Where to write code in pycharm

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Release: 2024-04-19 12:42:15
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The main locations for writing code in PyCharm are: Editor window: used to write and edit code, providing functions such as syntax highlighting and error detection. Project View: Displays the project directory structure, allowing the creation and management of code files. Python Interactive Window: Interact with the Python interpreter, executable code snippets, and debug errors. Run/Debug window: Run, debug, and test code, providing functions such as step-by-step execution and setting breakpoints. Terminal window: Access the system command line to run external tools and install Python packages.

Where to write code in pycharm

Where to write code in PyCharm

PyCharm is a popular Python development environment that provides an intuitive and powerful code editor. The main place to write code in PyCharm is:

1. Editor window:

  • is located in the center of the PyCharm interface.
  • For writing, editing, and browsing Python code.
  • Includes functions such as syntax highlighting, auto-completion and error detection.

2. Project view:

  • is located on the left side of the PyCharm interface.
  • Display the directory structure of the current project.
  • Allows you to create, open and manage code files.
  • You can perform common operations, such as creating new files or renaming existing files, by right-clicking on a file or directory.

3. Python interactive window:

  • Located at the bottom of the PyCharm interface.
  • Allows you to interact directly with the Python interpreter.
  • can be used to execute code snippets, test functions, or debug errors.

4. Run/Debug window:

  • Located at the bottom of the PyCharm interface.
  • is used to run, debug and test your code.
  • Provides functions such as step-by-step execution, setting breakpoints, and checking the value of variables.

5. Terminal window:

  • is located at the bottom of the PyCharm interface.
  • Provides an interface for accessing the system command line.
  • Can be used to run external tools, perform system-level tasks, or install Python packages.

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