How to configure python environment in pycharm
How to configure python environment with pycharm: first specify the writable mode, the code is [f1.write('hello boy!')]; then close the relevant file to write the data in the cache to the file , the code is [[root@node1 ~]# hello boy!].
The operating environment of this tutorial: Windows 7 system, python version 3.9, DELL G3 computer.
How to configure python environment with pycharm:
Writing data directly is not possible because the 'r' read-only mode is opened by default
>>> f.write('hello boy') Traceback (most recent call last): File "<stdin>", line 1, in <module> IOError: File not open for writing >>> f <open file '/tmp/test.txt', mode 'r' at 0x7fe550a49d20>
You should specify the writable mode first
>>> f1 = open('/tmp/test.txt','w') >>> f1.write('hello boy!')
But at this time the data is only written to the cache, not saved to the file, and as you can see from the output below, the original configuration has been cleared
[root@node1 ~]# cat /tmp/test.txt [root@node1 ~]#
Close this file to write the data in the cache to the file
>>> f1.close() [root@node1 ~]# cat /tmp/test.txt [root@node1 ~]# hello boy!
Note: This step needs to be very careful, because if the edited file exists, this step will clear it first. The file is rewritten. So what should you do if you don’t want to clear the file and then write it?
Using r mode will not clear it first, but will replace the original file, as in the following example: hello boy! is replaced by hello aay!
>>> f2 = open('/tmp/test.txt','r+') >>> f2.write('\nhello aa!') >>> f2.close() [root@node1 python]# cat /tmp/test.txt hello aay!
How to achieve no replacement?
>>> f2 = open('/tmp/test.txt','r+') >>> f2.read() 'hello girl!' >>> f2.write('\nhello boy!') >>> f2.close() [root@node1 python]# cat /tmp/test.txt hello girl! hello boy!
You can see that if you read the file before writing and then write, the written data will be added to the end of the file without replacing the original file. This is caused by pointers. The pointer in r mode is at the beginning of the file by default. If written directly, the source file will be overwritten. After reading the file through read(), the pointer will move to the end of the file and then write data. There will be no problem. A mode can also be used here
>>> f = open('/tmp/test.txt','a') >>> f.write('\nhello man!') >>> f.close() >>> [root@node1 python]# cat /tmp/test.txt hello girl! hello boy! hello man!
For introduction to other modes, see the table below:
Related free learning recommendations:python Video tutorial
The above is the detailed content of How to configure python environment in pycharm. For more information, please follow other related articles on the PHP Chinese website!

Hot AI Tools

Undress AI Tool
Undress images for free

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Clothoff.io
AI clothes remover

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

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 run an ipynb file in PyCharm: open the ipynb file, create a Python environment (optional), run the code cell, use an interactive environment.

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.

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.

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)

The menu bar in PyCharm provides quick access to various functions and options. To restore the menu bar: Click the View menu. Select the "Toolbar" option. Check the "Menu Bar" checkbox. Click OK. The menu bar contains the following menus: File, Edit, View, Navigate, Refactor, Run, Debug, Tools, VCS, Window, and Help.
