Python basic syntax: understand what a function is in one article

what is function

In Python, a function is a reusable block of code that accepts input parameters, performs an operation, and returns an output result. Functions can accept any number of input parameters and return no output results. Functions can be defined anywhere in a program, including inside other functions. When a function is called, the program's control flow is transferred inside the function, the code in the function is executed, and then returned to the code location that called the function.

Function definitions in Python begin with the keyword def, followed by the function name and a parameter list enclosed in parentheses. There is usually a space between the def keyword and the function name. The function of the colon (:) is to indicate the end of the function header, thereby telling the interpreter that the following code is the function body, that is, the actual operation to be performed by the function. Function bodies must be indented, usually using four spaces or a tab. A function can return a value using the return keyword, or terminate the function directly without returning a value.

For example, here is an example of a simple Python function that adds two numbers and returns the result:

img

In this example, add_numbers is the function name, and x and y are the two parameters of the function. The function body contains a line of code that calculates the value of x+y and stores it in the result variable. Finally, the function returns the value of result using the keyword return.

Omnidirectional multi-angle perspective function

⒈A function is a reusable block of code

Functions make code more readable and easier to maintain than writing the same code over and over again.

Suppose we have a block of code that needs to be used multiple times in a program, such as calculating the square of a number. We can wrap this block of code using a function so that it can be reused as many times as needed.

Here is sample code for calculating a square with and without a function:

img

Advantages of using a functional approach: Using functions makes your code clearer and easier to maintain. If we need to calculate the square of multiple numbers, we just need to call the function multiple times. If we need to modify the code for calculating squares, such as changing multiplication to exponentiation, using a function only requires changing the code of the function, without modifying all places where the code block is called.

Disadvantages of not using functions: Without using functions, we need to copy and paste the same block of code multiple times, which leads to code duplication and difficulty in maintaining. If we need to modify the code that calculates squares, such as changing multiplication to exponentiation, without using functions we would need to modify it in every code block, which would be very tedious.

img

To sum up, functions are very useful reusable blocks of code that can improve code readability, maintainability, and scalability.

⒉The function can accept any number of parameters

And the type of parameters can be of any type, which makes the function very flexible and can be applied to various situations.

Here is an example of a function that accepts any number of arguments and adds them to calculate their sum. Among them, result1, result2 and result3 respectively correspond to receiving integer parameters, floating point parameters and the summation result of 5 integer parameters. When result4 corresponds to receiving two string parameters, since there are no numeric parameters, the returned result is 0.

img

We can call this function with different number and types of arguments. As you can see from this diagram, the function can accept different numbers and types of arguments and calculate the result correctly in each case. This makes the function very flexible and can be used to handle various types of data and can handle various amounts of data. Therefore, using functions can be a very useful solution when we need to write code that can handle various situations.

⒊How the function works

A function is a block of code that can be used repeatedly in a program. In Python, we define a function using def keyword and give it a name. (The naming rules for functions are the same as those for variables)

Functions usually accept some inputs (called parameters), process them, and return an output. Here is an example of a simple function, the function add_numbers takes two arguments a and b, adds them, and returns their sum. We can use this function to calculate the sum of different numbers.

img

In this example, when we call the add_numbers function, Python passes the input values ​​(arguments) to the function. The function performs the specified operation and returns the output. In this case, the function adds the two numbers entered and returns their sum. We can store the result in a variable for later use.

This is how functions work: you pass inputs to the function, operate on them, and return an output. Functions can be called multiple times and used to perform different operations. Using functions makes our code more modular and easier to maintain, as we can put related operations in a separate function and reuse them as many times as needed.

⒋How does the function convert input into output?

In Python, a function can perform some action by accepting one or more input parameters and return one or more output results. These input parameters can be of any data type (such as numbers, strings, lists, etc.) and can be converted or processed as needed.

Functions usually accept input parameters through a parameter list. Inside the function, you can use these parameters to perform some operations, such as performing mathematical calculations on them, string processing, list operations, etc. After performing these operations, the function can return one or more results using the return statement.

The following is a simple function example illustrating how to convert input parameters into output results:

img

In this example, we define a function called square that accepts a number x as an input argument. Inside the function, we square x and store the result in a variable called result. Finally, we return the result using the return statement.

We can square a number by calling this function:

>>> square(5)

25

In this example, we call the square function and pass in a parameter with a value of 5. The function does what we specified in the function definition and returns 5 squared, which is 25.

Therefore, the key to how a function transforms input into output lies in the operations inside the function. The function performs some operation with the input parameters and then returns the output results using the return statement. In this way, functions provide a common way to transform input into output and can be reused in multiple places in a program.

@[TOC]⒌Function structure and indentation rules.

