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Quickstart: Create your first Python web app using Visual Studio

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In this 5-10 minute introduction to Visual Studio as a Python IDE, you create a simple Python web application based on the Flask framework. You create the project through discrete steps that help you learn about Visual Studio's basic features.

If you haven't already installed Visual Studio, go to the Visual Studio downloads page to install it for free. In the installer, make sure to select the Python development workload.

If you haven't already installed Visual Studio, go to the Visual Studio downloads page to install it for free. In the Visual Studio Installer, select the Python development workload, and in the installation details, select Python web support .

Screenshot of the Visual Studio Installer with the Python development workload and Python web support selected.

Create the project

The following steps create an empty project that serves as a container for the application:

Open Visual Studio 2019.

On the start screen, select Create a new project .

In the Create a new project dialog box, enter "Python web" in the search field at the top, choose Web Project in the middle list, then select Next :

Create a new project screen with Python Web Project selected

In the Configure your new project dialog that follows, enter "HelloPython" for Project name , specify a location, and select Create . (The Solution name is automatically set to match the Project name .)

Configure your new project dialog

The new project opens in Solution Explorer in the right pane. The project is empty at this point because it contains no other files.

Sreenshot showing the newly created empty project in the Solution Explorer.

Open Visual Studio 2022.

In the Create a new project dialog box, enter "Python web" in the search field at the top. Choose Web Project from the list, and then select Next :

Screenshot showing the Create a new project screen with Python Web Project selected.

If you don't see the Python web project templates, select Tools > Get Tools and Features to run the Visual Studio Installer. In the Installer, select the Python development workload, and under Installation details , select Python web support . Then select Modify .

In the Configure your new project dialog box, enter "HelloPython" for Project name , specify a location, and then select Create . The Solution name automatically updates to match the Project name .

Screenshot showing the Configure your new project dialog.

Question: What's the advantage of creating a project in Visual Studio for a Python application?

Answer : Python applications are typically defined by using only folders and files, but this simple structure can become burdensome as applications grow larger. Applications can involve auto-generated files, JavaScript for web applications, and other components. A Visual Studio project helps manage this complexity.

The project, a .pyproj file, identifies all the source and content files associated with your project. The .pyproj file contains build information for each file, maintains information to integrate with source-control systems, and helps organize your application into logical components.

Question: What is the "solution" shown in Solution Explorer?

Answer : A Visual Studio solution is a container that helps you manage one or more related projects as a group. The solution stores configuration settings that aren't specific to a project. Projects in a solution can also reference one another. For example, running a Python app project can automatically build a second project, like a C++ extension that the Python app uses.

Install the Flask library

Web apps in Python almost always use one of the many available Python libraries to handle low-level details like routing web requests and shaping responses. Visual Studio provides many templates for web apps. You use one of these templates later in this Quickstart.

Use the following steps to install the Flask library into the default global environment that Visual Studio uses for this project.

Expand the Python Environments node in the project to see the default environment for the project.

Solution explorer showing the default environment

Right-click the environment and select Manage Python Packages... . This command opens the Python Environments window on the Packages (PyPI) tab.

Enter "flask" in the search field. If Flask appears below the search box, you can skip this step. Otherwise select Run command: pip install flask . Accept any prompts for administrator privileges and observe the Output window in Visual Studio for progress. (A prompt for elevation happens when the packages folder for the global environment is located within a protected area like C:\Program Files .)

Installing the Flask library using pip install

Right-click the environment and select Manage Python Packages . This command opens the Python Environments window on the Packages (PyPI) tab.

Enter "flask" in the search field. If Flask appears below the search box, you can skip this step. Otherwise, select Run command: pip install flask .

Screenshot that shows installing the Flask library using pip install.

An elevation prompt appears if the global environment packages folder is in a protected area like C:\Program Files . Accept any prompts for administrator privileges. Observe the Visual Studio Output window for progress.

Once installed, the library appears in the environment in Solution Explorer , which means you can use it in Python code.

Flask library installed and showing in Solution Explorer

Instead of installing libraries in the global environment, developers typically create a "virtual environment" in which to install libraries for a specific project. Visual Studio templates typically offer this option, as discussed in Quickstart - Create a Python project using a template .

Question: Where do I learn more about other available Python packages?

Answer : Visit the Python Package Index .

Add a code file

You're now ready to add a bit of Python code to implement a minimal web app.

Right-click the project in Solution Explorer and select Add > New Item .

In the dialog that appears, select Empty Python File , name it app.py , and select Add . Visual Studio automatically opens the file in an editor window.

Copy the following code and paste it into app.py :

In the dialog that appears, select empty . For Name , enter app.py , and then select Add . Visual Studio automatically opens the file in an editor window.

