


This article mainly introduces a detailed tutorial on how to implement SMTP email sending in Python, with the SMTP email sending code attached. Interested friends can refer to it
Introduction
Python tutorial for sending emails. When I searched the website, I found a lot of them, but they all talked about a lot of principles and then launched the implementation code. When I tested using the given code to send emails, it was unsuccessful. It took me a long time to find the reason. This was all caused by the lack of detailed environment debugging, so today I will provide a detailed tutorial, step by step from environment debugging to code implementation. I hope it will help people who are still struggling to find solutions. I haven't been able to get any help from someone who can effectively resolve it.
SMTP protocol
First understand SMTP (Simple Mail Transfer Protocol). The mail transfer agent uses the SMTP protocol to send emails to the recipient's mail server. The SMTP protocol can only be used to send emails, not receive emails, and most email sending servers use the SMTP protocol. The default TCP port number for the SMTP protocol is 25.
Environment debugging
As mentioned above, the email is sent using the SMTP protocol, so you need to check whether the SMTP protocol is turned on in your sender's mailbox first. If not, it is necessary. Turn it on. I tested using the 163.com mailbox as the sender's mailbox. Turn on the SMTP protocol as shown in the figure below.
1. First log in to the 163.com mailbox (NetEase mailbox), as shown below
2. When you see an option "Settings" in the function bar above the mailbox, click the option and then select # from the drop-down menu ##"POP3/SMTP/IMAP"
##3. As shown in the figure below, the two red boxes above It must be checked. If it is not checked, you can check it if you want to choose to enable it. Then you can see
in the red box below: SMTP server :smtp.163.com
After the above settings, the environment will be debugged Okay, the code can be implemented below. It is recommended to use pycharm4.5.3
editor to write the code. The following code can be used in both python2.7 and python3.4 version tests. #coding:utf-8 #强制使用utf-8编码格式
import smtplib #加载smtplib模块
from email.mime.text import MIMEText
from email.utils import formataddr
my_sender='发件人邮箱账号' #发件人邮箱账号,为了后面易于维护,所以写成了变量
my_user='收件人邮箱账号' #收件人邮箱账号,为了后面易于维护,所以写成了变量
def mail():
ret=True
try:
msg=MIMEText('填写邮件内容','plain','utf-8')
msg['From']=formataddr(["发件人邮箱昵称",my_sender]) #括号里的对应发件人邮箱昵称、发件人邮箱账号
msg['To']=formataddr(["收件人邮箱昵称",my_user]) #括号里的对应收件人邮箱昵称、收件人邮箱账号
msg['Subject']="主题" #邮件的主题,也可以说是标题
server=smtplib.SMTP("smtp.xxx.com",25) #发件人邮箱中的SMTP服务器,端口是25
server.login(my_sender,"发件人邮箱密码") #括号中对应的是发件人邮箱账号、邮箱密码
server.sendmail(my_sender,[my_user,],msg.as_string()) #括号中对应的是发件人邮箱账号、收件人邮箱账号、发送邮件
server.quit() #这句是关闭连接的意思
except Exception: #如果try中的语句没有执行,则会执行下面的ret=False
ret=False
return ret
ret=mail()
if ret:
print("ok") #如果发送成功则会返回ok,稍等20秒左右就可以收到邮件
else:
print("filed") #如果发送失败则会返回filed
If the sending is successful, ok will be returned, otherwise the execution is unsuccessful, as shown below:
Although the code can be used, some people inevitably like to mess around and break the code while playing, so here are a few knowledge points to clear up your doubts.
1. I see that there is no "#coding:utf-8" in the first line of the code above. I believe that many people who read this code do not pay much attention to this line. Anyway, it has nothing to do with the code implementation. Just select the utf-8 format when saving; let me tell you, this line of code is very important in python. It is best to add mandatory character encoding to every page, because the python2 version recognizes ASCII encoding by default, so when Chinese characters It is not recognized when it appears in python, and the error message that appears is as shown below:
Error messageExample: File"F:/python/s12/pymail.py",line2SyntaxError:Non-ASCIIcharacter'\xe5'infileF:/python/s12/pymail.pyonline2,butnoencoding
declared ;seehttp://www.python.org/peps/pep-0263.htmlfordetailsSo when the above encoding error message appears, you can add Up
#coding:utf-8#Force encoding to utf-8 or
#coding:GBK# The forced encoding is GBK[Related recommendations]
1.
4. Python uses SMTP to send emails
The above is the detailed content of Share an example of how to implement SMTP to send emails using Python. For more information, please follow other related articles on the PHP Chinese website!

