


Learn Python programming from scratch: master these codes and get started easily
Introduction to Python Programming: Master these codes and get started easily
Introduction:
Python, as a simple and easy-to-learn high-level programming language, is widely used in various Fields such as data analysis, artificial intelligence, web crawlers, etc. Learning Python programming is the first choice for many people because it has easy-to-read and understandable syntax and rich library support. This article aims to help beginners quickly get started with Python programming, explaining it through specific code examples.
1. Basic syntax
- Print output:
print("Hello, World!")
- Variable assignment:
name = "Alice" age = 20
- Conditional statement:
if age >= 18: print("成年人") else: print("未成年人")
- Loop statement:
for i in range(5): print(i)
2. Data type and data structure
- List (List) :
fruits = ["apple", "orange", "banana"] print(fruits[0]) # 输出:apple fruits.append("grape") # 添加元素
- Dictionary:
person = {"name": "Bob", "age": 25, "gender": "male"} print(person["age"]) # 输出:25 person["city"] = "New York" # 添加键值对
- Tuple:
point = (3, 4) x, y = point
- String operation:
s = "Hello, World!" print(s[0]) # 输出:H print(len(s)) # 输出:13 print(s.lower()) # 输出:hello, world!
3. Functions and modules
- Function definition and call:
def add(x, y): return x + y result = add(3, 4) print(result) # 输出:7
- Module reference and usage:
import math print(math.sqrt(16)) # 输出:4.0
4. File operations
- Open and read files:
file = open("example.txt", "r") contents = file.read() print(contents) file.close()
- Write files :
file = open("example.txt", "w") file.write("Hello, World!") file.close()
5. Exception handling
try: result = 10 / 0 except ZeroDivisionError: print("除数不能为零")
Conclusion:
This article introduces the basic syntax of Python programming, commonly used data types and data structures, the use of functions and modules, File operations and exception handling. These are essential knowledge for getting started with Python programming. By mastering these code examples, I believe you can easily get started with Python programming and use its powerful functions in practical applications. Keep learning and practicing, and you will continue to grow and progress in the world of Python!
The above is the detailed content of Learn Python programming from scratch: master these codes and get started easily. 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.
