Excellent Tips for Writing Clean Python Code
Let’s talk about some of the best tips for writing clean Python code!
Variable/Function Name
A very common question I often do is the naming of variables/functions, basically, If your variables/functions look like this:
var1 = 12 var2 = 'tom' var3 = 1234
It's easy to run into problems referencing these values, instead try doing it like this:
quantityofitems = 12 name = 'tom' totalcost = 1234
This makes it easy to remember /Referencing these variables/functions becomes easier.
Separate code chunks
Another great way to clean up your Python code is to separate code chunks, it helps to make the code look better even though the project functionality is the same Looks better:
quantityofitems = 12 name = 'tom' totalcost = 1234 print("总计 " + name + " 订单" + totalcost)
Even just printing them separately will make the code look clearer:
quantityofitems = 12 name = 'tom' totalcost = 1234 print("总计 " + name + " 订单" + totalcost)
Comments Comments Comments
Keeps the code tidy Another important method is to comment the code, most of the time my projects contain more comments than code (that's probably why I'm a bad programmer). Comments help keep your code tidy by explaining what those blocks of code do, but they can also double as separating different parts of your project.
quantityofitems = 12 name = 'tom' totalcost = 1234 print("总计" + name + "订单" + totalcost)
When we add comments, it can help explain what we are doing with our project:
#获取物品的数量 quantityofitems = 12 #客户名称 name = 'tom' #总订单成本 totalcost = 1234 #打印总订单 print("总计" + name + "订单是" + totalcost + "" + quantityofitems )
Using code formatters
Another great way to clean up your Python code is to use the Python Code Formatter, and while it's not perfect, it's still a great way to clean up your Python code! Check out the links below to learn more about these formatters:
https://www.toutiao.com/article/7211077147073495604/?log_from=7eb2b7c9a420e_1679108199569
Finally
These are some great tips for writing clean Python code, do you know any others?
The above is the detailed content of Excellent Tips for Writing Clean Python Code. For more information, please follow other related articles on the PHP Chinese website!

Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

AI Hentai Generator
Generate AI Hentai for free.

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Hot Topics



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.

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

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:

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 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.

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

MinIO Object Storage: High-performance deployment under CentOS system MinIO is a high-performance, distributed object storage system developed based on the Go language, compatible with AmazonS3. It supports a variety of client languages, including Java, Python, JavaScript, and Go. This article will briefly introduce the installation and compatibility of MinIO on CentOS systems. CentOS version compatibility MinIO has been verified on multiple CentOS versions, including but not limited to: CentOS7.9: Provides a complete installation guide covering cluster configuration, environment preparation, configuration file settings, disk partitioning, and MinI

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.