Is it enough to learn Python for two hours a day? It depends on your goals and learning methods. 1) Develop a clear learning plan, 2) Select appropriate learning resources and methods, 3) Practice and review and consolidate hands-on practice and review and consolidate, and you can gradually master the basic knowledge and advanced functions of Python during this period.

Key applications of Python in web development include the use of Django and Flask frameworks, API development, data analysis and visualization, machine learning and AI, and performance optimization. 1. Django and Flask framework: Django is suitable for rapid development of complex applications, and Flask is suitable for small or highly customized projects. 2. API development: Use Flask or DjangoRESTFramework to build RESTfulAPI. 3. Data analysis and visualization: Use Python to process data and display it through the web interface. 4. Machine Learning and AI: Python is used to build intelligent web applications. 5. Performance optimization: optimized through asynchronous programming, caching and code

Python is better than C in development efficiency, but C is higher in execution performance. 1. Python's concise syntax and rich libraries improve development efficiency. 2.C's compilation-type characteristics and hardware control improve execution performance. When making a choice, you need to weigh the development speed and execution efficiency based on project needs.

Python's real-world applications include data analytics, web development, artificial intelligence and automation. 1) In data analysis, Python uses Pandas and Matplotlib to process and visualize data. 2) In web development, Django and Flask frameworks simplify the creation of web applications. 3) In the field of artificial intelligence, TensorFlow and PyTorch are used to build and train models. 4) In terms of automation, Python scripts can be used for tasks such as copying files.

Python is widely used in data science, web development and automation scripting fields. 1) In data science, Python simplifies data processing and analysis through libraries such as NumPy and Pandas. 2) In web development, the Django and Flask frameworks enable developers to quickly build applications. 3) In automated scripts, Python's simplicity and standard library make it ideal.

Python's flexibility is reflected in multi-paradigm support and dynamic type systems, while ease of use comes from a simple syntax and rich standard library. 1. Flexibility: Supports object-oriented, functional and procedural programming, and dynamic type systems improve development efficiency. 2. Ease of use: The grammar is close to natural language, the standard library covers a wide range of functions, and simplifies the development process.

Python is highly favored for its simplicity and power, suitable for all needs from beginners to advanced developers. Its versatility is reflected in: 1) Easy to learn and use, simple syntax; 2) Rich libraries and frameworks, such as NumPy, Pandas, etc.; 3) Cross-platform support, which can be run on a variety of operating systems; 4) Suitable for scripting and automation tasks to improve work efficiency.

Yes, learn Python in two hours a day. 1. Develop a reasonable study plan, 2. Select the right learning resources, 3. Consolidate the knowledge learned through practice. These steps can help you master Python in a short time.


Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

AI Hentai Generator
Generate AI Hentai for free.

Hot Article

Hot Tools

VSCode Windows 64-bit Download
A free and powerful IDE editor launched by Microsoft

Notepad++7.3.1
Easy-to-use and free code editor

MinGW - Minimalist GNU for Windows
This project is in the process of being migrated to osdn.net/projects/mingw, you can continue to follow us there. MinGW: A native Windows port of the GNU Compiler Collection (GCC), freely distributable import libraries and header files for building native Windows applications; includes extensions to the MSVC runtime to support C99 functionality. All MinGW software can run on 64-bit Windows platforms.

WebStorm Mac version
Useful JavaScript development tools

SublimeText3 Linux new version
SublimeText3 Linux latest version