VSCode相关问题
## vscode下载缓慢问题
https://blog.csdn.net/ZoeCXY/article/details/124391379

linux

# UBUNTU18.04安装最新版VSCode报错问题_dpkg: dependency problems prevent configuration of-CSDN博客

## vscode powershell设置
- 解决终端字体不对其问题
  https://blog.csdn.net/qq_30118563/article/details/122443303
- 解决vscode终端切换环境不显示问题
  https://www.iotword.com/4505.html
  
  
# Anaconda 
## 下载地址
- https://mirrors.tuna.tsinghua.edu.cn/anaconda/archive/
## linux下安装方法
- sh ***.sh
## window安装方法
- https://blog.csdn.net/zhouzhiwengang/article/details/129952728

# ROS1.0
- 正常安装
https://robot.czxy.com/docs/ros/env/ros18/

- 加速方法
https://zhuanlan.zhihu.com/p/370785600

# PCL
- https://robot.czxy.com/docs/pcl/env/pcl/

# Nvidia显卡驱动安装地址(nvidia-smi 可用于查看支持最高的cuda版本,不一定要装)
- https://www.nvidia.cn/Download/index.aspx?lang=cn

# CUDA 安装(与pytorch版本对应)(nvcc -V 安装的cuda版本)
**找到安装下载地址**
- https://developer.nvidia.com/cuda-toolkit-archive
- linux下使用提示命令安装
- windows下双击安装

# CUDNN 安装地址
- https://developer.nvidia.com/rdp/cudnn-archive

#  pip的理解

pip是Python的包管理工具，用于给Python解析器加装一些库（numpy、pandas），Python本身没有这些功能

pip -r install requirement.txt -i  https://pypi.tuna.tsinghua.edu.cn/simple

pip install streamlit==1.17.0 -i https://pypi.tuna.tsinghua.edu.cn/simple

python -m pip install sentence-transformers==2.2.2

# 查看安装的版本

python

import numpy

print(numpy.__version__)

conda的指令：

• conda create -n env_name python=3.8

# 安装 uv
curl -LsSf https://astral.sh/uv/install.sh | sh

uv venv --python 3.10

source .venv/bin/activate
uv pip install numpy

# 多屏幕显示

驱动下载地址:

DisplayLink GPU Agnostic Display SolutionsSynaptics’ DisplayLink uses software and a device decoder to act as a virtual graphics card, enhancing display capabilities, productivity, and sustainability with adaptive compression technology.https://www.synaptics.com/products/displaylink-graphics#products