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- To start a new REPL or interactive session, you just need to run the Python interpreter in interactive mode from your command line. This mode will put you into a shell environment where you can execute Python code.
realpython.com/python-repl/
Start the Python standard REPL from your command line; Use the REPL to write and execute Python code; Edit, modify, and reuse code in an interactive session; Access Python’s built-in help system and introspect your code; Fine-tune some features of the Python standard REPL; Understand the REPL’s missing features
- Getting The Most Out of The Python Standard Repl
The Python standard shell, or REPL (Read-Eval-Print Loop),...
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- Getting The Most Out of The Python Standard Repl
May 4, 2022 · Once you understand a few basic principles and methods you’ll be able to start an interactive Python session for any Python version or installation on your machine. This article presents three ways to get Python working on your Windows computer.
Jun 1, 2016 · Right click on the Python file you want to execute in the file explorer and select Run Current File in Interactive Window. This will launch an interactive session, with linting, code completion and syntax highlighting: Enter the code you would like to evaluate, and hit shift + enter on your keyboard to execute.
- 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.
In this lesson, you’ll learn about the various ways to start and end a REPL interactive session. You’ll try out a sampling of command-line options, but you may want to learn more. In that case, you can turn to the course Command Line Interfaces in Python for a deeper dive.
Sep 6, 2023 · The Python REPL. September 6, 2023. We’ll start our Python learning journey with the Python REPL. It’s an interactive shell that allows you to enter Python commands and directly see the results. It’s a great way to tinker and learn! We’ll use the REPL as a calculator and explore Python’s operators. Table of Contents [hide]
To start your Python REPL session, you need to open a command-line interface and type “python”. This will launch the Python interpreter. Once you’re in the shell, you can start typing Python commands and seeing the results immediately. To end the REPL session, you can type “exit ()” or “quit ()” in the shell. Running Code in a REPL Session.
