### 统计代写|python代考|Using More Built-in Types

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|Tuples — Unchanging Sequences of Data

Beside strings and numbers, Python provides three other important basic types: tuples, lists, and dictionaries. These three types have a lot in common because they all allow you to group more than one item of data together under one name. Each one also gives you the capability to search through them because of that grouping. These groupings are indicated by the presence of enclosing parentheses ” 0 “, square brackets “[]”, and curly braces ” {}$^{\prime \prime}$.
When you write a program, or read someone else’s program, it is important to pay attention to the type of enclosing braces when you see groupings of elements. The differences among {}$,[]$, and 0 are important.

You can see in the example that $f i l 1$ er is treated exactly as though its data – the tuple with strings were present and being used by the string to fill in its format specifiers because the tuple was treated exactly as though you had typed in a sequence to satisfy the format specification.

You can access a single value inside of a tuple. The value referred to by each element can be accessed directly by using the dereference feature of the language. With tuples, you dereference the value by

placing square brackets after the name of the tuple, counting from zero to the element that you’re accessing. Therefore, the first element is 0 , and the second element is 1 , the third element is 2 , and so on until you reach the last element in the tuple:
$>>a=($ first”, “second”, “third”)

print “The first element of the tuple is o्夂s” of a[0]
The first element of the tuple is first
$>>>$ print “The second element of the tuple is ofs” 핳 a[1]
The second element of the tuple is second
print “The third element of the tuple is ofs” of a[2]
The third element of the tuple is third
A tuple keeps track of how many elements it contains, and it can tell you when you ask it by using the built-in function len:
$\rightarrow>$ print *o्षc do lon(a)
3
This returns 3 , so you need to remember that the 1 en function starts counting at 1 , but when you access your tuple, because tuples are counted starting from zero, you must stop accessing at one less than the number returned by len:
$\rightarrow>$ print a[len $(a)-1]$
3
You can also have one element of a tuple refer to an entirely different tuple. In other words, you can create layers of tuples:
$>>>b=(a, ” b ‘ s$ second element”)
Now you can access the elements of the tuple a by adding another set of brackets after the first one, and the method for accessing the second element is no different from accessing the first – you just add another set of square brackets.

## 统计代写|python代考|Lists — Changeable Sequences of Data

The individual elements of a list can be accessed in the same way as tuples. Like tuples, the elements in a list are referenced starting at 0 and are accessed in the same order from zero until the end.
$>>>$ count $=0$

print “Todays breakfast is 망 ” 의 breakfast[count]
Todays breakfast is coffee
$>>>$ count $=1$
$>>>$ print “Todays breakfast is 항s” 왕 breakfast[count]
Todays breakfast is tea
$>>>$ count $=2$
print “Todays breakfast is ofs” of breakfast[count]
Todays breakfast is toast
$\rightarrow>$ count $=3$
print “Todays breakfast is 황 영 breakfast[count]
Todays breakfast is egg

When you are accessing more than one element of a list, one after the other, it is essential to use a name to hold the value of the numbered position where you are in the list. In simple examples like this, you should do it to get used to the practice, but in practice, you will always do this. Most often, this is done in a loop to view every element in a sequence (see Chapter 4 for more about loops).

Here, you’re manually doing the work of increasing the value referred to by count to go through each element in the breakfast list to pull out the special for four days of the week. Because you’re increasing the count, whatever number is referred to by count is the element number in the breakfast list that is accessed.

The primary difference in using a list versus using a tuple is that a list can be modified after it has been created. The list can be changed at any time:
$>>$ breakfast [count] = “sausages”
$\rightarrow>$ print “Todays breakfast is ofs” of breakfast [count]
$>>>$ breakfast[count] = “sausages”
$>>>$ print “Todays breakfast is ofs” of breakfast [count]
Todays breakfast is sausages
Todays breakfast is sausages

## 统计代写|python代考|Dictionaries — Groupings of Data Indexed by Name

When you first assign to menus_specials, you’re creating an empty dictionary with the curly braces. Once the dictionary is defined and referenced by the name, you may start to use this style of specifying the

name that you want to be the index as the value inside of the square brackets, and the values that will be referenced through that index are on the right side of the equals sign. Because they’re indexed by names that you choose, you can use this form to assign indexes and values to the contents of any dictionary that’s already been defined.

When you’re using dictionaries, there are special names for the indexes and values. Index names in dictionaries are called keys, and the values are called, well, values. To create a fully specified (or you can think of it as a completely formed) dictionary – one with keys and values assigned at the outset – you have to specify each key and its corresponding value, separated by a colon, between the curly braces. For example, a different day’s specials could be defined all at once:

menu_specials = (“breakfast” : “sausage and eggs”,
… “lunch” : “split pea soup and garlic bread”,
… “dinner”: “2 hot dogs and onion rings”)
To access any of the values, you use square brackets with the name of the key enclosed in the brackets. If the key is a string, the key has to be enclosed in quotes. If the key is a number (you can use numbers, too, making a dictionary look a lot like a list or a tuple), you need only the bare number.
sausage and eggs
$>>>\mathrm{~ p r i n t ~ ” o ् 8 ” ~ ㅎ ㅗ ㅇ ㅔ}$
split pea soup and garlic bread
sausage and eggs
$>>$ print “>8s” of menu_specials[“1unch”]
split pea soup and garlic bread
$>>>$ print “>8s” of menu_specials[“dinner”]
2 hot dogs and onion rings
2 hot dogs and onion rings
If a key that is a string is accidentally not enclosed in quotes when you try to use it within square brackets, Python will try to treat it as a name that should be dereferenced to find the key. In most cases, this will raise an exception – a NameError – unless it happens to find a name that is the same as the string, in which case you will probably get an IndexError from the dictionary instead!

## 统计代写|python代考|Tuples — Unchanging Sequences of Data

>>一种=(第一第二第三”）

print “元组的第一个元素是o्夂s” of a[0]

>>>print “元组的第二个元素是ofs” 핳 a[1]

print “元组的第三个元素是ofs” of a[2]

→>print *o्षc do lon(a)
3

→>打印 [len(一种)−1]
3

>>>b=(一种,”b‘s第二个元素”)

## 统计代写|python代考|Lists — Changeable Sequences of Data

>>>数数=0

print “今天的早餐是망” 의 早餐[count]

>>>数数=1
>>>print “今天的早餐是항s” 왕 早餐[count]

>>>数数=2
print “今天的早餐是ofs”的早餐[count]

→>数数=3
print “今天的早餐是황 영 早餐[count]

>>早餐 [count] = “香肠”
→>打印早餐的“今天的早餐是 ofs” [count]
>>>早餐[计数] = “香肠”
>>>打印早餐的“今天早餐是ofs” [count]

## 统计代写|python代考|Dictionaries — Groupings of Data Indexed by Name

……“午餐”：“豌豆汤和大蒜面包”，
……“晚餐”：“2 个热狗和洋葱圈”)

्ㅎㅗㅇㅔ>>> pr一世n吨 ”这्8” 他去你的是的到

2 hot dogs and onion ring
2 hot dogs and onion ring

## 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。