python encode decode
是字节码bytes与字符串str之间的转换
- encode() 方法为字符串类型（str）提供的方法，用于将 str 类型转换成 bytes 类型，这个过程也称为“编码”。
str.encode([encoding="utf-8"][,errors="strict"])
- decode() 方法用于将 bytes 类型的二进制数据转换为 str 类型，这个过程也称为“解码”。
bytes.decode([encoding="utf-8"][,errors="strict"])
base64 encode decode
是字节码之间的转换
-
base64.b64encode()：其他bytes字节码 -> base64 bytes字节码
-
base64.b64deocde()：base64 bytes字节码 -> 其他bytes字节码
图片的网络传输为例
网络传输数据格式是：base64 str
Send: binary bytes -> base64 bytes -> base64 str
Rec: base64 str -> base64 bytes -> binary bytes
import base64
with open("/var/www/blog/content/images/Vim/word_moves.jpg", "rb") as fp:
binary_bytes = fp.read()
binary_bytes
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base64_bytes = base64.b64encode(binary_bytes)
base64_bytes
b'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'
base64_str = base64_bytes.decode()
base64_str
'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'
base64_bytes_rec = base64_str.encode()
base64_bytes_rec
b'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'
binary_bytes_rec = base64.b64decode(base64_bytes_rec)
binary_bytes_rec
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binary_bytes_rec == binary_bytes # 接收端恢复
True