You might have noticed that the Add > New Item dialog box displays many other types of files you can add to a Python project, including a Python class, a Python package, a Python unit test, web.config files, and more. In general, these item templates are a great way to quickly create files with useful boilerplate code.

Question: Where can I learn more about Flask?

Answer : Refer to the Flask documentation, starting with the Flask Quickstart .

Run the application

In Solution Explorer , right-click app.py and then select Set as Startup File from the dropdown menu. This command identifies the code file to launch in Python when running the app.

Setting the startup file for a project in Solution Explorer

Right-click the project in Solution Explorer and select Properties . Select the Debug tab from the Properties menu, and set the Port Number property to 4449 . This setting ensures that Visual Studio launches a browser with localhost:4449 to match the app.run arguments in the code.

Select Debug > Start Without Debugging or press Ctrl + F5 , which saves changes to files and runs the app.

A command window appears with the message Running in https://localhost:4449 . A browser window opens to localhost:4449 and displays the message Hello, Python! The GET request also appears in the command window with a status of 200 .

If a browser doesn't open automatically, start the browser of your choice and navigate to localhost:4449 .

If you see only the Python interactive shell in the command window, or if that window flashes on the screen briefly, make sure app.py is set as the startup file.

Navigate to localhost:4449/hello to test that the decorator for the /hello resource also works. Again, the GET request appears in the command window with a status of 200 . Try some other URLs as well to see that they show 404 status codes in the command window.

Close the command window to stop the app, and then close the browser window.

Question: What's the difference between the Start Without Debugging and Start Debugging commands?

Answer : You use Start Debugging to run the app in the context of the Visual Studio debugger . With the debugger, you can set breakpoints, examine variables, and step through your code line by line. Apps might run slower in the debugger because of the hooks that make debugging possible.

Start Without Debugging runs the app directly, as if you ran it from the command line, with no debugging context. Start Without Debugging also automatically launches a browser, and navigates to the URL specified in the project properties' Debug tab.

Congratulations on running your first Python app from Visual Studio. You've learned a little about using Visual Studio as a Python IDE!

Because the steps you followed in this Quickstart are fairly generic, you've probably guessed that they can and should be automated. Such automation is the role of Visual Studio project templates. Go through Quickstart - Create a Python project using a template to create a web app similar to the one in this article, but with fewer steps.

To continue with a fuller tutorial on Python in Visual Studio, including using the interactive window, debugging, data visualization, and working with Git, follow Tutorial: Get started with Python in Visual Studio .

To explore more that Visual Studio has to offer, select the links below.

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How to create a website using Python (an introduction)

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Why create a website with python, relatively easier to learn, a vast collection of libraries, faster development time, excellent data visualization capabilities, budget-friendly, secure and scalable, what other websites were made using python, how to code a website in python using web frameworks, which framework should you use to build your website using python, a step-by-step guide to create a website using python, step 1: get a handle on html and css, step 2: master the basics of javascript, step 3: master the document object model, step 4: backend development with python, step 5: choose your framework and database, final words.

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4.3. Composing Web Pages in Python ¶

4.3.1. dynamically created static local pages from python ¶.

For the rest of this chapter, the example files will come from the www directory under the main examples directory you unzipped. I will refer to example file there as “example www files”.

As the overview indicated, dynamic web applications typically involve getting input from a web page form, processing the input in a program on the server, and displaying output to a web page. Introducing all these new ideas at once could be a lot to absorb, so this section uses familiar keyboard input into a regular Python program and then, like in the final version, processes the input and produces the final web page output.

Follow this sequence of steps:

You should see a familiar web page appear in your default browser (possibly not the one you have been using). This is obviously not a very necessary program, since you can select this page directly in your browser! Still, one step at a time: it illustrates several useful points. The program is copied below. Read it:

This program encapsulates two basic operations into the last two functions that will be used over and over . The first, strToFile , has nothing new, it just puts specified text in a file with a specified name. The second, browseLocal , does more. It takes specified text (presumably a web page), puts it in a file, and directly displays the file in your default web browser. It uses the open function from the webbrowser module to start the new page in your web browser.

The open function here requires the name of a file or URL. Since the page is automatically generated by the program for one-time immediate viewing, it automatically uses the same throwaway filename, tempBrowseLocal.html specified as the default in the keyword parameter. If you really want another specific, name you could pass it as a parameter.

In this particular program the text that goes in the file is just copied from the literal string named contents in the program.

This is no advance over just opening the file in the browser directly! Still, it is a start towards the aim of creating web content dynamically.

An early example in this tutorial displayed the fixed Hello World!' to the screen. This was later modified in hello_you4.py to incorporate user input using the string format method of Dictionaries and String Formatting ,

Similarly, I can turn the web page contents into a format string, and insert user data. Load and run the www example program helloWeb2.py .

