How to build a Python basic environment (pictures and text)

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1. Programming language

1. Interpreted language: The code must be translated every time the program is executed, such as Java, JavaScript, VBScript, Perl, Python, Ruby, MATLAB, etc. are all interpreted languages

2. Compiled languages: The code is only translated once before the program is executed. Afterwards, the program is executed in the translated machine language, such as Eexe files, such as C/C, Pascal/Object Pascal (Delphi), etc. are all compiled languages

2. Python environment basics

1, IDE

Integrated development environment

2. Virtual machine

Create a virtual computer in the operating system, which is equivalent to a subsystem. There is almost no difference between the virtual machine and the operating system.

3. Port mapping

Each computer has 65535 ports. External programs connect to the ports of the internal programs of the machine (find the program through the ip port). Programs of the operating system can only access the operating system. The port of the virtual machine cannot be directly accessed. Port mapping is to connect the port of the physical machine and the port of the virtual machine together.

　

4. Isolate the Python running environment

4.1 virtualenv

Windows system, create a Python environment in the D drive, and use virtualenv to convert the system Copy the Python environment on the disk to the folder on the D drive (if you use pycharm to create a Python project, the Python environment will be automatically created in the project folder)

　

4.2virtualenvwrapper

Linux system, use the workon command to view the environment name, use the workon environment name to switch to the corresponding environment, and deactivate to exit the environment. To create a virtual environment, use mk -p /usr/bin/python3.6 first (-p represents the path, which means copying the python3.6 environment in /usr/bin/ to the current folder. Only the environment is copied and the third-party library is not copied. ）

　

3. Pycharm configuration

1.pycharm remote connection

Select the project address and the interpreter. Generally, the default is C drive. Python environment, you can also create a new environment yourself

　

If you want to connect remotely, you need to connect to the virtual machine through ssh when the virtual machine is turned on, configure the corresponding content, and select Just synchronize the file address remotely

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