/*

Author : IDH

Date : 2020-04-30(last-updated)

*/

• Install Visual Studio Code

  Download link : https://code.visualstudio.com/download

• Install Default plugin

  • Korean Language Pack for Visual Stduio Code
  • vscode-icons(Icon theme)
  • One Dark Pro (Color theme)
  • Bracket Pair Colorizer
  • Color Manager
  • select highlight in minimap
  • GitLens
  • Git Graph

• Install Anaconda package

  Download link : https://www.anaconda.com/products/individual

• Run Anaconda Navigator (Anaconda3)

     If you wand create own channel
  
       1) In the Anaconda Navigator, change from the `Home` tab to the `Environment` tab.
       2) And clieck `Create` you own channel
  
     Now you have own channel!
  

• Click VS Code Lanch button

    If you created own channel
    
    change `Application on base(root)` to your own channel
  

Open VS Code terminal

    $ conda activate `user-env-channel-name`
    ex) $ conda activate Estate-Plug_dev

1. Make Workspace

2. Go to Setting

3. Change tab Workspace at User

4. Search Keyword terminal shell

5. Find Terminal > Integrated > Sheel: Windows

6. Click setting.json에서 편집

7. Add Text like this (if you installed default setting anaconda package)

       "terminal.integrated.shellArgs.windows": [ 
             "/K", "C:\ProgramData\Anaconda3\Scripts\activate.bat C:\ProgramData\Anaconda3" 
       ]
   

   If you want to automatically set the prompt to the user-env-channel after running Visual Studio Code, modify as follows:

      "terminal.integrated.shellArgs.windows": [ 
             "/K", "C:\ProgramData\Anaconda3\Scripts\activate.bat C:\ProgramData\Anaconda3 & conda activate <user-env-channel" 
       ]
   

8. Save settings.json

1. Press F1

2. insert Python: Select Interpreter

   than in setting.json you see like see

     ​"python.pythonPath": "C:\\Users\\<user>\\.conda\\envs\\Estate-Plug_dev\\python.exe"
   

   conda install --name <channel-name> <package-name>

   ex) conda install pandas
       conda install --name dev bs4

What is diff pip install and conda install

So Conda is a packaging tool and installer that aims to do more than what pip does; handle library dependencies outside of the Python packages as well as the Python packages themselves. Conda also creates a virtual environment, like virtualenv does.

src link : https://stackoverflow.com/questions/20994716/what-is-the-difference-between-pip-and-conda

$ conda env export > prj_env.yml

$ conda env create -f prj_env.yml