On your file system, create a folder for this tutorial, such as hello_flask. Using a virtual environment avoids installing Flask into a global Python environment and gives you exact control over the libraries used in an application. In this section, you will create a virtual environment in which Flask is installed. If the Python interpreter's folder isn't included, open Windows Settings, search for "environment", select Edit environment variables for your account, then edit the Path variable to include that folder.Ĭreate a project environment for the Flask tutorial You can check the location by running path at the command prompt. On Windows, make sure the location of your Python interpreter is included in your PATH environment variable. (All operating systems) A download from Anaconda (for data science purposes).(macOS) An installation through Homebrew on macOS using brew install python3.(Linux) The built-in Python 3 installation works well, but to install other Python packages you must run sudo apt install python3-pip in the terminal.(All operating systems) A download from typically use the Download button that appears first on the page.Install a version of Python 3 (for which this tutorial is written). To successfully complete this Flask tutorial, you must do the following (which are the same steps as in the general Python tutorial): If you have any problems, you can search for answers or ask a question on the Python extension Discussions Q&A. The completed code project for this Flask tutorial can be found on GitHub: python-sample-vscode-flask-tutorial. Along the way, you experience a number of features of Visual Studio Code including using the terminal, the editor, the debugger, code snippets, and more. In this Flask tutorial, you create a simple Flask app with three pages that use a common base template. For convenience, we typically speak of these defaults as part of Flask. For example, Flask doesn't provide a page template engine, but installing Flask includes the Jinja templating engine by default. The extensions integrate seamlessly with Flask so that they appear as if they were part of Flask itself. Such features are instead provided by special Python packages called Flask extensions. Configure IntelliSense for cross-compilingĮdit Flask Tutorial in Visual Studio Codeįlask is a lightweight Python framework for web applications that provides the basics for URL routing and page rendering.įlask is called a "micro" framework because it doesn't directly provide features like form validation, database abstraction, authentication, and so on.You can choose the method that best suits your needs and workflow. Running the script from the terminal/cmd.In this blog post, we have discussed three different ways to stop Python from closing immediately after execution: Now, even after your script finishes executing, the terminal/cmd window will stay open, allowing you to see the output. Run the script by typing python script_name.py and pressing Enter (replace script_name.py with the name of your script). Navigate to the folder containing your Python script using the cd command.This way, when the script finishes executing, the terminal/cmd window will stay open, and you can see the output. Instead of double-clicking the Python script file to run it, you can execute it from the terminal (Linux/macOS) or cmd (Windows). The above script will keep the terminal/cmd window open for 10 seconds after printing “Hello, World!”, and then close automatically. Then, add time.sleep(seconds) function at the end of your script, where seconds is the number of seconds you want the window to stay open. This function pauses the execution of the script for a specified amount of time in seconds.įirst, you need to import the time module by adding import time at the beginning of your script. Using time.sleep()Īnother way to keep the Python script window open is by using the time.sleep() function. Now, when you run your script, the terminal/cmd window will stay open, displaying the message “Press Enter to close…” until you press the Enter key. Here is an example of how you can use the input() function: print("Hello, World!") This function will wait for the user to press the Enter key before closing the terminal/cmd window. The simplest way to prevent your Python script from closing is by adding the input() function at the end of your script. In this blog post, we will explore different ways to prevent Python from closing immediately after execution, allowing you to see the output without any hassle. This can be frustrating, especially when you want to see the result of your hard work. If you are a Python beginner or even an experienced developer, you might have faced a situation where your Python script or program finishes executing and the terminal/cmd window closes immediately, not giving you enough time to see the output.
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