What can pycharm do?
PyCharm is a Python IDE that comes with a set of tools that can help users improve their efficiency when developing in the Python language, such as debugging, syntax highlighting, project management, code jumps, smart prompts, and auto-complete , unit testing, version control. Additionally, this IDE offers some advanced features.
PyCharm is a Python IDE with a set of tools that can help users improve their efficiency when developing in the Python language, such as debugging, syntax Highlighting, project management, code jumping, smart prompts, auto-completion, unit testing, and version control. In addition, the IDE provides some advanced features to support professional web development under the Django framework.
Coding Assistance
It provides a smart, configurable tool with coding completion, code snippets, support for code folding and split windows The editor helps users complete coding tasks faster and easier.
Project Code Navigation
The IDE helps users instantly navigate from one file to another, from a method to its declaration or usage, and even through the class hierarchy. . It can even be faster if users learn to use the shortcut keys provided.
Code Analysis
Users can use its coding syntax, error highlighting, intelligent detection and one-click code quick completion suggestions to make coding more optimized.
Python Refactoring
With this feature, users can easily rename, extract methods/superclasses, and import fields/variables/constants within the project scope , move and push forward/backward refactoring.
Support Django
With its own HTML, CSS and JavaScript editors, users can more quickly develop Web through the Django framework. In addition, it supports CoffeeScript, Mako and Jinja2.
Support Google App Engine
Users can choose to use Python 2.5 or 2.7 running environment to develop applications for Google App Engine and perform routine program deployment work .
Integrated version control
Log in, log out, view splitting and merging - all within its unified VCS user interface (available for Mercurial, Subversion, Git, Perforce and other SCMs).
Graphic page debugger
Users can use its own comprehensive debugger to adjust Python or Django applications and test units. The debugger comes with Breakpoints, stepping, multi-screen views, windows and evaluating expressions.
Integrated unit testing
Users can run a test file, a single test class, a method or all test projects in a folder.
Customizable & Extensible
Can be bound to Textmate, NetBeans, Eclipse & Emacs keyboard master, and Vi/Vim simulation plug-in.
Recommended tutorial: "Python Tutorial"
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To run an ipynb file in PyCharm: open the ipynb file, create a Python environment (optional), run the code cell, use an interactive environment.

Reasons for PyCharm to run slowly include: Hardware limitations: low CPU performance, insufficient memory, and insufficient storage space. Software related issues: Too many plugins, indexing issues, and large project sizes. Project configuration: Improper configuration of the Python interpreter, excessive file monitoring, and excessive resource consumption by the code analysis function.

Solutions to PyCharm crashes include: check memory usage and increase PyCharm's memory limit; update PyCharm to the latest version; check plug-ins and disable or uninstall unnecessary plug-ins; reset PyCharm settings; disable hardware acceleration; reinstall PyCharm; contact Support staff asked for help.

To remove the PyCharm interpreter: Open the Settings window and navigate to Interpreters. Select the interpreter you want to delete and click the minus button. Confirm the deletion and reload the project if necessary.

How to export Py files in PyCharm: Open the file to be exported, click the "File" menu, select "Export File", select the export location and file name, and click the "Export" button

Method to modify the Python interface to Chinese: Set the Python language environment variable: set PYTHONIOENCODING=UTF-8 Modify the IDE settings: PyCharm: Settings>Appearance and Behavior>Appearance>Language (Chinese); Visual Studio Code: File>Preferences>Search "locale" > Enter "zh-CN" to modify the system locale: Windows: Control Panel > Region > Format (Chinese (China)); macOS: Language and Region > Preferred Language (Chinese (Simplified) drag to the top of the list)

How to install the Pandas module using PyCharm: Open PyCharm, create a new project, and configure the Python interpreter. Enter the command pip install pandas in the terminal to install Pandas. Verify installation: Import pandas in PyCharm's Python script. If there are no errors, the installation is successful.

Configure a run configuration in PyCharm: Create a run configuration: In the "Run/Debug Configurations" dialog box, select the "Python" template. Specify script and parameters: Specify the script path and command line parameters to be run. Set the running environment: select the Python interpreter and modify the environment variables. Debug Settings: Enable/disable debugging features and specify the debugger port. Deployment options: Set remote deployment options, such as deploying scripts to the server. Name and save the configuration: Enter a name for the configuration and save it.
