### 统计代写|python代考|Functions

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
• Advanced Probability Theory 高等概率论
• Advanced Mathematical Statistics 高等数理统计学
• (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|Putting Your Program into Its Own File

Up until this point, any time you wanted to accomplish a task, you have needed to type out entire programs to do the job. If you needed to do the same work again, you could type the entire program again or place it in a loop. However, loops are most useful when you are repeating the same thing, but writing the same loop repeatedly in different parts of your program with slightly modified values in each one is not a sane way to live your life.

Python has functions that enable you to gather sections of code into more convenient groupings that can be called on when you have a need for them.

In this chapter, you will learn how to create and use your own functions. You will be given guidelines to help facilitate your thinking about how to create and structure your programs to use functions. You will also learn to write your functions so that you can later interrogate them for information about how they behave and what you intend for them to do.

As the examples in this book get longer, typing the entire code block begins to be a burden. A single mistake causes you to retype in the entire block of code you are working on. Long before you’ve gotten to the point where you’ve got more than, say, 40 lines of code to type, you are unlikely to want to have to do it more than once.
You are probably already aware that programmers write programs that are saved as source code into files that can be opened, edited, and run without a great deal of work.

To reach this far more convenient state of affairs, from here on out you should type the programs you are using into the main codeEditor window, and save the examples from the book into a single folder from which you can reference them and run them. One suggestion for naming the folder could be “Learning Python, ” and then you could name the programs according to the chapters in which they appear.

## 统计代写|python代考|Grouping Code under a Name

When you invoke ch5. py with just the in_fridge function defined, you won’t see any output. However, the function will be defined, and it can be invoked from the interactive Python session that you’ve created.

To take advantage of the in_fridge function, though, you have to ensure that there is a dictionary called fridge with food names in it. In addition, you have to have a string in the name wanted_food. This string is how you can ask, using in_fridge, whether that food is available. Therefore, from the interactive session, you can do this to use the function:
$>>>$ fridge $=\left{\right.$ ‘apples’ $: 10$, ‘oranges’ $: 3$, ‘milk’ $\left.1 k^{\prime}\right}$
$>>$ wanted_food = ‘apples’
$>>$ in_fridge(l)
10
$>>$ wanted_food = ‘oranges’
$>>>$ in_fridge()
3
$>>>$ wanted_food = ‘milk’
$>>$ in_fridge(1)
2
This is more than just useful – it makes sense and it saves you work. This grouping of blocks of code under the cover of a single name means that you can now simplify your code, which in turn enables you to get more done more quickly. You can type less and worry less about making a mistake as well.

Functions are a core part of any modern programming language, and they are a key part of getting problems solved using Python.
Functions can be thought of as a question and answer process when you write them. When they are invoked, a question is often being asked of them: “how many,” “what time,” “does this exist?” “can this be changed?” and more. In response, functions will often return an answer – a value that will contain an answer, such as True, a sequence, a dictionary, or another type of data. In the absence of any of these, the answer returned is the special value None.
Even when a function is mainly being asked to just get something simple done, there is usually an implied question that you should know to look for. When a function has completed its task, the questions “Did it work?” or “How did it work out?” are usually part of how you invoke the function.

## 统计代写|python代考|Describing a Function in the Function

After you’ve chosen a name for your function, you should also add a description of the function. Python enables you to do this in a way that is simple and makes sense.

If you place a string as the first thing in a function, without referencing a name to the string, Python will store it in the function so you can reference it later. This is commonly called a docstring, which is short for documentation string.
Documentation in the context of a function is anything written that describes the part of the program (the function, in this case) that you’re looking at. It’s famously rare to find computer software that is well documented. However, the simplicity of the docstring feature in Python makes it so that, generally, much more information is available inside Python programs than in programs written in other languages that lack this friendly and helpful convention.
The text inside the docstring doesn’t necessarily have to obey the indentation rules that the rest of the source code does, because it’s only a string. Even though it may visually interrupt the indentation, it’s important to remember that, when you’ve finished typing in your docstring, the remainder of your functions must still be correctly indented.
def in_fridge (\rangle :
*”This is a function to see if the fridge has a food.
fridge has to be a dictionary defined outside of the function.
the food to be searched for is in the string wanted_food” *
try:
count = fridge[wanted_food]
def in_fridge ():
” “This is a function to see if
the food to be searched for is in the
try:
count = fridge[wanted_food]
except KeyError:
count = 0
return count
except KeyError:
count $=0$
return count
The docstring is referenced through a name that is part of the function, almost as though the function were a dictionary. This name is doc and it’s found by following the function name with a period and the name _ doc..

## 统计代写|python代考|Putting Your Program into Its Own File

Python 具有使您能够将代码段收集到更方便的分组中的功能，这些分组可以在您需要时调用。

## 统计代写|python代考|Grouping Code under a Name

>>>冰箱=\left{\right.$‘苹果’$: 10$, ‘橙子’$: 3$, ‘牛奶’$\left.1 k^{\prime}\right}=\left{\right.$‘苹果’$: 10$, ‘橙子’$: 3$, ‘牛奶’$\left.1 k^{\prime}\right}
>>Wanted_food = ‘苹果’
>>in_fridge(l)
10
>>Wanted_food = ‘橘子’
>>>in_fridge()
3
>>>Wanted_food = ‘牛奶’
>>in_fridge(1)
2

## 统计代写|python代考|Describing a Function in the Function

def in_fridge (\rangle :
*”这是一个查看冰箱是否有食物的函数。

try:
count =冰箱[wanted_food]
def in_fridge ():
” “这是一个查看

try中的函数：
count =冰箱[wanted_food]

count = 0

count=0
return count

## 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。