search
HomeBackend DevelopmentPython TutorialWhat is the future of Python?

What is the future of Python?

May 14, 2019 am 10:39 AM
python

What is the future of Python? When you are learning this language, are you worried about not being able to find a satisfactory job in the future? In fact, every time you learn in life, you will eventually pass this skill and let you find a job that suits you.

Recommended courses: Python Tutorial.

What is the future of Python?

Perhaps at the moment, you spent money, regretted it, and did not learn knowledge, but after half a year, a year, or a few years later, for you, you I will definitely thank myself.

Recently, I wanted to make a web crawler. I heard that Python is very suitable, so I studied Python and found that this language is very useful and simple in parsing web pages, so I started. Learning about python.

Python is an object-oriented programming language with a powerful class library. Python has now surpassed Java to become people's favorite programming language. Compared with Java, Python is easier to understand, has free and open source code, Python is very portable, and many other advantages. Especially after the release of Python 3, Python has surpassed other languages.

The future prospects of learning Python are as follows:

One feature of the Python language is that it is not particularly powerful, but it can be used in many fields and is highly efficient. It’s terrible. Python is used in many areas. It is understood that not many people in China are learning Python. The recruitment and salary of Python are indeed very high. Now there are many large enterprises such as Tencent, Alibaba, Baidu, Sohu, Microsoft, Large Internet companies such as Google and Huawei hire Python developers with high salaries.

Python development direction:

WEB development - Django, the most popular Python web framework, Tornado framework that supports asynchronous high concurrency, short and concise flask, bottle, Django official The slogan defines Django as the framework for perfectionist with deadlines (roughly a high-efficiency web framework developed for perfectionists)

Network programming - Twisted network framework that supports high concurrency, asyncio introduced in py3 uses Asynchronous programming has become very simple

Crawler - In the field of crawlers, Python is almost dominant, Scrapy\Request\BeautifuSoap\urllib, etc., you can crawl whatever you want

Cloud computing-currently The most popular and well-known cloud computing framework is OpenStack. A large part of Python's current popularity is because of cloud computing

artificial intelligence-who will become the first development language in the era of AI and big data? This is an issue that needs no debate. If three years ago, Matlab, Scala, R, Java and Python still had their own opportunities and the situation was still unclear, then three years later, the trend has been very clear, especially after Facebook open sourced PyTorch two days ago, Python has become an AI The position of the top language of the times is basically established, and the suspense of the future is just who can secure the second spot.

Automated operation and maintenance - Ask every operation and maintenance personnel in China, what language must the operation and maintenance personnel know? I believe 10 people will give you the same answer. Its name is Python

Financial Analysis - I personally worked in the financial industry before. In 10 years, our company wrote many analysis programs and high-frequency trading software. It uses Python. So far, Python is the most used language in the fields of financial analysis and quantitative trading. Complex scientific operations, with the development of many program libraries such as NumPy, SciPy, Matplotlib, Enthought libraries, etc., make Python more and more suitable for scientific calculations and drawing high-quality 2D and 3D images. Compared with Matlab, the most popular commercial software in the field of scientific computing, Python is a general programming language and has a wider range of applications than the scripting language used by Matlab

Game development - in online game development Python also has many applications. Compared with Lua or C, Python has higher-level abstraction capabilities than Lua and can describe game business logic with less code. Compared with Lua, Python is more suitable as a Host language, that is, the entry point of the program is in Python That end would be better, and then use C/C to write some extensions when necessary. Python is very suitable for writing projects with more than 10,000 lines of code, and can well control the scale of online game projects within 100,000 lines of code. In addition, as far as I know, the well-known game "Civilization" is written in Python

After listing so many, you will find that Python is very good in almost every field mentioned above. This is a It is a full-stack language in the true sense. Even Java, the most widely used language in the world, is inferior to Python in many aspects! I still can't see any language that can achieve these results in so many fields at the same time.

-

The above is the detailed content of What is the future of Python?. For more information, please follow other related articles on the PHP Chinese website!

Statement
The content of this article is voluntarily contributed by netizens, and the copyright belongs to the original author. This site does not assume corresponding legal responsibility. If you find any content suspected of plagiarism or infringement, please contact admin@php.cn
Learning Python: Is 2 Hours of Daily Study Sufficient?Learning Python: Is 2 Hours of Daily Study Sufficient?Apr 18, 2025 am 12:22 AM

Is it enough to learn Python for two hours a day? It depends on your goals and learning methods. 1) Develop a clear learning plan, 2) Select appropriate learning resources and methods, 3) Practice and review and consolidate hands-on practice and review and consolidate, and you can gradually master the basic knowledge and advanced functions of Python during this period.

