Basic tutorial introduces basic concepts, especially objects and classes.
The advanced tutorial further expands the basic tutorial and explains the details of Python. I hope that after the advanced tutorial, you will have a more comprehensive understanding of Python.
As we said before, list is a class in Python. A specific table, say nl = [1,3,8], is an object of this class. We can call some methods of this object, such as nl.append(15).
We are going to introduce a new class, dictionary. Similar to lists, dictionaries can store multiple elements. This object that stores multiple elements is called a container.
Basic concepts
Common methods of creating dictionaries:
>>>dic = {'tom':11, 'sam':57,'lily':100} >>>print type(dic)
Dictionaries are similar to tables in that they contain multiple elements, each element separated by commas. However, the elements of the dictionary include two parts, keys and values. It is common to use strings to represent keys, and numbers or true values can also be used to represent keys (immutable objects can be used as keys). The value can be any object. There is a one-to-one correspondence between keys and values.
For example, in the above example, 'tom' corresponds to 11, 'sam' corresponds to 57, and 'lily' corresponds to 100
Different from the table, the elements of the dictionary are not in order. You cannot reference elements via subscripts. Dictionaries are referenced by keys.
>>>print dic['tom'] >>>dic['tom'] = 30 >>>print dic
Build a new empty dictionary:
>>>dic = {} >>>print dic
Method to add a new element in the dictionary:
>>>dic['lilei'] = 99 >>>print dic
Here, we reference a new key and assign its corresponding value.
Loop call of dictionary elements
dic = {'lilei': 90, 'lily': 100, 'sam': 57, 'tom': 90} for key in dic: print dic[key]
In the loop, each key of the dict is extracted and assigned to the key variable.
Through the print results, we can confirm again that the elements in dic are not in order.
Common methods of dictionary
>>>print dic.keys() # 返回dic所有的键 >>>print dic.values() # 返回dic所有的值 >>>print dic.items() # 返回dic所有的元素(键值对) >>>dic.clear() # 清空dic,dict变为{}
There is also a very common usage:
>>>del dic['tom'] # 删除 dic 的‘tom’元素
del is a reserved keyword in Python, used to delete objects.
Similar to tables, you can use len() to query the total number of elements in the dictionary.
>>>print(len(dic))
Summary
Each element of the dictionary is a key-value pair. The elements are not ordered.
dic = {'tom':11, 'sam':57,'lily':100} dic['tom'] = 99 for key in dic: ... del, len()
The above is the content of Python advanced dictionary. For more related content, please pay attention to the PHP Chinese website (www.php.cn)!

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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