pi”. But i don’t have much. Welcome to Python!
|What Languages Are Used for Building AI?||If comparing to other OOP languages, Python is relatively easy to learn. It has a bunch of image intensive libraries:|
This tutorial will show you how to start writing programs. In Python 2.x, print is a statement rather than a function.
As such, it can be used without parentheses, in which case it prints everything until the end of the line and accepts a standalone comma after the final item on.
I want to write an Android app in Python, something along the lines of converting schwenkreis.com file to an APK. How can I write an Android app in Python? [duplicate] Ask Question. up vote 1 down vote favorite.
add a comment |. To use python for web development you need, at the minimum, a webserver that understands CGI and the python interpreter. A barebones configuration might be to use Apache to dispatch requests to the python interpreter that will return the output schwenkreis.com files that you create.