-->
Build Python Desktop Applications with PyQt. This course contains 3 projects that teach you how to make your own apps with Designer. PyQT works on all major operating systems: Windows, Mac OS X and Linux. You need prior knowledge of Python to complete this course. Visually build stunning Desktop, Cloud and Mobile database Apps on Windows, macOS or Linux with no programming knowledge required. Lianja is an easy-to-use high productivity NoCode™ App Builder for end users and business domain knowledge workers. BYOA (Build Your Own Apps). Build database Forms, Reports, Charts and much more without coding.
Azure Pipelines
In this step-by-step tutorial, you'll learn how to build a mobile application with Python and the Kivy GUI framework. You'll discover how to develop an application that can run on your desktop as well as your phone. Then, you'll package your app for iOS, Android, Windows, and macOS. Generate a Python Package and Build a Python Application. Supported platform: Windows ®, Linux ®, Mac. This example shows how to use the Library Compiler app to create a Python ® package that uses a MATLAB ® function. You can then pass the generated package to the developer who is responsible for integrating it into an application. This 'Build' stage downloads a Python Docker image and runs it as a Docker container, which in turn compiles your simple Python application into byte code. Using your favorite text editor or IDE, create and save new text file with the name Jenkinsfile at the root of your local simple-python-pyinstaller-app.
Use a pipeline to automatically build and test your Python apps or scripts. After those steps are done, you can then deploy or publish your project.
Nov 28, 2015 Based on a Python file called Sandwich.py, we’ll create an application called Sandwich.app. Create a custom directory and create a virtualenv: # Create a custom directory$ mkdir SandwichApp$ cdSandwichApp# Use virtualenv to create an isolated environment$ virtualenv venv$.
If you want an end-to-end walkthrough, see Use CI/CD to deploy a Python web app to Azure App Service on Linux.
To create and activate an Anaconda environment and install Anaconda packages with
conda
, see Run pipelines with Anaconda environments.Create your first pipeline
Are you new to Azure Pipelines? If so, then we recommend you try this section before moving on to other sections.
Get the code
Import this repo into your Git repo in Azure DevOps Server 2019:
Sign in to Azure Pipelines
Sign in to Azure Pipelines. After you sign in, your browser goes to
https://dev.azure.com/my-organization-name
and displays your Azure DevOps dashboard.Within your selected organization, create a project. If you don't have any projects in your organization, you see a Create a project to get started screen. Otherwise, select the Create Project button in the upper-right corner of the dashboard.
Create the pipeline
- Sign in to your Azure DevOps organization and navigate to your project.
- Go to Pipelines, and then select New Pipeline.
- Walk through the steps of the wizard by first selecting GitHub as the location of your source code.
- You might be redirected to GitHub to sign in. If so, enter your GitHub credentials.
- When the list of repositories appears, select your repository.
- You might be redirected to GitHub to install the Azure Pipelines app. If so, select Approve and install.
When the Configure tab appears, select Python package. This will create a Python package to test on multiple Python versions.
- When your new pipeline appears, take a look at the YAML to see what it does. When you're ready, select Save and run.
- You're prompted to commit a new azure-pipelines.yml file to your repository. After you're happy with the message, select Save and run again.If you want to watch your pipeline in action, select the build job.You just created and ran a pipeline that we automatically created for you, because your code appeared to be a good match for the Python package template.You now have a working YAML pipeline (
azure-pipelines.yml
) in your repository that's ready for you to customize! - When you're ready to make changes to your pipeline, select it in the Pipelines page, and then Edit the
azure-pipelines.yml
file.
See the sections below to learn some of the more common ways to customize your pipeline.
YAML
- Add an
azure-pipelines.yml
file in your repository. Customize this snippet for your build.
- Create a pipeline (if you don't know how, see Create your first pipeline), and for the template select YAML.
- Set the Agent pool and YAML file path for your pipeline.
- Save the pipeline and queue a build. When the Build #nnnnnnnn.n has been queued message appears, select the number link to see your pipeline in action.
- When you're ready to make changes to your pipeline, Edit it.
- See the sections below to learn some of the more common ways to customize your pipeline.
Build environment
You don't have to set up anything for Azure Pipelines to build Python projects. Python is preinstalled on Microsoft-hosted build agents for Linux, macOS, or Windows. To see which Python versions are preinstalled, see Use a Microsoft-hosted agent.
Use a specific Python version
To use a specific version of Python in your pipeline, add the Use Python Version task to azure-pipelines.yml. This snippet sets the pipeline to use Python 3.6:
Use multiple Python versions
To run a pipeline with multiple Python versions, for example to test a package against those versions, define a
job
with a matrix
of Python versions. Then set the UsePythonVersion
task to reference the matrix
variable.You can add tasks to run using each Python version in the matrix.
Run Python scripts
To run Python scripts in your repository, use a
script
element and specify a filename. For example:You can also run inline Python scripts with the Python Script task:
To parameterize script execution, use the
PythonScript
task with arguments
values to pass arguments into the executing process. You can use sys.argv
or the more sophisticated argparse
library to parse the arguments.Install dependencies
You can use scripts to install specific PyPI packages with
pip
. For example, this YAML installs or upgrades pip
and the setuptools
and wheel
packages.Install requirements
After you update
pip
and friends, a typical next step is to install dependencies from requirements.txt:Run tests
You can use scripts to install and run various tests in your pipeline.