In Python, the indentation rules for functions are very important because they define the scope of the function body and how it is executed. The function body must be indented to indicate that the block of code belongs to a function definition. Specifically, the indentation rules for Python functions are as follows:

  • The definition of a function must begin at the beginning of the line, indicated using the def keyword.
  • The def keyword must be followed by the function name and a pair of parentheses, which can contain the parameter list. And a colon (:) indicates the end of the function definition, and the following is the function body.
  • The code block of the function body must be indented, usually using four spaces as the indentation level. The first line after a function definition must be indented to indicate the beginning of the function body.
  • All statements within a function body must use the same indentation level. Indented statements are considered part of the function body.
  • When the function body ends, the indentation level must return to the indentation level of the function definition.

The following is a function example illustrating the function indentation rules:

img

In this example, we define a function called calculate_sum that accepts two parameters a and b. In the function body, we use these arguments to calculate their sum and store the result in a variable called sum. Finally, we return the result using the return statement.

In this function definition, all statements in the function body are indented one level, indicating that they are part of the function body. When the function body ends, the indentation level must return to the level of the function definition to indicate the end of the function.

In summary, the indentation rules for Python functions are very important because they define the scope of the function body and how it is executed. Properly indenting function bodies can help us write clearer code that is easier to read and maintain.

Okay, that’s it for this sharing. I hope this content can help you understand what a function is. If it is useful to you, please like and follow!

-END-


1. Introduction to Python

The following content is the basic knowledge necessary for all application directions of Python. If you want to do crawlers, data analysis or artificial intelligence, you must first learn them. Anything high-end is built on a primitive foundation. By laying a good foundation, the road ahead will be more stable.All information is available for free at the end of the article!!!

Include:

Computer Basics

Insert image description here

python basics

Insert image description here

Python introductory video episode 600:

Watch zero-based learning videos. Watching videos is the fastest and most effective way to learn. It is easy to get started by following the teacher's ideas in the video, from basic to in-depth.

2. Python crawler

As a popular direction, crawlers are a good choice whether you use them part-time or as an auxiliary skill to improve work efficiency.

Through crawler technology, relevant content can be collected, analyzed and selected to get the information we really need.

This information collection, analysis and integration work can be applied to a very wide range of areas. Whether it is life services, travel, financial investment, product market demand of various manufacturing industries, etc., crawler technology can be used to obtain more accurate and effective information. use.

Insert image description here

Python crawler video information

Insert image description here

3. Data analysis

The "Digital Transformation of China's Economy: Talent and Employment" report released by Tsinghua University School of Economics and Management shows that the data analysis talent gap is expected to reach 2.3 million in 2025.

With such a huge talent gap, data analysis is like a vast blue ocean! Starting salary of 10K is really commonplace.

Insert image description here

4. Database and ETL data warehouse

Enterprises need to regularly transfer cold data from the business database and store it in a warehouse dedicated to storing historical data. Each department can provide unified data services based on its own business characteristics. This warehouse is a data warehouse.

The traditional data warehouse integrated processing architecture is ETL. Using the capabilities of the ETL platform, E = extract data from the source database, L = clean the data (data that does not comply with the rules) and transform the table (perform different dimensions and granularity on the table according to business needs) degree, different business rules calculation and statistics), T=load the processed table to the data warehouse in increments, full quantities, and different times.

Insert image description here

5. Machine Learning

Machine learning is to learn from a part of the computer data, and then predict and judge other data.

The core of machine learning is "using algorithms to parse data, learn from it, and then make decisions or predictions about new data." That is to say, the computer uses the data obtained to derive a certain model, and then uses this model to make predictions. This process is somewhat similar to the human learning process. For example, after a person acquires certain experience, he or she can predict new problems.

Insert image description here

Machine learning materials:

Insert image description here

6. Advanced Python

From basic syntax content to many in-depth advanced knowledge points and understanding of programming language design, after studying here, you will basically understand all the knowledge points from entry to advanced python.

Insert image description here

At this point, you can basically meet the company's employment requirements. If you still don't know where to find interview materials and resume templates, I have compiled one here for you. It can really be said to be a systematic learning route for nannies and caregivers. .

Insert image description here
But learning programming does not happen overnight, but requires long-term persistence and training. In organizing this learning route, I hope to make progress together with everyone, and I can also review some technical points myself. Whether you are a newbie in programming or an experienced programmer who needs to advance, I believe everyone can gain something from it.

It doesn’t happen overnight, but requires long-term persistence and training. In organizing this learning route, I hope to make progress together with everyone, and I can also review some technical points myself. Whether you are a newbie in programming or an experienced programmer who needs to advance, I believe everyone can gain something from it.

Data collection

This complete version of Python learning materials has been uploaded to CSDN official. If you need it, you can click on the CSDN official certification WeChat card below to get it for free↓↓↓< a i=2>【Guaranteed 100% Free】

Insert image description here

Supongo que te gusta

Origin blog.csdn.net/weixin_49892805/article/details/135022008
Recomendado
Clasificación