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Source: People’s Daily Online-Viewpoint Channel Original Draft

On November 17th, in the second round of the 2022 Chinese Football Association Cup, the Chinese champion team Jingchuan Wenhui eliminated the Chinese Super League team Beijing Guoan 7:5 in a penalty shootout and advanced to the top 16. This game surprised many people. Losing to a semi-professional team as a traditional strong team in the Super League may be caused by various reasons, but it also made many people know more about the current situation of football in China and look forward to the development of grass-roots football.

The FA Cup is an independent knockout cup outside the football league in China, and it is also the only opportunity for low-level teams and high-level teams to compete together. Jingchuan Wenhui eliminated Beijing Guoan from penalty. Although there were accidental factors, from the process of 2:2 draw in regular time, the strength of the two teams was close, and Jingchuan Wenhui team even got the upper hand slightly. Two goals were remarkable. The players on the field were thunderous, calm and confident, and had a degree of attack and defense. In a game in which the strength is very different and there is no suspense, the audience felt the long-lost charm of competitive football.

Aside from the mobilization, cohesion and team fighting capacity before the game, we can find details that are easily covered up by victory from the voice of the head of Jingchuan Wenhui after the game. Jingchuan Wenhui said that the main reason for winning the game was that the opponent was negligent and could not use foreign aid. He attributed the opponent’s defeat to accidental factors and external uncontrollable rules. Compared with the simple ceremony of "accepting and accepting", he was polite, modest and humble, which was quite the bearing and pattern of Chinese traditional culture. Brutalizing its physique, civilizing its spirit, an unexpected game, let us see the momentum and indomitable feelings of grassroots football.

Football is round. The competitive characteristics and rules of the game make football not only have the integrity, antagonism and appreciation shared by collective ball games, but also have the variability of technical and tactical coordination and the contingency of game results.

"The prime minister must start from the state department, and the fierce generals must be sent to the pawn." According to the results of post-match interviews and data disclosure, there are 152 players in Jingchuan Wenhui Football Club, more than 70 of whom are local doctors, policemen, teachers and other amateurs from all walks of life, and 40% of the players participating in the FA Cup are semi-professional players. Jingchuan Wenhui Club is integrated with Beihai Jichi Club, co-built and shared with Jingchuan County key amateur sports schools, and has a champion team, an U19 echelon, an U17 echelon and an amateur team, which reflects the effectiveness of Jingchuan County Football Association reform. The development of grass-roots football in Jingchuan presents a good trend, which is not only the component of football professionalization reform, but also supported by the three-level training network of competitive sports national system, and the association, sports school and club cooperate and form a joint force. The deepening reform and practice of county-level individual associations, the development of county-level football clubs and the modernization process of amateur sports schools are all key and difficult points in the construction of a strong sports country and the development of grass-roots sports organizations. For the government and an effective market, it may be the internal logic of the wonderful performance of this grassroots counterattack.

If the road is long, the line will come, but it is difficult and more brave. We expect the society to pay more attention and support to grass-roots football, and we expect that the sports lifestyle with football as the carrier can meet the needs of more people for a better life!

Problem description:

Suppose there is a 10-kilometer-long runway, and two athletes start from the same starting point at the same time. One athlete has a speed of 15 kilometers per hour and the other athlete has a speed of 20 kilometers per hour. So when and where did the two athletes meet?

Problem solving process:

First of all, you need to know that the condition for two athletes to meet is that they run the same distance and have the same time. Therefore, we can solve it by setting variables and listing equations.

Suppose one of the athletes runs for x hours, then the distance he runs is 15x kilometers; The other runner ran 20(x-0.5) kilometers, because he was faster than the first runner, so he ran 0.5 hours less. Because they run the same distance, the following equation can be obtained:

15x=20(x?0.5)

After simplification, you can get:

Therefore, the two athletes will meet in two hours. The location where they met can be obtained by substituting the formula:

15x=30

Therefore, the two athletes will meet 6 kilometers before the 10-kilometer finish line.

Analysis:

This problem needs to be applied to basic kinematics knowledge, such as the relationship between speed, time and distance. By setting variables, listing equations and solving them, the answer to the question can be obtained.

In addition, this problem can also be solved from a more intuitive perspective. The distance difference between the two athletes is 5 kilometers per hour, that is, the first athlete can only walk 5 kilometers per hour. Because they started in the same position, when the second athlete caught up with the first athlete, the first athlete actually only walked half of the 10 kilometers, that is, 5 kilometers. Therefore, the two athletes will meet at the sixth kilometer, half of the 10 kilometers before the finish line.

In a word, although this problem looks simple, it contains profound physical significance and practical application.

Author | Rizel Scarlett

Translator | Bian An Editor | Wang Ziyu

Produced by | csdn (ID: csdnnews)

What programming language can continue to be popular 30 years after its birth?

If you can think of Python, congratulations, that’s right. In the October 2022 report, we found that Python is still the second most commonly used programming language on GitHub. Interestingly, the usage of Python increased by more than 22% year-on-year. In 2022, more than 4 million developers on GitHub were using it.

In this paper, we will introduce the history, characteristics and usage of Python in depth, and try to answer why the programming language conceived in the 1980s can continue to dominate the development. In addition, we will provide some useful tips and techniques for experienced Python developers.

What is Python?

Python is a high-level interpretable programming language, and its syntax is very simple, which makes it easy to read and very friendly to users and beginners. Python was originally built to satisfy the author Guido Van Rossum’s desire to design a simple and beautiful programming language. It was first released to the world in 1991.

