


Introduction to the method of generating verification code images in python3 pillow
This article mainly introduces the example of python3 pillow to generate a simple verification code image, which is of great practical value. Friends in need can refer to it
Use Python's pillow module random module to randomly generate verification code images, and Apply to Django project
Install pillow
$ pip3 install pillow
Generate verification code image
\vericode.py from PIL import Image,ImageDraw,ImageFont,ImageFilter import random #随机码 默认长度=1 def random_code(lenght=1): code = '' for char in range(lenght): code += chr(random.randint(65,90)) return code #随机颜色 默认颜色范围【1,255】 def random_color(s=1,e=255): return (random.randint(s,e),random.randint(s,e),random.randint(s,e)) #生成验证码图片 #length 验证码长度 #width 图片宽度 #height 图片高度 #返回验证码和图片 def veri_code(lenght=4,width=160,height=40): #创建Image对象 image = Image.new('RGB',(width,height),(255,255,255)) #创建Font对象 font = ImageFont.truetype('Arial.ttf',32) #创建Draw对象 draw = ImageDraw.Draw(image) #随机颜色填充每个像素 for x in range(width): for y in range(height): draw.point((x,y),fill=random_color(64,255)) #验证码 code = random_code(lenght) #随机颜色验证码写到图片上 for t in range(lenght): draw.text((40*t+5,5),code[t],font=font,fill=random_color(32,127)) #模糊滤镜 image = image.filter(ImageFilter.BLUR) return code,image
Application
Write the view function under Django application
\views.py from . import vericode.py from io import BytesIO from django.http import HttpResponse def verify_code(request): f = BytesIO() code,image = vericode.veri_code() image.save(f,'jpeg') request.session['vericode'] = code return HttpResponse(f.getvalue()) def submit_xxx(request): if request.method == "POST": vericode = request.session.get("vericode").upper() submitcode = request.POST.get("vericode").upper() if submitcode == vericode: return HttpResponse('ok') return HttpResponse('error')
Django session is used here, which needs to be in Django settings. Add 'django.contrib.sessions' (added by default) to INSTALLED_APPS in py
verify_code view function adds the verification code to the session and sends the verification code image to the browser. When submitting the form to submit_xxx(), first Obtain the verification code from the session and compare it with the verification code entered from the form.
This is just a brief explanation, the url configuration and front-end code are not given.
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Python and C each have their own advantages, and the choice should be based on project requirements. 1) Python is suitable for rapid development and data processing due to its concise syntax and dynamic typing. 2)C is suitable for high performance and system programming due to its static typing and manual memory management.

Choosing Python or C depends on project requirements: 1) If you need rapid development, data processing and prototype design, choose Python; 2) If you need high performance, low latency and close hardware control, choose C.

By investing 2 hours of Python learning every day, you can effectively improve your programming skills. 1. Learn new knowledge: read documents or watch tutorials. 2. Practice: Write code and complete exercises. 3. Review: Consolidate the content you have learned. 4. Project practice: Apply what you have learned in actual projects. Such a structured learning plan can help you systematically master Python and achieve career goals.

Methods to learn Python efficiently within two hours include: 1. Review the basic knowledge and ensure that you are familiar with Python installation and basic syntax; 2. Understand the core concepts of Python, such as variables, lists, functions, etc.; 3. Master basic and advanced usage by using examples; 4. Learn common errors and debugging techniques; 5. Apply performance optimization and best practices, such as using list comprehensions and following the PEP8 style guide.

Python is suitable for beginners and data science, and C is suitable for system programming and game development. 1. Python is simple and easy to use, suitable for data science and web development. 2.C provides high performance and control, suitable for game development and system programming. The choice should be based on project needs and personal interests.

Python is more suitable for data science and rapid development, while C is more suitable for high performance and system programming. 1. Python syntax is concise and easy to learn, suitable for data processing and scientific computing. 2.C has complex syntax but excellent performance and is often used in game development and system programming.

It is feasible to invest two hours a day to learn Python. 1. Learn new knowledge: Learn new concepts in one hour, such as lists and dictionaries. 2. Practice and exercises: Use one hour to perform programming exercises, such as writing small programs. Through reasonable planning and perseverance, you can master the core concepts of Python in a short time.

Python is easier to learn and use, while C is more powerful but complex. 1. Python syntax is concise and suitable for beginners. Dynamic typing and automatic memory management make it easy to use, but may cause runtime errors. 2.C provides low-level control and advanced features, suitable for high-performance applications, but has a high learning threshold and requires manual memory and type safety management.


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