讲 课程导学 - Python 环境的安装和配置
00 - Python
Xinyu OU
. Python
Python PythonAI "2.Python"
1. Python
a. PythonPythonURL: b. Add Python 3.8 to PATH
2.
2.1 python
>> pip install --upgrade pip
2.2
numpy >> pip install numpy
scipy >> pip install scipy
3. Python
IDLE IDLE
print("Hello World!")
Hello World!
import numpy import scipy # import
. Python
1. Python
AnacondaPythonAnacondaPython URL
2. Notebook
NotebookAnacondaPython "" -> Anaconda3(64bit) -> Jupyter Notebook(Anaconda3)
3. JupyterLab
JupyterLabJupyterJupyter
3.1 JupyterLab
Anaconda Prompt (Anaconda3) >> conda install jupyterlab
JupyterLab >> conda update jupyter_core jupyter_client
3.2 JupyterLab ()
JupyterLabAnaconda Prompt (Anaconda3) jupyter labJupyterLabNotebook'C:\Users\Administrator' JupyterLab
>> jupyter notebook --generate-config
C:\Users\.jupyter\jupyter_notebook_config.py c.NotebookApp.notebook_dir C:\Users\AnacondaAnaconda Prompt (Anaconda3)
(*.bat)JupyterLab a.
C:\ProgramData\Anaconda3\Scripts\jupyter-lab.exe D:\CloudStation\MyWebsites\Teaching\ComputerMath\
JupyterLabUser
b. JupyterLab.bat.bat
c. (*.bat)
4. Visual Studio Code (VSCode)
4.1 VSCode
VSCodePythonHtml+CSSJavascript phpWebJavaC++C VSCodeURL
4.2 VSCode ()
VSCode Extensions4Ctrl+Shift+X Install
Settings Sync Alt+Shift+U/D/ Settings SyncGithub Settings Sync Settings Sync
Ctrl+Shift+P Configure Display LanguageChinese (Simplified) Language Pack for Visual Studio Code VSCodeVSCode
Flake8 SettingFlake Python > Linting: Flake8 Enabled
PythonPython (Microsoft) Bracket Pair Colorizer 2+++ indent-rainbow Guides vscode-icons Extensions
Alt+Shift+F
Pythonpylint settings.json "python.linting.pylintArgs":["?generate-members"]
.
1. Python123
Python :
2. Notebook
Jupyterlab Notebook html pygis
.
PythonNumpyScipyAnaconda PythonPython
1. Numpy
NumpyPythonArray Numpyscikit-learn scikit-learn RUNOOBNumpy ml [ Numpy]
# importnumpy "np"numpy import numpy as np
# i, i = np.array([[12,34,56],[78,90,11]])
# i print("i = \n{}".format(i))
i = [[12 34 56]
[78 90 11]]
2. Scipy
ScipyPython Scipysparse 0npsparse()
# scipyfrom import numpy as np from scipy import sparse
# numpyeye()66 # 1 0 matrix = np.eye(6)
# np CSRScipy (sparse matrix) sparse_matrix = sparse.csr_matrix(matrix)
# print("\n{}".format(matrix))
[[1. 0. 0. 0. 0. 0.]
[0. 1. 0. 0. 0. 0.] [0. 0. 1. 0. 0. 0.] [0. 0. 0. 1. 0. 0.] [0. 0. 0. 0. 1. 0.] [0. 0. 0. 0. 0. 1.]]
# CSR print("CSR\n{}".format(sparse_matrix))
CSR (0, 0) 1.0 (1, 1) 1.0 (2, 2) 1.0 (3, 3) 1.0 (4, 4) 1.0 (5, 5) 1.0
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