Recently I discovered this PYPL - Programming Language Popularity Index. It conducts a secondary exploration of popular indicators in various languages. The author points out that the TIOBE index may not reflect the real situation, blaming the names of some programming languages that can lead to misunderstandings. He introduced some new terms and used Google Trends to draw different conclusions.
Through the author's research, we can know that in the past ten years, the Python language has achieved the largest growth rate. From the picture, we can see its very beautiful linear growth in 10 years. Congratulations to the Python language!
The data in this chart is very interesting, and the lack of ups and downs is not a bad thing. It shows that there is a growing number of groups (from Java and PHP - a big tribe) who want to learn this language. Python is the only language that performs differently on this chart.
We all know that Python originated as a scripting language and was used for scientific computing. Now it is becoming increasingly popular and continues to penetrate into technical fields such as the Web and business. These technology areas are all backed by some big companies (Java, C#, C++) and have a lot of financial support. On the web, PHP and Ruby are also famous. Under such huge competitive pressure, it is very difficult for a new language to become popular. Python succeeded. To me, this is why Python is the language of the decade.
The above is the detailed content of Python is the king of computer languages. For more information, please follow other related articles on the PHP Chinese website!

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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