What python can do, what python can do

Updated on educate 2024-08-05
9 answers
  1. Anonymous users2024-02-15

    Python is widely used in development, data analysis, crawlers, automated operation and maintenance, artificial intelligence, big data, game development, etc. due to its concise syntax, simple use, and powerful functions.

    2. Do ** development, web application development, many famous ** like Zhihu and YouTube are written in Python.

    Many large-scale ** are developed with Python, such as YouTube, Instagram, and domestic Douban. Many large companies, including Google, Yahoo, etc., and even NASA (National Aeronautics and Space Administration) use Python heavily.

    4. System network operation and maintenance.

  2. Anonymous users2024-02-14

    There are many things that Python can do, such as: web development, web crawler, artificial intelligence, data analysis, automated operation and maintenance, automated testing, game development, etc.

  3. Anonymous users2024-02-13

    What are the uses of learning python? I summarize that it is mainly used in five major fields: web crawler, data processing, web services, data analysis, and artificial intelligence.

  4. Anonymous users2024-02-12

    The trendsetter in the Python programming language.

  5. Anonymous users2024-02-11

    Uses of python:

    As an object-oriented scripting language, Python's advantages are data processing and mining, which is destined to be closely related to AI and Internet technology.

    Web crawlers. As the name suggests, the script for crawling information from the Internet is mainly written by urllib, requests and other libraries, and it is very practical, and it has been written to crawl crawlers with 5W of data. In the era of big data, reptiles are definitely rookies.

    Artificial intelligence. AI made Python famous, and AI implementations can be made through the TensorFlow library. At the heart of a neural network is the activation function, the loss function, and the data, which can be obtained by crawlers.

    During training, a large amount of data is computed in python's show time.

  6. Anonymous users2024-02-10

    Python can mainly do work in the fields of web and Internet development, scientific computing and statistics, desktop interface development, software development, and back-end development.

    Python is an interpreted scripting language. Python can be applied to many fields, such as data analysis, component integration, web services, image processing, numerical computing, and scientific computing.

    Internet companies widely use Python to do things such as automated operation and maintenance, automated testing, big data analysis, crawlers, and the web.

  7. Anonymous users2024-02-09

    python can do:

    1. Web development;

    2. Data science research;

    3. Web crawlers;

    4. Embedded application development;

    5. Game development;

    6. Desktop application development. Python is a dynamic, object-oriented scripting language that is easy to learn, fast, and easy to maintain.

    Features of the Python language.

    1. Easy to learn.

    2. Fast speed: The bottom layer of Python is written in C, and many standard libraries and third-party libraries are also written in C, which runs very fast.

    3. Portability.

    4. Embeddable.

    5. Easy to maintain.

    6. Interactive mode: Interactive mode support, you can input the language of execution and get results from the terminal, interactive testing and debugging fragments.

  8. Anonymous users2024-02-08

    Python is widely used in data analysis, crawlers, automated operation and maintenance, development, game development, artificial intelligence, automated development and other fields due to its concise syntax, simple use and powerful functions.

    Python application areas.

  9. Anonymous users2024-02-07

    Python can contribute to many fields such as data development, and the specific role of python is as follows:

    1. It is used to write an automated programming language.

    2. For web and Internet development.

    3. It is used in scientific computing and statistics, artificial intelligence, education, desktop interface development and other fields.

    4. Used for software development and back-end development.

    5. For data science, including machine learning, data analysis, and data visualization.

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