Search results
Run Python scripts from your operating system’s command line or terminal. Execute Python code and scripts in interactive mode using the standard REPL. Use your favorite IDE or code editor to run your Python scripts. Fire up your scripts and programs from your operating system’s file manager.
- Namespaces and Scope in Python
Namespaces are one honking great idea—let’s do more of...
- Import
The first thing Python will do is look up the name abc in...
- What Can I Do With Python
Matplotlib is a library for creating static, animated, and...
- Java
Object Attributes. All object-oriented languages have some...
- Python Ides and Code Editors
Out of the box, PyCharm supports Python development...
- Kyle
Hi there! I’m Kyle, a Python developer who is a bit obsessed...
- Module
Python Modules: Overview. There are actually three different...
- Namespaces and Scope in Python
The Python extension offers various ways to run Python code without extra configuration. Select the Run Python File in Terminal play button in the top-right of the editor. The button opens a terminal panel in which your Python interpreter is automatically activated, then runs the specified script (for example, python3 hello.py (macOS/Linux) or python hello.py (Windows)):
- 1.95
- Overview
- Open an Interactive window
- Interactive window options
- Use the Interactive window
- Switch scopes
- Send to Interactive command
- IntelliSense behavior
Visual Studio provides an interactive read-evaluate-print loop (REPL) window for each of your Python environments, which improves upon the REPL you get with python.exe on the command line. The Interactive window (opened with the View > Other Windows > Interactive menu commands) lets you enter arbitrary Python code and see immediate results. This way of coding helps you learn and experiment with APIs and libraries and interactively develop working code to include in your projects.
Visual Studio has many Python REPL modes to choose from:
This article describes the Standard and Debug REPL modes. For details on IPython modes, see Use the IPython REPL.
For a detailed walkthrough with examples, including the interactions with the editor such as Ctrl+Enter, see Tutorial Step 3: Use the Interactive REPL window.
There are several ways to open the Interactive window for an environment.
First, switch to the Python Environments window (View > Other Windows > Python Environments or Ctrl+K > Ctrl+`) and select the Open Interactive Window command or button for a chosen environment.
Second, near the bottom of the View > Other Windows menu, there's a Python Interactive Window command for your default environment, and a command to switch to the Environments window:
Third, you can open an Interactive window for the startup file in your project, or for any stand-alone file, by selecting the Debug > Execute in Python Interactive menu command (Shift+Alt+F5):
You can control various aspects of the Interactive window through Tools > Options > Python > Interactive Windows (see Options):
Once the Interactive window is open, you can start entering code line-by-line at the >>> prompt. The Interactive window executes each line as you enter it, which includes options such as importing modules, defining variables.
The exception is when more lines of code are needed to make a complete statement, such as when a for statement ends in a colon as shown above. In these cases, the line prompt changes to ..., indicating that you need to enter more lines for the block, as shown on the fourth and fifth lines in the graphic above. When you press Enter on a blank line, the Interactive window closes the block and runs it in the interpreter.
By default, the Interactive window for a project is scoped to the project's startup file as if you ran it from the command prompt. For a stand-alone file, it scopes to that file. At any time during your REPL session, however, the drop-down menu along the top of the Interactive window lets you change the scope:
Once you import a module, such as typing import importlib, options appear in the drop-down to switch into any scope in that module. A message in the Interactive window also indicates the new scope, so you can track how you got to a certain state during your session.
In addition to working within the Interactive window directly, you can select code in the editor, right-click, and choose Send to Interactive or press Ctrl+Enter.
This command is useful for iterative or evolutionary code development, including testing your code as you develop it. For example, once you've sent a piece of code to the Interactive window and seen its output, you can press the up arrow to show the code again, modify it, and test it quickly by pressing Ctrl+Enter. (Pressing Enter at the end of input executes it, but pressing Enter in the middle of input inserts a newline.) Once you have the code you want, you can easily copy it back into your project file.
In addition to working within the Interactive window directly, you can select code in the editor, right-click, and choose Send to Interactive or press Ctrl+Enter.
This command is useful for iterative or evolutionary code development, including testing your code as you develop it. For example, once you've sent a piece of code to the Interactive window and seen its output, you can press the up arrow to show the code again, modify it, and test it quickly by pressing Ctrl+E. (Pressing Enter at the end of input executes it, but pressing Enter in the middle of input inserts a newline.) Once you have the code you want, you can easily copy it back into your project file.
The Interactive window includes IntelliSense based on the live objects, unlike the code editor in which IntelliSense is based on source code analysis only. These suggestions are more correct in the Interactive window, especially with dynamically generated code. The drawback is that functions with side-effects (such as logging messages) may impact your development experience.
If this behavior is a problem, change the settings under Tools > Options > Python > Interactive Windows in the Completion Mode group, as described on Options - Interactive windows options.
To start the debugger, use one of the following options: For the whole notebook, open the Command Palette (⇧⌘P (Windows, Linux Ctrl+Shift+P)) and run the Jupyter: Debug Current File in Python Interactive Window command. For an individual cell, use the Debug Cell adornment that appears above the cell. The debugger specifically starts on the ...
- 1.95
Jun 22, 2013 · 1. To run a python script in a python shell such as Idle or in a Django shell you can do the following using the exec () function. Exec () executes a code object argument. A code object in Python is simply compiled Python code. So you must first compile your script file and then execute it using exec ().
To run the Python script you have open on the editor, select the Run Python File in Terminal play button in the top-right of the editor. There are also additional ways you can iteratively run snippets of your Python code within VS Code: Select one or more lines, then press Shift+Enter or right-click and select Run Selection/Line in Python Terminal.
People also ask
How do I run a project in Python interactive?
How to use Python interactive window in Visual Studio Code?
How do I open a Python project in VS Code?
How do I run a python script in Visual Studio?
What is Python interactive window?
How do I run a python script in VS Code?
The standard REPL logs a complete history of all the code that you’ve typed and run while working in interactive mode. This history is saved to a file called .python_history, typically located in your home directory. While in interactive mode, you can browse this history by using the arrow keys on your keyboard.