The simple changes from helloWeb1.py are marked at the beginning of the file and shown below. I modified the web page text to contain ‘Hello, {person}!’ in place of ‘Hello, World!’, making the string into a format string, which I renamed to the more appropriate pageTemplate . The changed initial portion with the literal string and and the main program then becomes

Now the line

incorporaties the person’s name into the contents for the web page before saving it to a file and displaying it.

In this case, I stored the literal format string inside the Python program, but consider a different approach:

Load and run the www example program helloWeb3.py . It behaves exactly like helloWeb2.py, but is slightly different internally - it does not directly contain the web page template string. Instead the web page template string is read from the file helloTemplate.html .

Below is the beginning of helloWeb3.py, showing the only new functions. The first, fileToStr , will be a standard function used in the future. It is the inverse of strToFile .

The main program obtains the input. In this simple example, the input is used directly, with little further processing. It is inserted into the web page, using the file helloTemplate.html as a format string.

Although helloTemplate.html is not intended to be viewed by the user (being a template), you should open it in a browser or web editor (Kompozer or ...) to look at it. It is legal to create a web page in a web page editor with expressions in braces embedded in it! If you look in the source view in Kompozer or in a web source editor, you will see something similar to the literal string in helloWeb2.py, except the lines are broken up differently. (This makes no difference in the formatted result, since in html, all white space is considered the same.)

Back in the Normal mode in Kompozer, or in source mode for any html editor, add an extra line of text right after the line “Hello, {person}!”. Then save the file again (under the same name). Run the program helloWeb3.py again, and see that you have been able to change the appearance of the output without changing the Python program itself. That is the aim of using the template html page, allowing the web output formatting to be managed mostly independently from the Python program.

A more complicated but much more common situation is where the input data is processed and transformed into results somehow, and these results , often along with some of the original input, are embedded in the output web page that is produced.

As a simple example, load and run the www example program additionWeb.py , which uses the template file additionTemplate.html .

The aim in the end of this chapter is to have user input come from a form on the web rather than the keyboard on a local machine, but in either case the input is still transformed into results and all embedded in a web page. To make parts easily reusable, I obtain the input in a distinct place from where the input is processed . In keeping with the later situation with web forms, all input is of string type (using keyboard input for now ).

Look at the program. You will see only a few new lines! Because of the modular design, most of the program is composed of recent standard functions reused.

The only new code is at the beginning and is shown here:

The input is obtained (via input for now), and it is processed into a web page string, and as a separate step it is displayed in a local web page.

There are a few things to note:

When you write your own code, you might modify additionWeb.py , or you can start from a stripped down skeleton in the example www folder, skeletonForWeb.py , with comments about where to insert your special code.

We will examine the bottom part of the following diagram later. The top part outlines the flow of data from string input to web page in your browser for a regular Python program like what we have been describing, with the processing outlined in the middle line. The parts in the middle will be common to the later client/server program, that manges input and output with the bottom line, that we will discuss later.

Again, this last section was somewhat artificial. You are not in the end likely to find such programs practical as end products. However such programs are reasonable to write and test and they include almost all the code you will need for a more practical (but harder to debug) CGI program, coming next....

4.3.1.1. Quotient Web Exercise ¶

* Save additionWeb.py or skeletonForWeb.py as quotientWeb.py . Modify it to display the results of a division problem in a web page. As in the exercises in Chapter 1, display a full sentence labeling the initial data and both the integer quotient and the remainder. You can take your calculations from Quotient String Return Exercise . You should only need to make Python changes to the processInput and main functions. You will also need the HTML for the output page displayed. Make a web page template file called quotientTemplate.html and read it into your program. Turn in both quotientWeb.py and quotientTemplate.html .

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Python: How to create simple web pages without a huge framework? [closed]

I would like to know if there is a way to create web pages without a huge framework in python.

I think of something like PHP/Apache, which comes just as a language and not with to much overhead (but I don't like PHP...). In PHP there is no ORM, no template engine, etc. But it is very very easy to just print a Hello World to the browser.

I know about Django and really like it, but it is a bit too big for simple web portals (5-10 pages).

I really like something simple, without installing too much.

Dave Halter's user avatar

8 Answers 8

Have you looked up Flask ?

It's a much more minimalistic framework, and very easy to set up and get started.

pcalcao's user avatar

I've used Flask (and bottle.py) in the past, but these days I actually prefer Pyramid, from the Pylons folks .

Pyramid is capable of being a large, full-fledged framework, is designed for flexibility, and has no shortage of plugins and extensions available adding additional functionality -- but it also is capable of small, single-file projects; see this tutorial for an example .

Going with Pyramid will give you room to grow if your needs expand over time, while still retaining the ability to start small.

