1. This document provides instructions on installing various Python packages and environments including NumPy, Conda, Jupyter, virtualenvwrapper, and Google Colab. 2. It also includes steps for mounting Google Drive in Colab, changing Python paths, and refreshing Jupyter kernels. 3. The last section discusses changing background colors and installing the Carla simulator.

1. 1. Numpy
Cập nhật
python -m pip install --upgradepip
Cài đặt:
pip install numpy
pip install --user notebook
pip install --user tensorflow==1.15
conda install numpy
pip list -v
py -0
python –version
conda install matplotlib
xóa
pip uninstall numpy
2. Conda
conda create --name Hung python=3.7
conda env remove --name Hung
conda activate Hung --y
conda deactivate
conda env list
conda info –envs
conda install python=3.5
Cài đặt từng môi trường
conda install --name Hung keras

2. 3. Jupyter
conda create --name firstEnv
conda create -n Hung python=3.7.6
Cai moi truong
conda install -c anaconda ipykernel
python -m ipykernel install --user --name=Hung
cai goi
conda install numpy
conda activate Hung
jupyter kernelspec list
xoa:
jupyter kernelspec uninstall Hung
pip import numpy
pip import open3d
pip install opencv-python
pip install matplotlib
pip install nuscenes-devkit
pip install git+https://github…
4. virtualenvwrapper

3. conda install virtualenvwrapper-win
5. Google Colab
!python –version
!which python
!echo $PYTHONPATH
%env PYTHONPATH=
!echo $PYTHONPATH
virtualenv NAME
conda for google colab
!pip install -q condacolab
import condacolab
condacolab.install()
import condacolab
condacolab.check()
Open Google Colab
Mount Google Drive
import os, sys
#to be able to interact with Google Drive's operating system
fromgoogle.colab import drive
#drive is a module that allows us use Python to interact with google drive
drive.mount('/content/gdrive')
#mounting google drive allows us to work with its contents
nb_path = '/content/notebooks'
os.symlink('/content/gdrive/My Drive/Colab Notebooks', nb_path)
sys.path.insert(0, nb_path) #or append(nb_path)
#The last three lines are what changes the path of the file.

4. Install the module in the notebook folder permanently
!pip install --target=$nb_path spacy
Mount your Google drive
fromgoogle.colab import drive
drive.mount('/content/gdrive')
Change the path to the directory where the module is located
import sys
sys.path.append('/content/gdrive/My Drive/Colab Notebooks')
6. Kenenl died with code 1
Go to terminal open it as admin.
conda activate Hung
conda install --name Hung ipykernel -y
refresh the kernel by opening the jupyter note book from vscode terminal
-Choose the kernal you updated with ipykernel in vscode

5. Change background color
{
"workbench.colorCustomizations": {
"editor.background": "#141414"},
"launch": {
"configurations": [],
"compounds": []
},
"workbench.colorTheme": "One Dark Pro Flat",
"workbench.editorAssociations": {
"*.ipynb": "jupyter-notebook"
},
"security.workspace.trust.untrustedFiles": "open",
"window.zoomLevel": 1,
"terminal.integrated.altClickMovesCursor": false
}
Function definition: python.languageserver

6. Carla
spawn_npc.py -n 100
e:
cd E:Hung-CarlaCARLA_0.9.11
cd E:
netstat -plnt