Which sublime Pycharm is better? How to choose
Many novices don’t know which editor to choose when facing sublime Pycharm. The following php Chinese website sublime tutorial column will summarize for you which sublime Pycharm is better? How to choose.
1: Advantages and disadvantages of sublime and pycharm
1. Sublime advantages and disadvantages
sublime installation comparison It is convenient, the interface is relatively simple, and the fonts are beautiful. Users do not have to create any projects. It only takes one second to open them. It has many basic functions. Not only can it write Python, but it can also write some other languages, and it can also edit multiple lines of code. .
But sublime can only output one window. If we want to see the running results of two programs, sublime is difficult to do. In addition, sublime cannot terminate the process. When we want to listen to the port, When we modify the program and want to run it once, the result shows that the port is occupied. We can only terminate the process manually. When we modify the file name, we cannot perform global replacement, so in general, the index is not Great.
2. PyCharm advantages and disadvantages
The biggest advantage of PyCharm is that PyCharm files have output windows, and the process can also be terminated. There are also various prompt functions, such as code writing errors. , there will be red wavy lines if the variables are used incorrectly. Of course, PyCharm’s indexing function is super powerful, but the only drawback is that the interface is not very good-looking.
2: Which sublime Pycharm is better? How to choose
If you are a novice, it is recommended to choose Pycharm, because Pycharm will have a prompt function that can reduce the probability of us making mistakes, and there are solutions for writing mistakes, which is very suitable for novices.
The above is about which sublime Pycharm is better? For a complete introduction on how to choose, please pay attention to the php Chinese website for more relevant knowledge.
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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

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.

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)
