What you can do with Python

Things you can do with Python are: 1. Perform general application programming; 2. Perform data science and machine learning; 3. Implement interoperability between different codes; 4. Work as an efficient code generator , used to drive the code generation system; 5. Quickly create everything from simple REST APIs to mature data-driven sites.

#The operating environment of this article: Windows 7 system, Dell G3 computer, python3.5.

The content of this article is to introduce what can be done using Python? It has certain reference value. Friends in need can refer to it. I hope it will be helpful to you.

The Python programming language can be applied to data science, machine learning, system automation, web and API development, etc.

The most basic usage examples of Python are scripting languages and automation languages. Python is more than just a replacement for shell scripts or batch files; it is also used to automate interactions with web browsers or application GUIs, or for system configuration and configuration in tools like Ansible and Salt. But scripting and automation are just the tip of the Python iceberg.

Let’s take a brief look atWhat can Python be used for?

1. Universal application programming using Python

You can use Python to create command line and cross-platform GUI applications and deploy them as Included executable file. Although Python does not have the native ability to generate standalone binaries from scripts, this can be achieved using third-party packages such as cx_Freeze and PyInstaller.

2. Using Python for data science and machine learning

Complex data analysis has become one of the fastest fields and one of the classic use cases of Python . Most libraries for data science or machine learning have Python interfaces, making the language the most popular high-level command interface for machine learning libraries and other numerical algorithms.

3. Web Services and REST APIs in Python

Python’s native libraries and third-party web frameworks provide quick and easy ways to create projects from a few lines of code Everything from a simple REST API to a full-blown data-driven site. The latest version of Python has strong support for asynchronous operations, allowing sites to handle tens of thousands of requests per second with the right library.

4. Metaprogramming and code generation in Python

In Python, everything in the language is an object, including Python modules and libraries themselves. This enables Python to work as an efficient code generator, enabling the writing of applications that manipulate their own functions and have the kind of extensibility that is difficult or impossible to achieve in other languages.

Python can also be used to drive code generation systems, such as LLVM, to efficiently create code in other languages.

5. "Glue code" in Python

Python is often described as a "glue language", meaning that it allows different codes (usually with C language interface library) for interoperability. Its application in data science and machine learning is just that, but it's just an incarnation of the overarching concept.

Summary:The above is the entire content of this article. I hope it will be helpful to everyone's learning and give everyone a preliminary understanding of Python.

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