这两天的学习中安装了不少的关于python的软件。现在自己电脑中的两种比较好用。
第一种：由python-3.7.3和JetBrains PyCharm 2019.1.3 x64搭建的环境
1、在Windows环境下安装Python环境
1、访问Python下载页面：www.python.org/download
2、下载Windows版本的Python程序
3、根据操作系统，单击相应的安装程序连接
4、双击安装即可
显示安装成功即可
5、测试安装--通过“开始”中“所有程序”，启动IDLE（Python GUI），运行一个“24*7”，并回车；
环境软件
项目全选
网上找个激活码
激活码验证失败
下面是有效的激活码
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安装完毕之后，建立新的项目，不要有中文出现在项目名中，如下图：
Close
选中项目点右键
到这里安装完成
下面我们来第一个程序
2、在Linux环境下安装Python环境
在Linux环境下，默认是安装了Python了的；
但是由图可知，我们这里使用的Python为2.6版本；这时我们需要更新到3.0版本以上；
a下载安装数据包
mkdir /usr/local/python3
cd /usr/local/python3
wget https://www.python.org/ftp/python/3.7.0/Python-3.7.0.tar.xz
b解压数据包得到源码，安装编译环境
yum install gcc -y
yum install openssl-devel //安装ssl的库环境
yum install libffi-devel //出现如下错误需要安装这个库文件
c编译安装Python3
tar xvf python
cd python
./configure --prefix=/usr/local/Python3.7.0/ --enable-optimizations
make && make install
安装完成
d生成命令文件的软连接，以及pip3库文件的软连接
ln -s /usr/local/Python3.7.0/bin/python3 /bin/python3
ln -s /usr/local/Python3.7.0/bin/pip3 /bin/pip3
e测试
自此，Python3的环境已经搭建完成；
Anaconda指的是一个开源的Python发行版本，其包含了conda、Python等180多个科学包及其依赖项。 [1] 因为包含了大量的科学包，Anaconda 的下载文件比较大（约 531 MB），如果只需要某些包，或者需要节省带宽或存储空间，也可以使用Miniconda这个较小的发行版（仅包含conda和 Python）