Table of Contents
Why choose Python" >Why choose Python
Applications of Python" >Applications of Python
Python version battle" >Python version battle
Home Backend Development Python Tutorial Life is short, learn Python

Life is short, learn Python

Jul 18, 2017 pm 05:51 PM
python

First of all, want to know the quality of a language, or why the programmer likes it (lying, the original programmer likes not a girlfriend?) Our first starts with the background of the language generation, such as: what he appeared in what he appeared in era, what problems it emerged to solve, etc. Of course, I am only making a comparison with other languages, and I will not discuss who is better or worse. Besides, there is no good or bad distinction between languages. Even if there are good and bad distinctions, it must be based on actual application scenarios, so we will not discuss this issue.

TIOBE recently announced the programming language index rankings for June 2017, with Python ranking fourth, which illustrates the popularity of Python.

June 2017 programming language ranking TOP20 list:

2017年6 月编程语言排行榜 TOP20 榜单

Why choose Python

1. Simple and easy to use
With the current popular Compared with programming languages ​​​​Java, C, C++, etc., to complete the same function, the code written in Python is shorter and the development efficiency is higher. This allows us to focus on solving the problem rather than figuring out the language itself. Moreover, Python's syntax is simple and easy to learn.

2. Cross-platform
Python is open source software and can be ported to different platforms, such as Windows, Linux, Macintosh, Solaris, etc. If a Python program does not use system-dependent features, it can run on different platforms without modification.

3. Rich libraries
In addition to providing a powerful standard library, Python also has a rich extension library. For example, NumPy, SciPy, matplotlib, etc., which perform data analysis and processing, provide great convenience for scientific research and therefore are increasingly used.

Applications of Python

Python is now used in Google search engines and NASA mission projects, Zhihu , Douban, Sohu, Tencent, etc. also use Python to implement related functional processing.

As the extension library provides more and more powerful functions, Python is more widely used. Especially with the release of Python numerical computing engines (such as NumPy and SciPy), Python has become the language of choice for computer science research, and is most typically used in the fields of artificial intelligence and machine learning. Therefore, some people say that Python is the future of artificial intelligence and machine learning.

Python version battle

The official Python website releases both Python 2.x and Python 3.x at the same time versions of different series and are incompatible with each other. So which version should you choose to learn Python?

When choosing a version, you must first consider clearly what your purpose is for learning Python, what aspects of development you plan to do, what extension libraries you need to use, and which versions these extension libraries support. Python, and then choose the appropriate version accordingly.

Generally speaking, there are more extension libraries that support Python 2.x, but Python 3.x is the general trend, and more and more extension libraries will support Python 3.x. If you are a beginner, choose Python 3.x.

The above is the detailed content of Life is short, learn Python. For more information, please follow other related articles on the PHP Chinese website!

Statement of this Website
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

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 ago By 尊渡假赌尊渡假赌尊渡假赌
R.E.P.O. Best Graphic Settings
1 months ago By 尊渡假赌尊渡假赌尊渡假赌
R.E.P.O. How to Fix Audio if You Can't Hear Anyone
1 months ago By 尊渡假赌尊渡假赌尊渡假赌
R.E.P.O. Chat Commands and How to Use Them
1 months ago By 尊渡假赌尊渡假赌尊渡假赌

Hot Tools

Notepad++7.3.1

Notepad++7.3.1

Easy-to-use and free code editor

SublimeText3 Chinese version

SublimeText3 Chinese version

Chinese version, very easy to use

Zend Studio 13.0.1

Zend Studio 13.0.1

Powerful PHP integrated development environment

Dreamweaver CS6

Dreamweaver CS6

Visual web development tools

SublimeText3 Mac version

SublimeText3 Mac version

God-level code editing software (SublimeText3)

PHP and Python: Code Examples and Comparison PHP and Python: Code Examples and Comparison Apr 15, 2025 am 12:07 AM

PHP and Python have their own advantages and disadvantages, and the choice depends on project needs and personal preferences. 1.PHP is suitable for rapid development and maintenance of large-scale web applications. 2. Python dominates the field of data science and machine learning.