Python for Web Development: Key ApplicationsPython for Web Development: Key ApplicationsApr 18, 2025 am 12:20 AM

Key applications of Python in web development include the use of Django and Flask frameworks, API development, data analysis and visualization, machine learning and AI, and performance optimization. 1. Django and Flask framework: Django is suitable for rapid development of complex applications, and Flask is suitable for small or highly customized projects. 2. API development: Use Flask or DjangoRESTFramework to build RESTfulAPI. 3. Data analysis and visualization: Use Python to process data and display it through the web interface. 4. Machine Learning and AI: Python is used to build intelligent web applications. 5. Performance optimization: optimized through asynchronous programming, caching and code

Python vs. C  : Exploring Performance and EfficiencyPython vs. C : Exploring Performance and EfficiencyApr 18, 2025 am 12:20 AM

Python is better than C in development efficiency, but C is higher in execution performance. 1. Python's concise syntax and rich libraries improve development efficiency. 2.C's compilation-type characteristics and hardware control improve execution performance. When making a choice, you need to weigh the development speed and execution efficiency based on project needs.

Python in Action: Real-World ExamplesPython in Action: Real-World ExamplesApr 18, 2025 am 12:18 AM

Python's real-world applications include data analytics, web development, artificial intelligence and automation. 1) In data analysis, Python uses Pandas and Matplotlib to process and visualize data. 2) In web development, Django and Flask frameworks simplify the creation of web applications. 3) In the field of artificial intelligence, TensorFlow and PyTorch are used to build and train models. 4) In terms of automation, Python scripts can be used for tasks such as copying files.

Python's Main Uses: A Comprehensive OverviewPython's Main Uses: A Comprehensive OverviewApr 18, 2025 am 12:18 AM

Python is widely used in data science, web development and automation scripting fields. 1) In data science, Python simplifies data processing and analysis through libraries such as NumPy and Pandas. 2) In web development, the Django and Flask frameworks enable developers to quickly build applications. 3) In automated scripts, Python's simplicity and standard library make it ideal.

The Main Purpose of Python: Flexibility and Ease of UseThe Main Purpose of Python: Flexibility and Ease of UseApr 17, 2025 am 12:14 AM

Python's flexibility is reflected in multi-paradigm support and dynamic type systems, while ease of use comes from a simple syntax and rich standard library. 1. Flexibility: Supports object-oriented, functional and procedural programming, and dynamic type systems improve development efficiency. 2. Ease of use: The grammar is close to natural language, the standard library covers a wide range of functions, and simplifies the development process.

Python: The Power of Versatile ProgrammingPython: The Power of Versatile ProgrammingApr 17, 2025 am 12:09 AM

Python is highly favored for its simplicity and power, suitable for all needs from beginners to advanced developers. Its versatility is reflected in: 1) Easy to learn and use, simple syntax; 2) Rich libraries and frameworks, such as NumPy, Pandas, etc.; 3) Cross-platform support, which can be run on a variety of operating systems; 4) Suitable for scripting and automation tasks to improve work efficiency.

Learning Python in 2 Hours a Day: A Practical GuideLearning Python in 2 Hours a Day: A Practical GuideApr 17, 2025 am 12:05 AM

Yes, learn Python in two hours a day. 1. Develop a reasonable study plan, 2. Select the right learning resources, 3. Consolidate the knowledge learned through practice. These steps can help you master Python in a short time.

See all articles

Hot AI Tools

Undresser.AI Undress

Undresser.AI Undress

AI-powered app for creating realistic nude photos

AI Clothes Remover

AI Clothes Remover

Online AI tool for removing clothes from photos.

Undress AI Tool

Undress AI Tool

Undress images for free

Clothoff.io

Clothoff.io

AI clothes remover

AI Hentai Generator

AI Hentai Generator

Generate AI Hentai for free.

Hot Article

R.E.P.O. Energy Crystals Explained and What They Do (Yellow Crystal)
1 months agoBy尊渡假赌尊渡假赌尊渡假赌
R.E.P.O. Best Graphic Settings
1 months agoBy尊渡假赌尊渡假赌尊渡假赌
Will R.E.P.O. Have Crossplay?
1 months agoBy尊渡假赌尊渡假赌尊渡假赌

Hot Tools

VSCode Windows 64-bit Download

VSCode Windows 64-bit Download

A free and powerful IDE editor launched by Microsoft

MantisBT

MantisBT

Mantis is an easy-to-deploy web-based defect tracking tool designed to aid in product defect tracking. It requires PHP, MySQL and a web server. Check out our demo and hosting services.

ZendStudio 13.5.1 Mac

ZendStudio 13.5.1 Mac

Powerful PHP integrated development environment

Dreamweaver Mac version

Dreamweaver Mac version

Visual web development tools

MinGW - Minimalist GNU for Windows

MinGW - Minimalist GNU for Windows

This project is in the process of being migrated to osdn.net/projects/mingw, you can continue to follow us there. MinGW: A native Windows port of the GNU Compiler Collection (GCC), freely distributable import libraries and header files for building native Windows applications; includes extensions to the MSVC runtime to support C99 functionality. All MinGW software can run on 64-bit Windows platforms.