Interestingly, this programming language, which originally wanted to express "beauty", chose the word Python as its name, which was related to a TV comedy "Monty Python’s Flying Circus in monty python" which was first broadcast in the 1970s in Britain.

Python language has been widely used in developers, data scientists, researchers and other fields since its birth. You may ask, where do you see that Python is simple and beautiful? Let’s make a comparison:

Usually, as an introductory example, every little white who studies programming will write this case:

Python

And if you use Java, you will have to write many more lines:

Java

Because Python is a universal language, it can be used in various applications, and its simplicity makes it an excellent language for automating tasks, building websites or software and analyzing data. Python has several other features that make it very popular among developers and engineers. These include:

Easy to read:

Python code uses English keywords instead of punctuation, and its line breaks help define code blocks. This means that you can easily understand the design purpose of the code by looking at the code;

Open source code:

You can download the source code, modify it, and use it at will;

Cross platform:

Some languages require you to modify the code to adapt to different platforms, but Python, as a cross-platform language, can run the same code on any operating system as long as it has a Python interpreter installed.

It is extensible:

Python code can be written in other languages (such as C++), and users can add low-level modules in Python interpreters to customize and optimize their tools.

Has a powerful standard library:

This library can be accessed by anyone, which means that users don’t have to write code for each function, but access the built-in modules to help solve problems in daily programming.

What is Python usually used for?

Python can be used for almost anything, from network and software development to machine learning and artificial intelligence (AI). Let’s look at one of the most common use cases.

If you run it, you will see some jokes, which Python engineers usually use to laugh when they are bored.

Anyway, let’s introduce the current situation of Python from some fields:

1.Web and software development field

Python is a popular language for Web and software development, because you can create complex multi-protocol applications on the basis of ensuring concise and readable code. In fact, some of the most popular applications are built in Python. In addition, Python’s open source community provides developers with a lot of reusable code, frameworks and support. Django, for example, is one of the most commonly used Python frameworks designed by a group of experienced developers, aiming to help others develop applications efficiently and solve some common problems that may hinder them from advancing the project.

2. Task automation

An important advantage of using Python is that it can automatically perform some streamlined or repetitive tasks. With Python, you can learn how to automate anything by using built-in modules or pre-written code from its robust library. Or you can write your own custom scripts to perform specific operations. For example, you can easily send an email automatically using the "smtplib" module or copy a file using the "shutil" module. Python also has a set of robust test frameworks, which makes it an excellent language for test automation. Frameworks like Pytest, Behave and Robot allow developers to write simple and effective tests to ensure the quality of their construction.

3. Machine learning and big data

Here is an interesting fact: Python is the preferred language for data science and research. Because its syntax is easy to understand and adaptable, people with little development experience can easily learn Python and use it to manipulate data for research, reporting, prediction or regression analysis. Collecting and analyzing data is a time-consuming task for data scientists. Python, as one of the main languages for training machine learning (ML) models, can analyze and identify the features in these model data through specific algorithms, so as to make predictions or decisions based on these data. It can also be continuously optimized and adjusted based on previous data sets to cope with new variables. Data scientists and developers who train ML models often use some libraries, such as NumPy, Pandas and Matplotlib, to complete automatic data cleaning, transformation and visualization.

4. Financial or financial analysis

Similar to how Python helps data scientists deal with large data sets, Python is widely used in the financial industry to quickly perform complex calculations. The stock market will produce a lot of data, Python can be used to import data about stock prices, and identify trading opportunities through algorithm generation strategies. The language can also be used for portfolio optimization, risk management, financial modeling and visualization, cryptocurrency analysis and even fraud detection.

5. Artificial intelligence

Python can also be used in some of the most complex artificial intelligence (AI) technologies, and it is actually one of the preferred languages for AI. Python’s concise and readable code allows developers to create consistent and reliable systems. Its huge library provides many frameworks like PyBrain, which provides developers with powerful algorithms for machine learning tasks. In addition, the visualization function of Python can help transform these large data sets of AI or ML into understandable graphs or reports. Interestingly, OpenAI, an artificial intelligence research laboratory, uses Python framework Pytorch as their standard framework for deep learning and is used to train its artificial intelligence system.

Why is Python so popular?

Apart from relatively simple learning, there are other reasons why Python continues to be popular. Including:

High production efficiency:

Compared with other more complex programming languages such as C++, Python’s syntax allows users to do more things in less time and reduces the time and effort to write the same line of code.

It has a broad and supportive user community:

Even the best developers will encounter problems, and the user community has become a valuable resource gathering place. Python has a huge community that provides documentation, tutorials, tips and tricks to master the language. For example, the Python community on GitHub provides everything from the latest version of the language to Bug reports and update instructions.

Education recognized:

Python has become the preferred programming language in education, and some students even met Python in primary school. Believe it or not, there are some children’s picture books specially written for Python. Although students majoring in computer science are often taught Python, its use has already gone beyond a single discipline and extended to other fields of STEM and academic research. For example, Python can be used to solve differential equations, perform statistical analysis, simulate and track particle diffusion, and so on.

It has a high enterprise demand:

Because of its wide applicability in development and data analysis, learning and understanding Python is generally considered as a necessary skill for job seekers. According to the situation of well-known recruitment agencies, Python language is the third programming language for global recruiters in 2022.

Python is everywhere, and it has been widely used to build a large number of technologies, websites and even systems that most people encounter every day. The technology it provides, from your favorite video streaming service to machine learning algorithms, even helps you to conduct cryptocurrency transactions. To give a broader example, NASA is also using Python to analyze the data of the complex James Webb space telescope, which makes it one of the few programming languages used in projects outside the world.