Before you start

Ensure that the following prerequisites are met:

Running Python Scripts ¶. Create and select your python environment (See the instructions here.) Create a new file via ctrl+N. Press ctrl+s to save the file and give it a name with.py extension. Write down your python code in the file. Press ctrl+alt+N to run the code via Code Runner. You should see your results in the integrated terminal 🛬. Python tests.py Lint the project with; flake8 coderunner -max-line-length = 88-ignore = F401 black -check -diff coderunner 📝 Changelog. See the CHANGELOG.md file for details.:fire: Powered By. Judge0 API - Free, robust and scalable open-source online code execution system. 👥 Bhupesh Varshney. Twitter: @bhupeshimself. Python Runner is a handy tool for learning Python or running Python script for daily tasks. Simply type Python code and press 'Command-R' to run it, that is all! You don't event need to save the file first!. Type and run Python code instantly. Display output as plain text or HTML.

• You are working with PyCharm Community or Professional

• You have installed Python itself. If you're using macOS or Linux, your computer already has Python installed. You can get Python from python.org.

To get started with PyCharm, let’s write a Python script.

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Create a Python project

1. If you’re on the Welcome screen, click New Project. If you’ve already got any project open, choose File | New Project from the main menu.

2. Although you can create projects of various types in PyCharm, in this tutorial let's create a simple Pure Python project. This template will create an empty project.

3. Choose the project location. Click button next to the Location field and specify the directory for your project.

4. Also, deselect the Create a main.py welcome script checkbox because you will create a new Python file for this tutorial.

5. Python best practice is to create a virtualenv for each project. In most cases, PyCharm create a new virtual environment automatically and you don't need to configure anything. Still, you can preview and modify the venv options. Expand the Python Interpreter: New Virtualenv Environment node and select a tool used to create a new virtual environment. Let's choose Virtualenv tool, and specify the location of the environment and the base Python interpreter used for the new virtual environment.

   When configuring the base interpreter, you need to specify the path to the Python executable. If PyCharm detects no Python on your machine, it provides two options: to download the latest Python versions from python.org or to specify a path to the Python executable (in case of non-standard installation).

   Refer to Configure a Python interpreter for more details.

   Now click the Create button at the bottom of the New Project dialog.

If you’ve already got a project open, after clicking Create PyCharm will ask you whether to open a new project in the current window or in a new one. Choose Open in current window- this will close the current project, but you'll be able to reopen it later. See the page Open, reopen, and close projects for details.

Create a Python file

1. In the Project tool window, select the project root (typically, it is the root node in the project tree), right-click it, and select File | New ....

2. Select the option Python File from the context menu, and then type the new filename.

   PyCharm creates a new Python file and opens it for editing.

Edit Python code

Let's start editing the Python file you've just created.

1. Start with declaring a class. Immediately as you start typing, PyCharm suggests how to complete your line:

   Choose the keyword class and type the class name, Car.

2. PyCharm informs you about the missing colon, then expected indentation:

   Note that PyCharm analyses your code on-the-fly, the results are immediately shown in the inspection indicator in the upper-right corner of the editor. This inspection indication works like a traffic light: when it is green, everything is OK, and you can go on with your code; a yellow light means some minor problems that however will not affect compilation; but when the light is red, it means that you have some serious errors. Click it to preview the details in the Problems tool window.

3. Let's continue creating the function __init__: when you just type the opening brace, PyCharm creates the entire code construct (mandatory parameter self, closing brace and colon), and provides proper indentation.

4. If you notice any inspection warnings as you're editing your code, click the bulb symbol to preview the list of possible fixes and recommended actions:

5. Let's copy and paste the entire code sample. Click the copy button in the upper-right corner of the code block here in the help page, then paste it into the PyCharm editor replacing the content of the Car.py file:

   This application is intended for Python 3

   class Car: def __init__(self, speed=0): self.speed = speed self.odometer = 0 self.time = 0 def say_state(self): print('I'm going {} kph!'.format(self.speed)) def accelerate(self): self.speed += 5 def brake(self): if self.speed < 5: self.speed = 0 else: self.speed -= 5 def step(self): self.odometer += self.speed self.time += 1 def average_speed(self): if self.time != 0: return self.odometer / self.time else: pass if __name__ '__main__': my_car = Car() print('I'm a car!') while True: action = input('What should I do? [A]ccelerate, [B]rake, ' 'show [O]dometer, or show average [S]peed?').upper() if action not in 'ABOS' or len(action) != 1: print('I don't know how to do that') continue if action 'A': my_car.accelerate() elif action 'B': my_car.brake() elif action 'O': print('The car has driven {} kilometers'.format(my_car.odometer)) elif action 'S': print('The car's average speed was {} kph'.format(my_car.average_speed())) my_car.step() my_car.say_state()

At this point, you're ready to run your first Python application in PyCharm.

Run your application

Use either of the following ways to run your code:

• Right-click the editor and select Run 'Car' from the context menu .

• Press Ctrl+Shift+F10.

• Since this Python script contains a main function, you can click an icon in the gutter. If you hover your mouse pointer over it, the available commands show up:

  If you click this icon, you'll see the popup menu of the available commands. Choose Run 'Car':

PyCharm executes your code in the Run tool window.

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Here you can enter the expected values and preview the script output.

Note that PyCharm has created a temporary run/debug configuration for the Car file.

The run/debug configuration defines the way PyCharm executes your code. You can save it to make it a permanent configuration or modify its parameters. See Run/debug configurations for more details about running Python code.

Summary

Congratulations on completing your first script in PyCharm! Let's repeat what you've done with the help of PyCharm:

• Created a project.

• Created a file in the project.

• Created the source code.

• Ran this source code.

In the next step, learn how to debug your programs in PyCharm.

The Python build runner automatically detects Python on agents and allows running Python scripts on Windows, Linux, and macOS.

Since TeamCity 2020.2, this bundled runner replaces the obsolete Python Runner plugin. The new runner offers support for virtual environments, Docker, Kotlin DSL, and provides extra features like full test coverage.

Refer to Configuring Build Steps for a description of common build steps' settings. Refer to Docker Wrapper to learn how you can run this step inside a Docker container.

Сommand settings

You can choose one of the following Python commands:

The set of available settings depends on the selected command. This table describes all command settings:

Python executable settings

In this block of settings, you can choose a Python version to run.

The Python runner automatically detects Python versions installed on a build agent. On Windows, it checks (1) the default install paths, (2) the system register, (3) the PATH variable. On Linux and macOS, it checks (1) the default install paths, (2) the PATH variable.

The runner sets the first detected versions of Python 2.x and 3.x as the agent's configuration parameters. Alternatively, you can provide a path to any installed version manually.

You can also specify arguments that will be passed to the interpreter in every Python run of this build step (for example, a custom environment tool run or reporting run).

Environment tool settings

Optionally, you can run a Python build step in a virtual environment. The Python runner supports the following tools:

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Pipenv settings

Optionally, enter install run arguments.

Poetry settings

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Optionally, enter install run arguments and a custom executable path to Poetry installed on a build agent.

The poetry install command will be run for this environment tool. It will resolve dependencies specified in the pyproject.toml file, located in the working directory. To be parsed correctly, this file should contain the tool.poetry section.

Venv and virtualenv settings

If TeamCity finds the requirements.txt file when autodetecting build steps from a project repository, it chooses venv as a tool for these settings by default. You can manually change it to virtualenv if necessary.
Read more about the differences between these tools.

Venv and virtualenv have the following settings:

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