Charles Duffy's user avatar

Good old CGI is the quickest way to get you started. On most configurations, you just need to drop a python script in 'cgi-bin' and make it executable, no need to install anything. Google for "cgi python", there are lots of tutorials, e.g. this one looks pretty decent.

georg's user avatar

I'm not sure what's wrong with django flatpages for your purposes.

Another alternative would be to replace the django template system with something more powerful, like jinja, so you can write your tag soup and do processing there, with minimal logic in the view.

In practice (given that you already know django), that is likely to be easier than using a microframework (which requires more of the programmer, in exchange for being completely unopinionated about anything).

Marcin's user avatar

mod_python perhaps?

MK.'s user avatar

I would recommend CherryPy

devsnd's user avatar

Sure, you can go really lean with the CGI or wsgiref route. However, you get what you pay for, and I prefer Flask or WerkZeug for all the pain they prevent.

From wsgiref python docs :

Shane Holloway's user avatar

Python works well using CGI.

that's the simplest thing you can do: it only needs apache and a working python environment, and is the closest to a standard php setup.

remember that, when using CGI, your python script is responsible for outputting the necessary HTTP headers ( sys.stdout.write('Content-Type: text/html\n\n') ), but there is a CGI module which is part of the python standard library which greatly helps dealing with the raw stuffs (post/get arguments parsing, header retrieval, header generation).

Adrien Plisson's user avatar

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Create Basic Webpage with Pyscript

In this article, we will cover how we can create a basic webpage with Pyscript

The Pyscript is a python framework/library that allows us to write python code inside HTML directly with the help[ of pyscript tag. Pyscript is a new project and is currently under development, but it has gained a lot of attention recently. It can make a page generate dynamically with the help of python. We will see the basic web page created with the pyscript library in this article.

Creating a Template

We’ll create a basic template in HTML in which we will further add the pyscript framework as a link and a script to the pyscript CDN.  You can create an index.html in a folder in your desired location. 

A simple HTML template can be created as per your preferences, we’ll leave it empty body right now to start afresh instance of the pyscript code.

Embedding Python inside HTML

We first need the script files that help us in allowing the runtime of python from the pyscript CDN.  So, we will have to add a few link tags and the script tag that will bring in the Python Pyodide runtime.

<link rel=”stylesheet” href=”https://pyscript.net/alpha/pyscript.css” /> <script defer src=”https://pyscript.net/alpha/pyscript.js”></script>

The first link for the stylesheet will allow us to format the output generated from the python code. The next link which is a script tag will bring in the javascript source file that will work with the browser for interacting with the python runtime. Finally, we can use the pyscript tags for embedding the python code.

The python code can be embedded by adding inside the  <py-script> tags.  We can use the  <py-script> tags to write python code. Normal python code can be embedded inside the <py-script> tags. The tags are not self-closing and hence like other HTML tags it needs a closing tag as </py-script>

The python code inside the py-script tags should be indented, as you write the python code. The formatting of the indentation is not strictly from the start of the line, though it needs to be consistent throughout while being inside the tags.

Here, we have used a simple python code for printing a variable name. The print function is parsed inside the pyscript that will in turn process the python and display the result as a native HTML tag. Though output from pyscript tags is native HTML, the generation is done with the help of Pyodide and WASM which generates the native HTML from the pyscript tags.

The webpage takes a few seconds to load in its entirety of the webpage. That’s because the python code has to be rendered and converted to a native HTML.

Creating and Displaying List in Pyscript using loop

We can generate a list of elements in the HTML using a pure python list. We can simply use python syntax to print the elements of a list. The output will be generated as a distinct line which is the default behavior of the print statement in pyscript.

We can see the elements of the list are printed on the webpage using simple python code in the embedded pyscript tag. 

Creating and Displaying a dictionary using a conditional statement

To create a dictionary in python, we will be creating a simple dictionary and will display the key-value pairs one by one using a simple for loop. 

Here, we have created a string and will further create a frequency map of each letter in the string. To create a frequency map of letters in the string, we will initialize an empty dictionary,  we will iterate over the string, and check if the character in the string is present as a key in a dictionary or not, if it is present we will increment the value of the key as the character in the string, else the key is initialized to one.

So, we can see the dictionary has the key values as the character of the strings and the frequency of that character in the string.

Use the HTTP server to render the pyscript page

We can even use the HTTP server to render the pyscript page. We can do that using the http.server module to render the HTML page.

Note – You need to be in the same directory as your index.html file else you need to specify the directory for rendering the HTML file.

The d flag is provided to locate the file in the directory without actually changing the directory in the terminal to run the HTTP server. After running the server, you need to locate the 127.0.0.1:8000 or localhost:8000 for viewing your HTML file.

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