We call numbers in the form z=a bj (a, b are real numbers) called complex numbers, where a is called the real part, b is called the imaginary part, and j is the Imaginary unit.
A complex number is a pair of ordered floating-point numbers (x,y), where x is the real part and y is the imaginary part.
The concept of complex numbers in the Python language:
1. Imaginary numbers cannot exist alone. They always form a complex number together with a real number part with a value of 0.0
2. A complex number consists of a real part and an imaginary part
3. The syntax for expressing complex numbers: real imagej
4. The real part and the imaginary part are both floating point numbers
5. The imaginary part There must be a suffix j or J
aa=123-12j print aa.real # output 实数部分 123.0 print aa.imag # output虚数部分 -12.0
The output result is:
123.0 -12.0
Built-in properties of complex numbers:
The complex number object has data properties, which are the real and imaginary parts of the complex number. department.
Complex numbers also have the conjugate method, which can be called to return the conjugate complex object of the complex number.
Complex number attributes: real (real part of complex number), imag (imaginary part of complex number), conjugate() (returns the conjugate complex number of complex number)
class Complex(object): '''创建一个静态属性用来记录类版本号''' version=1.0 '''创建个复数类,用于操作和初始化复数''' def __init__(self,rel=15,img=15j): self.realPart=rel self.imagPart=img #创建复数 def creatComplex(self): return self.realPart+self.imagPart #获取输入数字部分的虚部 def getImg(self): #把虚部转换成字符串 img=str(self.imagPart) #对字符串进行切片操作获取数字部分 img=img[:-1] return float(img) def test(): print "run test..........." com=Complex() Cplex= com.creatComplex() if Cplex.imag==com.getImg(): print com.getImg() else: pass if Cplex.real==com.realPart: print com.realPart else: pass #原复数 print "the religion complex is :",Cplex #求取共轭复数 print "the conjugate complex is :",Cplex.conjugate() if __name__=="__main__": test()
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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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