Python解决pip install numpy过慢问题的几种方法

pip install numpy -i https://pypi.tuna.tsinghua.edu.cn/simple

[global]
index-url = https://pypi.tuna.tsinghua.edu.cn/simple
trusted-host = pypi.tuna.tsinghua.edu.cn

conda install numpy

conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free/
conda config --set show_channel_urls yes

pip install numpy --no-cache-dir -i https://pypi.tuna.tsinghua.edu.cn/simple

python -m pip install --upgrade pip

pip install numpy-1.24.4-cp39-cp39-win_amd64.whl

pip install numpy -i http://mirrors.aliyun.com/pypi/simple/ --trusted-host mirrors.aliyun.com

docker pull python:3.9-slim
docker run -it python:3.9-slim bash
pip install numpy -i https://pypi.tuna.tsinghua.edu.cn/simple

<dependency>
    <groupId>com.opencsv</groupId>
    <artifactId>opencsv</artifactId>
    <version>5.7.1</version>
</dependency>

import com.opencsv.CSVReader;
import java.io.FileReader;
import java.util.List;

public class CSVDataReader {
    public static void main(String[] args) {
        String csvFile = "full_capacity_data.csv";
        
        try (CSVReader reader = new CSVReader(new FileReader(csvFile))) {
            List<String[]> data = reader.readAll();
            
            // 跳过表头
            for (int i = 1; i < data.size(); i++) {
                String[] row = data.get(i);
                int cycle = Integer.parseInt(row[0]);
                double capacity = Double.parseDouble(row[1]);
                System.out.printf("Cycle: %d, Capacity: %.3f Ah%n", cycle, capacity);
            }
        } catch (Exception e) {
            e.printStackTrace();
        }
    }
}

import java.io.BufferedReader;
import java.io.InputStreamReader;

public class PythonExecutor {
    public static void main(String[] args) {
        try {
            ProcessBuilder pb = new ProcessBuilder("python", "generate_capacity_data.py");
            Process process = pb.start();
            
            BufferedReader reader = new BufferedReader(
                new InputStreamReader(process.getInputStream())
            );
            
            String line;
            while ((line = reader.readLine()) != null) {
                System.out.println(line);
            }
            
            int exitCode = process.waitFor();
            System.out.println("Python脚本执行完成，退出码: " + exitCode);
        } catch (Exception e) {
            e.printStackTrace();
        }
    }
}