python

Python is an extremely popular and powerful high-level programming language. It is known for its clear and easy-to-understand syntax and strong readability. It is known as "the most suitable language for beginners to get started." It has a large and active open source ecosystem, covering almost all fields such as website development, data analysis, artificial intelligence, scientific computing and automated scripts. Whether it is large institutions such as Google and NASA, or individual developers, they all rely on Python to quickly build various applications, making it one of the most versatile and hottest programming tools in today's era. Friends who like python, come to Huajun Software Park to download and experience it!

python highlights

The syntax is concise and easy to read

Use indentation (rather than braces) to define code blocks to reduce redundant code and is suitable for beginners to get started quickly.

Cross-platform compatibility

Can run on Windows, macOS, Linux and other systems without modifying the code.

Dynamic types and interpreted types

There is no need to declare variable types, and the code is directly executed by the interpreter, which is suitable for rapid development.

python features

Rich standard library and third-party library

Standard library: Covers basic functions such as file operations, network requests, and regular expressions.

Third-party libraries: Install through the package management tool pip, for example:

Web development: Django, Flask

Data analysis: Pandas, NumPy

Machine learning: TensorFlow, PyTorch

Visualization: Matplotlib, Seaborn

Object-oriented and functional programming support

It supports object-oriented features such as classes, inheritance, and polymorphism, as well as functional programming paradigms such as lambda functions.

Active community and complete ecology

The global developer community contributes a large number of open source projects and has abundant problem-solving resources.

python function

Web development

Back-end framework: Django (full-featured framework), Flask (lightweight framework) to quickly build websites.

API development: Combine with FastAPI or Django REST Framework to develop RESTful API.

Data Analysis and Scientific Computing

Data processing: Pandas handles structured data and NumPy performs numerical calculations.

Visualization: Matplotlib/Seaborn for chart generation, Plotly for interactive visualization.

Statistical modeling: SciPy provides scientific computing tools and StatsModels performs statistical analysis.

Artificial Intelligence and Machine Learning

Deep learning: TensorFlow, PyTorch build neural networks.

Natural Language Processing (NLP): NLTK, spaCy process text data.

Computer Vision: OpenCV for image processing.

Automated scripts and operation and maintenance

Write scripts to automate file processing, send emails, and crawl data (such as the Scrapy framework).

System monitoring and log analysis (e.g. combined with Elasticsearch).

game development

Use the Pygame library to develop 2D games, or as a game logic scripting language (such as the Python plugin for Unity).

Embedded Development and Internet of Things (IoT)

MicroPython runs on microcontrollers and is suitable for IoT device development.

python FAQ

Virtual environment configuration

Problem: Different projects rely on library version conflicts.

Solution:

Create a virtual environment:

bash

python -m venv myenv # Create

source myenv/bin/activate # Activate (Linux/macOS)

myenvScriptsactivate # Activate (Windows)

Exit the virtual environment: deactivate

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