How to train PyTorch model on CentOS How to train PyTorch model on CentOS Apr 14, 2025 pm 03:03 PM

Efficient training of PyTorch models on CentOS systems requires steps, and this article will provide detailed guides. 1. Environment preparation: Python and dependency installation: CentOS system usually preinstalls Python, but the version may be older. It is recommended to use yum or dnf to install Python 3 and upgrade pip: sudoyumupdatepython3 (or sudodnfupdatepython3), pip3install--upgradepip. CUDA and cuDNN (GPU acceleration): If you use NVIDIAGPU, you need to install CUDATool

How is the GPU support for PyTorch on CentOS How is the GPU support for PyTorch on CentOS Apr 14, 2025 pm 06:48 PM

Enable PyTorch GPU acceleration on CentOS system requires the installation of CUDA, cuDNN and GPU versions of PyTorch. The following steps will guide you through the process: CUDA and cuDNN installation determine CUDA version compatibility: Use the nvidia-smi command to view the CUDA version supported by your NVIDIA graphics card. For example, your MX450 graphics card may support CUDA11.1 or higher. Download and install CUDAToolkit: Visit the official website of NVIDIACUDAToolkit and download and install the corresponding version according to the highest CUDA version supported by your graphics card. Install cuDNN library:

Detailed explanation of docker principle Detailed explanation of docker principle Apr 14, 2025 pm 11:57 PM

Docker uses Linux kernel features to provide an efficient and isolated application running environment. Its working principle is as follows: 1. The mirror is used as a read-only template, which contains everything you need to run the application; 2. The Union File System (UnionFS) stacks multiple file systems, only storing the differences, saving space and speeding up; 3. The daemon manages the mirrors and containers, and the client uses them for interaction; 4. Namespaces and cgroups implement container isolation and resource limitations; 5. Multiple network modes support container interconnection. Only by understanding these core concepts can you better utilize Docker.

Python vs. JavaScript: Community, Libraries, and Resources Python vs. JavaScript: Community, Libraries, and Resources Apr 15, 2025 am 12:16 AM

Python and JavaScript have their own advantages and disadvantages in terms of community, libraries and resources. 1) The Python community is friendly and suitable for beginners, but the front-end development resources are not as rich as JavaScript. 2) Python is powerful in data science and machine learning libraries, while JavaScript is better in front-end development libraries and frameworks. 3) Both have rich learning resources, but Python is suitable for starting with official documents, while JavaScript is better with MDNWebDocs. The choice should be based on project needs and personal interests.

How to choose the PyTorch version under CentOS How to choose the PyTorch version under CentOS Apr 14, 2025 pm 02:51 PM

When selecting a PyTorch version under CentOS, the following key factors need to be considered: 1. CUDA version compatibility GPU support: If you have NVIDIA GPU and want to utilize GPU acceleration, you need to choose PyTorch that supports the corresponding CUDA version. You can view the CUDA version supported by running the nvidia-smi command. CPU version: If you don't have a GPU or don't want to use a GPU, you can choose a CPU version of PyTorch. 2. Python version PyTorch

How to operate distributed training of PyTorch on CentOS How to operate distributed training of PyTorch on CentOS Apr 14, 2025 pm 06:36 PM

PyTorch distributed training on CentOS system requires the following steps: PyTorch installation: The premise is that Python and pip are installed in CentOS system. Depending on your CUDA version, get the appropriate installation command from the PyTorch official website. For CPU-only training, you can use the following command: pipinstalltorchtorchvisiontorchaudio If you need GPU support, make sure that the corresponding version of CUDA and cuDNN are installed and use the corresponding PyTorch version for installation. Distributed environment configuration: Distributed training usually requires multiple machines or single-machine multiple GPUs. Place

How to install nginx in centos How to install nginx in centos Apr 14, 2025 pm 08:06 PM

CentOS Installing Nginx requires following the following steps: Installing dependencies such as development tools, pcre-devel, and openssl-devel. Download the Nginx source code package, unzip it and compile and install it, and specify the installation path as /usr/local/nginx. Create Nginx users and user groups and set permissions. Modify the configuration file nginx.conf, and configure the listening port and domain name/IP address. Start the Nginx service. Common errors need to be paid attention to, such as dependency issues, port conflicts, and configuration file errors. Performance optimization needs to be adjusted according to the specific situation, such as turning on cache and adjusting the number of worker processes.

See all articles