python-1

wget https://mirrors.tuna.tsinghua.edu.cn/anaconda/miniconda/
Miniconda3-latest-Linux-x86\_64.sh #下载 bash Miniconda3-latest-Linux-x86\_64.sh #
运行安装脚本 source ~/.bashrc #相当于建立快捷方式以后可以直接在终端启用 conda #看一下成功了没，最后一行会有是否成功的提示

conda config --add channels https://mirrors.bfsu.edu.cn/anaconda/cloud/bioconda/
conda config --add channels https://mirrors.bfsu.edu.cn/anaconda/cloud/conda-forge/
conda config --add channels https://mirrors.bfsu.edu.cn/anaconda/pkgs/free/
conda config --add channels https://mirrors.bfsu.edu.cn/anaconda/pkgs/main/
conda config --set show\_channel\_urls yes #设置Conda在搜索软件包时显示通道的URL，这样用户可以看到每个软件包是从哪个镜像源下载的
$ conda config --show channels #检查一下看看能不能返回到刚才添加的哪些
channels:
  - https://mirrors.bfsu.edu.cn/anaconda/pkgs/main/
  - https://mirrors.bfsu.edu.cn/anaconda/pkgs/free/
  - https://mirrors.bfsu.edu.cn/anaconda/cloud/conda-forge/
  - https://mirrors.bfsu.edu.cn/anaconda/cloud/bioc
  - https://repo.anaconda.com/pkgs/main
  - https://repo.anaconda.com/pkgs/r
(base) root 23:53:06 ~

(base) root 23:58:53 ~
$ conda install mamba -y
Channels:
 - https://mirrors.bfsu.edu.cn/anaconda/cloud/bioconda
 - https://mirrors.bfsu.edu.cn/anaconda/pkgs/main
 - https://mirrors.bfsu.edu.cn/anaconda/pkgs/free
 - https://mirrors.bfsu.edu.cn/anaconda/cloud/conda-forge
 - https://mirrors.bfsu.edu.cn/anaconda/cloud/bioc
 - defaults
Platform: linux-64
Collecting package metadata (repodata.json): failed

UnavailableInvalidChannel: HTTP 404 NOT FOUND for channel anaconda/cloud/bioc <https://mirrors.bfsu.edu.cn/anaconda/cloud/bioc>

The channel is not accessible or is invalid.

You will need to adjust your conda configuration to proceed.
Use `conda config --show channels` to view your configuration's current state,
and use `conda config --show-sources` to view config file locations.

conda info --envs

mamba env remove -n envi1 # 删除环境,j激活的时候非得说你灭安装mamba,所以直接删了重新安装一下子

mamba create -n envi1 numpy  matplotlib pandas jupyterlab # 这条命令是用来创建一个新的虚拟环境并安装指定的Python包的,numpy  matplotlib pandas jupyterlab

(base) root 17:56:40 ~
$ conda info --env

# conda environments:
#
base                 * /root/miniconda3
envi1                  /root/miniconda3/envs/envi1

(base) root 17:58:36 ~
$ mamba activate envi1 #激活环境，有warning但是确实成功了
warning  libmamba You have not set the root prefix environment variable.
    To permanently modify the root prefix location, either:
      - set the 'MAMBA_ROOT_PREFIX' environment variable
      - use the '-r,--root-prefix' CLI option
      - use 'mamba shell init ...' to initialize your shell
        (then restart or source the contents of the shell init script)
    Continuing with default value: "/root/miniconda3"
(envi1) root 17:58:44

$ mamba activate envi1
critical libmamba Cannot activate, prefix does not exist at: '/root/.local/share/mamba/envs/envi1'
(base) root 15:35:51 ~
$ conda activate envi1
(envi1) root 15:36:12 ~

mamba install seaborn -y #这是要安装的 Python 包的名称。Seaborn 是一个基于 Matplotlib 的统计数据可视化库，它提供了一个高级接口，用于绘制吸引人的统计图形。-y：这个选项是 --yes 的简写形式，它告诉 mamba 自动确认所有提示
# 检查一下安装是否成功
(envi1) root 18:04:18 ~
$ python -c "import seaborn; print(seaborn.__version__)"
0.13.2 #输出版本号成功

(base) root 16:00:10 ~
$ conda activate envi1
(envi1) root 16:00:31 ~
$ python -m ipykernel install --user --name env1 --display-name "Python (envi1)"


Installed kernelspec env1 in /root/.local/share/jupyter/kernels/env1

 /mnt/g/Document/pythontest  #python 保存的内容
 jupyter lab --allow-root
#通过浏览器打开后，激活小环境
(base) root 18:08:28 /mnt/g/Document/pythontest
$ conda info --envs

# conda environments:
#
base                 * /root/miniconda3
envi1                  /root/miniconda3/envs/envi1

(base) root 18:10:33 /mnt/g/Document/pythontest
$ conda activate envi1

# ** 读书何为**
## 为**天地**立心
## 为**生民**立命
## 为**往圣继绝学**
## 为万世开太平
![](G:\Document\pythontest\读书何为.png)
> 花花老师

str(123)       # 输出: '123'
str(True)     # 输出: 'True'
str([1, 2, 3]) # 输出: '[1, 2, 3]'

int(123.9)     # 输出: 123
int('456')     # 输出: 456
int('101', 2)  # 输出: 5 (二进制字符串转换为十进制整数)

float(123)      # 输出: 123.0
float('456.78') # 输出: 456.78

bool(123)     # 输出: True
bool(0)       # 输出: False
bool('hello') # 输出: True
bool('')      # 输出: False
#在 Python 中，以下值被视为布尔 False：None、False、任何数值类型的零（如 0、0.0）、空字符串 ""、空列表 []、空字典 {} 等。所有其他值都被视为 True。

l[0]
# 1

x = [1,"2",True]
x[-1]
#True

l[0:2]
#1,'2' #不包含第三个数值

x = [0,1,2,3,4]
x[0:5:2]
#0,2,4

x = ['a','b','c']
x
## ['a', 'b', 'c']
y = x
y[1] = 'z'
y
## ['a', 'z', 'c']
x
## ['a', 'z', 'c']

my_dict = {'name': 'Alice', 'age': 25, 'city': 'Wonderland'}

my_dict = {'a': 1, 'b': 2, 'c': 3}
# 提取存在的键
value = my_dict.get('b')  # 返回 2
# 提取不存在的键
value = my_dict.get('d')  # 返回 None，因为没有键 'd'

from operator import itemgetter
# 创建提取器
getter1 = itemgetter('name', 'age')
# 提取
list(getter1(dict1))
# ['Tom', 25]

person = {
    'name': 'Alice',
    'age': 30,
    'city': 'Wonderland'
}
# 获取所有键
keys = person.keys()
print(list(keys))  # 输出: ['name', 'age', 'city']
# 获取所有值
values = person.values()
print(list(values))  # 输出: ['Alice', 30, 'Wonderland']
# 获取所有键值对
items = person.items()
print(list(items))  # 输出: [('name', 'Alice'), ('age', 30), ('city', 'Wonderland')]

dict1.update({'gender': 'male','height': 185})
dict1
## {'name': 'Tom', 'age': 25, 'city': 'Beijing', 'gender': 'male', 'height': 185}