### 统计代写|python代考|Variables – Names for Values

Python是一种高级的、解释性的、通用的编程语言。它的设计理念强调代码的可读性，使用大量的缩进。

Python是动态类型的，并且是垃圾收集的。它支持多种编程范式，包括结构化（特别是程序化）、面向对象和函数式编程。由于其全面的标准库，它经常被描述为一种 “包含电池 “的语言。

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• Statistical Inference 统计推断
• Statistical Computing 统计计算
• (Generalized) Linear Models 广义线性模型
• Statistical Machine Learning 统计机器学习
• Longitudinal Data Analysis 纵向数据分析
• Foundations of Data Science 数据科学基础

## 统计代写|python代考|Referring to Data – Using Names for Data

In the previous two chapters, you learned how Python views strings, integers, longs, floats, and imaginary numbers and how they can be created and displayed. This chapter presents more examples that will demonstrate how these data types can be used.
In this chapter, you will learn how to use names to store the types you already know as well as other basic types to which you will be introduced. The same facility will enable you to work with different types of objects that you haven’t learned about yet, too. By the end of this chapter, you should be familiar with variables and new, different types – specifically, you will become better acquainted with lists, tuples, and dictionaries. You will know what a reference is and have some experience in using references.

To get the most out of this chapter, you should type the examples yourself and alter them to see what happens.

It’s difficult to always write strings and numbers explicitly throughout a program because it forces you to remember everything. The exacting memory that computers have enable them to remember far more details than people can, and taking advantage of that capability is a huge part of programming. However, to make using data more flexible and easy, you want to give the data names that can be used to refer to them.

## 统计代写|python代考|Assigning Values to Names

These names are commonly called variables, which indicates that the data to which they refer can vary (it can be changed), while the name remains the same. You’ll see them referred to as names, as well, because that is what you are presented with by Python.
$\Rightarrow>$ first_string $=$ “This is a string”
$>>$ second_string = “This is another string”
$>>$ first_number $=4$
$>>>$ second_number $=5$
first_number, second_numberl
The first variables are This is a string, This is another string, 4,5

You can see that you can associate a name with a value – either a string or an integer-by using the equals (=) sign. The name that you use doesn’t relate to the data to which it points in any direct sense (that is, if you name it “number,” that doesn’t actually have to mean that it holds a number).
$>>>$ first_string $=245$
$>>>$ second_number = “This isn’t a number”
$>>$ first_string
245

second_number
“This isn’t a number”
The benefit of being able to name your data is that you can decide to give it a name that means something. It is always worthwhile to give your data a name that reminds you of what it contains or how you will use it in your program. If you were to inventory the lightbulbs in your home, you might want a piece of your program to contain a count of the lightbulbs in your closets and another piece to contain a count of those actually in use:
$>>$ lightbulbs_in_closet $=10$
$>>$ lightbulbs_in_lamps $=12$
As lightbulbs are used, they can be moved from the closet into the lamps, and a name can be given to the number of lightbulbs that have been thrown out this year, so that at the end of the year you have an idea of what you’ve bought, what you have, and what you’ve used; and when you want to know what you still have, you have only to refer to lightbulbs_in_closet or lightbulbs_in_lamps.

When you have names that relate to the value stored in them, you’ve created an informal index that enables you to look up and remember where you put the information that you want so that it can be easily used in your program.

## 统计代写|python代考|Copying Data

Every operation you’ve learned for numbers and strings can be used with a variable name so that you can treat them exactly as if they were the numbers they referenced:
$>>>$ proverb $=$ “A penny saved”
$>>$ proverb $=$ proverb $+$ is a penny earned”
$>>$ proverb $=$ “A penny saved”
$>>$ proverb proverb $+”$ is a penny earned “
$>>$ print proverb
A penny saved is a penny earned
$>>$ pennies_saved $=0$
$>>$ pennies_saved $=$ pennies_saved $+1$
$>>$ pennies_saved
1
$>>$ print proverb
A penny saved is a penny earned

pennies_saved $=0$
$>>$ pennies_saved = pennies_saved $+1$
pennies_saved
1

Whenever you combine named values on the right-hand side of an equals sign, the names will be operated on as though you had presented Python with the values referenced by the names, even if the same name is on the left-hand side of the equals sign. When Python encounters a situation like that, it will first evaluate and find the result of the operations on the right side and then assign the result to the name on the left side. That way, there’s no confusion about how the name can exist on both sides – Python will do the right thing.

## 统计代写|python代考|Assigning Values to Names

⇒>第一个字符串=“这是一个字符串”
>>second_string = “这是另一个字符串”
>>first_number=4
>>>second_number=5
first_number, second_numberl

>>>第一个字符串=245
>>>second_number = “这不是数字”
>>第一个字符串
245

second_number
“这不是数字”

>>lightbulbs_in_closet=10
>>lightbulbs_in_lamps=12

## 统计代写|python代考|Copying Data

>>>谚语=“节省一分钱”
>>谚语=谚语+一分钱赚”
>>谚语=“节省一分钱”
>>谚语谚语+”是一分钱赚“
>>印刷谚语

>>pennies_saved=0
>>pennies_saved=pennies_saved+1
>>pennies_saved
1
>>印刷谚语

pennies_saved=0
>>pennies_saved = pennies_saved+1
pennies_saved
1

## 有限元方法代写

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## MATLAB代写

MATLAB 是一种用于技术计算的高性能语言。它将计算、可视化和编程集成在一个易于使用的环境中，其中问题和解决方案以熟悉的数学符号表示。典型用途包括：数学和计算算法开发建模、仿真和原型制作数据分析、探索和可视化科学和工程图形应用程序开发，包括图形用户界面构建MATLAB 是一个交互式系统，其基本数据元素是一个不需要维度的数组。这使您可以解决许多技术计算问题，尤其是那些具有矩阵和向量公式的问题，而只需用 C 或 Fortran 等标量非交互式语言编写程序所需的时间的一小部分。MATLAB 名称代表矩阵实验室。MATLAB 最初的编写目的是提供对由 LINPACK 和 EISPACK 项目开发的矩阵软件的轻松访问，这两个项目共同代表了矩阵计算软件的最新技术。MATLAB 经过多年的发展，得到了许多用户的投入。在大学环境中，它是数学、工程和科学入门和高级课程的标准教学工具。在工业领域，MATLAB 是高效研究、开发和分析的首选工具。MATLAB 具有一系列称为工具箱的特定于应用程序的解决方案。对于大多数 MATLAB 用户来说非常重要，工具箱允许您学习应用专业技术。工具箱是 MATLAB 函数（M 文件）的综合集合，可扩展 MATLAB 环境以解决特定类别的问题。可用工具箱的领域包括信号处理、控制系统、神经网络、模糊逻辑、小波、仿真等。