What is the hottest programming language now? Of course it is-Python. Did you know? Even primary school students are starting to learn Python now.
Python has also been making rapid progress in the programming language rankings, jumping to the fourth position. Now besides the old Java, C and C, who else can compete with Python? For example, with the continuous efforts of the masters, Python can now do almost everything, build webs, make crawlers, and engage in AI. Moreover, Python has many libraries, so Python development efficiency is extremely high. In addition, Python can also be used with other languages. A good joint development of two languages (commonly known as the "glue language"), Python is simply an invincible, omnipotent and perfect language style, right?
So will Python surpass Java in the future?
Won't. (Recommended learning: Python video tutorial)
Python is still several blocks away from true perfection? Why do you say that?
First of all, Python does not have an advantage in execution efficiency. Since Python is an interpreted dynamic type language, it is inherently slower in execution speed. Needless to say, it cannot compare with C, and it does not have an advantage even when compared with Java, which has always been weak in speed. This limits the possibility of using Python on some projects that require high execution efficiency.
Secondly, in terms of cross-platform, Python does not have an advantage over Java. Now JVM supports almost all available platforms, and quite a few platforms come with their own JVM. , so Java programs can be used directly on the platform where the JVM is installed, while Python requires a compiler to convert the code written in Python into the code of the specified operating system before it can be used.
Finally, the characteristics of Python determine that it is currently not very suitable for the development and maintenance of large projects. If the first two points may be improved to some extent with the development of Python, then Python is naturally lacking in maintainability. Many people who are new to Python find it very enjoyable to write programs in Python. In the past, when writing codes in C, C and Java, they always felt that they were subject to various constraints. For example, variables must be defined before they can be used, only one variable can be assigned a value at a time, and parameters return values. There can only be one. . . . , but in Python, these are not problems, you can write whatever you want, as if you suddenly took off the shackles and handcuffs when dancing.
However, It is precisely because Python is too free that Python programs have poor maintainability when writing large programs. Java is much better at this point, because Java encourages structurally standardized interface design and concise code relationships, coupled with Dependency Injection, making Java code highly reusable. There is no concept of interface in Python, which results in the lack of precise design of all classes when writing. In addition, new members can be added dynamically, which makes code reuse quite difficult.
So, Python does have quite a few advantages. In addition to some of its own excellent features, its rise also happens to catch up with the current development of technologies such as big data and artificial intelligence. This makes Python’s advantages be It has been enlarged a lot. Of course, it is undeniable that Python still has very good development prospects in the future, but if it can replace Java and reach the top, I am afraid there is still a long way to go.
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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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