Run lint tests with flake8
To install or upgrade
flake8
and use it to run lint tests, use this YAML:Test with pytest and collect coverage metrics with pytest-cov
Use this YAML to install
pytest
and pytest-cov
, run tests, output test results in JUnit format, and output code coverage results in Cobertura XML format:Run tests with Tox
Azure Pipelines can run parallel Tox test jobs to split up the work. On a development computer, you have to run your test environments in series. This sample uses
tox -e py
to run whichever version of Python is active for the current job.Publish test results
Add the Publish Test Results task to publish JUnit or xUnit test results to the server:
Publish code coverage results
Add the Publish Code Coverage Results task to publish code coverage results to the server. You can see coverage metrics in the build summary, and download HTML reports for further analysis.
Package and deliver code
To authenticate with
twine
, use the Twine Authenticate task to store authentication credentials in the PYPIRC_PATH
environment variable.Then, add a custom script that uses
twine
to publish your packages.You can also use Azure Pipelines to build an image for your Python app and push it to a container registry.
Related extensions
- PyLint Checker (Darren Fuller)
- Python Test (Darren Fuller)
- Azure DevOps plugin for PyCharm (IntelliJ) (Microsoft)
- Python in Visual Studio Code (Microsoft)
In this quickstart, you deploy a Python web app to App Service on Linux, Azure's highly scalable, self-patching web hosting service. You use the local Azure command-line interface (CLI) on a Mac, Linux, or Windows computer. The web app you configure uses a free App Service tier, so you incur no costs in the course of this article.
If you prefer to deploy apps through an IDE, see Deploy Python apps to App Service from Visual Studio Code.
Prerequisites
- Azure subscription - create one for free
- Python 3.7 (Python 3.6 is also supported)
- Azure CLI 2.0.80 or higher. Run
az --version
to check your version.
Download the sample
In a terminal window, run the following command to clone the sample application to your local computer.
Then go into that folder:
The repository contains an application.py file, which tells App Service that the code contains a Flask app. For more information, see Container startup process and customizations.
Run the sample
In a terminal window, use the commands below (as appropriate for your operating system) to install the required dependencies and launch the built-in development server.
Open a web browser, and go to the sample app at
http://localhost:5000/
. The app displays the message Hello World!.In your terminal window, press Ctrl+C to exit the web server.
Sign in to Azure
The Azure CLI provides you with many convenient commands that you use from a local terminal to provision and manage Azure resources from the command line. You can use commands to complete the same tasks that you would through the Azure portal in a browser. You can also use CLI commands in scripts to automate management processes.
To run Azure commands in the Azure CLI, you must first sign in using the
az login
command. This command opens a browser to gather your credentials.Deploy the sample
The
az webapp up
command creates the web app on App Service and deploys your code.In the python-docs-hello-world folder that contains the sample code, run the following
az webapp up
command. Replace <app-name>
with a globally unique app name (valid characters are a-z
, 0-9
, and -
).The
--sku F1
argument creates the web app on the Free pricing tier. You can omit this argument to use a premium tier instead, which incurs an hourly cost.You can optionally include the argument
-l <location-name>
where <location_name>
is an Azure region such as centralus, eastasia, westeurope, koreasouth, brazilsouth, centralindia, and so on. You can retrieve a list of allowable regions for your Azure account by running the az account list-locations
command.The
az webapp up
command may take a few minutes to completely run. While running, it displays information similar to the following example, where <app-name>
will be the name you provided earlier:Note
The
az webapp up
command does the following actions:- Create a default resource group.
- Create a default app service plan.
- Create an app with the specified name.
- Zip deploy files from the current working directory to the app.
Browse to the app
Browse to the deployed application in your web browser at the URL
http://<app-name>.azurewebsites.net
.The Python sample code is running a Linux container in App Service using a built-in image.
Congratulations! You've deployed your Python app to App Service on Linux.
Redeploy updates
In your favorite code editor, open application.py and update the
hello
function as follows. This change adds a print
statement to generate logging output that you work with in the next section.Save your changes and exit the editor.
Redeploy the app using the
az webapp up
command again:This command uses values that are cached in the .azure/config file, including the app name, resource group, and App Service plan.
Once deployment has completed, switch back to the browser window open to
http://<app-name>.azurewebsites.net
and refresh the page, which should display the modified message:Tip
Visual Studio Code provides powerful extensions for Python and Azure App Service, which simplify the process of deploying Python web apps to App Service. For more information, see Deploy Python apps to App Service from Visual Studio Code.
Mac App Free
Stream logs
You can access the console logs generated from inside the app and the container in which it runs. Logs include any output generated using
print
statements.To stream logs, run the following command:
Refresh the app in the browser to generate console logs, which should include lines similar to the following text. If you don't see output immediately, try again in 30 seconds.
You can also inspect the log files from the browser at
https://<app-name>.scm.azurewebsites.net/api/logs/docker
.To stop log streaming at any time, type
Ctrl
+C
.Manage the Azure app
Go to the Azure portal to manage the app you created. Search for and select App Services.
Select the name of your Azure app.
You see your app's Overview page. Here, you can perform basic management tasks like browse, stop, start, restart, and delete.
The App Service menu provides different pages for configuring your app.
Clean up resources
Mac App Downloads
In the preceding steps, you created Azure resources in a resource group. The resource group has a name like 'appsvc_rg_Linux_CentralUS' depending on your location. If you use an App Service SKU other than the free F1 tier, these resources incur ongoing costs (see App Service pricing).
If you don't expect to need these resources in the future, delete the resource group by running the following command, replacing
<resource-group-name>
with the resource group shown in the output of the az webapp up
command, such as 'appsvc_rg_Linux_centralus'. The command may take a minute to complete.