Turtle Basics
Turtle is an important package (built-in package) for drawing in Python, which contains a wealth of drawing tools and drawings Various functions, when you learn to draw with Turtle, you can draw any pattern you want
1.1 Turtle Drawing Board
Turtle’s drawing board can be of any size Use the turtle.screensize() function to set
turtle.screensize(width,height,bg):设置画板的大小,包含长和宽,width为宽,height为高,bg为画布颜色
1.2 Turtle brush
Turtle’s brush has several commonly used functions
①turtle.penup():抬起画笔,此时移动画笔不会在画布上留下痕迹哦 ②turtle.pendown():放下画笔,与turtle.penup相对应,放下画笔后就可以继续画画了(放下画笔后画画会在画布上留下痕迹) ③turtle.pensize():控制画笔的大小(可以根据需求自行定义画笔的大小哦) ④turtle.pencolor():控制画笔的颜色(可以自己在网上查阅所有python可以使用的颜色,python里面可以用的颜色有很多的哦) ⑤turtle.hideturtle():隐藏画笔(隐藏画笔以后画图时画笔就看不到了)
1.3 Turtle drawing
In the process of drawing, we often use some simple movement functions
①turtle.forward(x):将画笔向前移动x个像素(x可以理解为距离) ②turtle.backward(x):将画笔向后退x个像素(x可以理解为距离) ③turtle.left(n):将画笔向左旋转n度 ④turtle.right(n):将画笔向右旋转n度 ⑤turtle.speed():设置画笔画图的速度(1~10递增,0最快)
1.4 Turtle coloring
After drawing the picture, we often need to fill it with color. Here we can use the turtle.fillcolor() function and write the color you want to fill in the brackets.
When using the turtle.fillcolor() function, pay attention to its basic format
turtle.beginfill() #开始填充 turtle.fillcolor() #输入填充的颜色 turtle.endfill() #结束填充
1.5 Turtle writing
After completing the entire drawing, We can use the turtle.write() function to write
turtle.write(" ",move,align,font) ① 第一个位置双引号内填入要写的字 ② move(可选):在默认情况下,move为false。如果move为true,则笔将移动到右下角 ③ align(可选):可取值是left即左、center即中、right即右之一,是字符串格式 ④ font(可选):字体三元组(fontname、fontsize、fonttype),fontname即字体名称(字符串格式,如“宋体”),fontsize即字体大小),fonttype即字体类型如:normal(普通)、bold(粗体)、italic(斜体)
Simulate the starry sky
After briefly understanding the turtle, let us simulate the starry sky together!
Simulated planet
We regard each planet as a particle, each particle is represented by a small turtle, and each planet is generated by cloning the turtle
t=tu.Turtle(visible=False,shape='circle') t.pencolor("white") t.fillcolor("white") t.penup() t.goto(ra.randint(width/2,width),ra.randint(-height/2,height/2)) for i in range(99): star=t.clone() s=ra.uniform(0,1)/3 star.shapesize(s,s) star.speed(ra.randint(2,5)) star.setx(ra.randint(width/2,width)) star.sety(ra.randint(-height/2,height/2)) star.showturtle() stars.append(star)
Romantic Starry Sky
Simulate the starry sky through loops
When each planet disappears from the left, we re-add it to the right and continue the loop
while True: for star in stars: star.setx(star.xcor()-star.speed()) if star.xcor()<-width/2: star.hideturtle() star.setx(ra.randint(width/2,width)) star.sety(ra.randint(-height/2,height/2)) star.showturtle()
The above is the detailed content of How to use Python's Turtle to create your own starry sky. 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

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.

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

WebStorm Mac version
Useful JavaScript development tools

Dreamweaver Mac version
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)