To do this, I’m going to use Amazon Web Services (AWS) to create a virtual machine and run the Python script on it!
Step 1: Launch an EC2 Instance
1. Login to AWS Console:
- Go to the AWS Management Console.
- Select EC2.
2. Launch a New EC2 Instance:
- Click Launch Instance.
- Choose an Amazon Machine Image → Ubuntu Server.
- Select the instance type, e.g., t2.micro (for free tier).
- Configure all the settings (accept defaults or customize).
- Under Key Pair, either create a new key pair or select an existing one. Download the .pem file (important for accessing later!).
- Launch the instance.
3. Get Public DNS of the Instance:
- In the EC2 Dashboard, go to Instances.
- Select your instance and find the Public DNS (IPv4) address.
- Should look like this: ec2-XX-XX-XXX-XXX.compute-1.amazonaws.com.
Step 2: Connect to EC2 Instance
1. Open Terminal on Your Local Machine:
- Navigate to your AWS folder:
cd C:\Users\Path\to\AWS
Your key.pem file and other related files should be here.
2. SSH into EC2 Instance:
- Use the public DNS or IP address from your EC2 instance:
cd C:\Users\Path\to\AWS
- When asked if you trust the connection, type yes to continue.
Step 3: Install Dependencies
1. Update Package Lists:
- Run the following to ensure your package lists are up to date:
ssh -i key.pem ubuntu@ec2-XX-XX-XXX-XXX.compute-1.amazonaws.com
2. Install Python and Pip on EC2 Instance:
- Install Python 3 and the necessary packages:
sudo apt update
3. Install Other Packages (Optional):
- If you want to install other packages or use a virtual environment, you can do that now.
Installing Selenium:
sudo apt install python3 python3-pip
Installing Chromium and ChromeDriver (for Selenium):
pip install selenium
- Create a symlink to make ChromeDriver accessible globally:
sudo apt install chromium-browser sudo apt install chromedriver
Step 4: Transfer Files from Local Machine to EC2
Use SCP to Transfer Files:
- On your local machine, navigate to the directory where your main.py or code is located.
- Use scp (SecureCopy) to copy files to your EC2 instance:
sudo ln -s /usr/lib/chromium-browser/chromedriver /usr/bin/chromedriver
- Ensure that you are in the correct directory where your files are located (see step 2.1).
Step 5: Run the Script on EC2
1. SSH Into Your EC2 Instance (if not already connected):
scp -i key.pem main.py ec2-XX-XX-XXX-XXX.compute-1.amazonaws.com:/home/ubuntu/your_project/
2. Navigate to the Project Directory:
ssh -i key.pem ubuntu@ec2-XX-XX-XXX-XXX.compute-1.amazonaws.com
3. Run the Python Script:
cd /home/ubuntu/your_project
Step 6: Stop EC2 Instance
Once you’re done with your EC2 instance, stop it to avoid unnecessary charges:
- Go to EC2 Dashboard in AWS.
- Select your instance.
- Click Actions → Instance State → Terminate Instance.
The above is the detailed content of How to run Python in the Cloud. For more information, please follow other related articles on the PHP Chinese website!

This tutorial demonstrates how to use Python to process the statistical concept of Zipf's law and demonstrates the efficiency of Python's reading and sorting large text files when processing the law. You may be wondering what the term Zipf distribution means. To understand this term, we first need to define Zipf's law. Don't worry, I'll try to simplify the instructions. Zipf's Law Zipf's law simply means: in a large natural language corpus, the most frequently occurring words appear about twice as frequently as the second frequent words, three times as the third frequent words, four times as the fourth frequent words, and so on. Let's look at an example. If you look at the Brown corpus in American English, you will notice that the most frequent word is "th

This article explains how to use Beautiful Soup, a Python library, to parse HTML. It details common methods like find(), find_all(), select(), and get_text() for data extraction, handling of diverse HTML structures and errors, and alternatives (Sel

Dealing with noisy images is a common problem, especially with mobile phone or low-resolution camera photos. This tutorial explores image filtering techniques in Python using OpenCV to tackle this issue. Image Filtering: A Powerful Tool Image filter

This article compares TensorFlow and PyTorch for deep learning. It details the steps involved: data preparation, model building, training, evaluation, and deployment. Key differences between the frameworks, particularly regarding computational grap

Python, a favorite for data science and processing, offers a rich ecosystem for high-performance computing. However, parallel programming in Python presents unique challenges. This tutorial explores these challenges, focusing on the Global Interprete

This tutorial demonstrates creating a custom pipeline data structure in Python 3, leveraging classes and operator overloading for enhanced functionality. The pipeline's flexibility lies in its ability to apply a series of functions to a data set, ge

Serialization and deserialization of Python objects are key aspects of any non-trivial program. If you save something to a Python file, you do object serialization and deserialization if you read the configuration file, or if you respond to an HTTP request. In a sense, serialization and deserialization are the most boring things in the world. Who cares about all these formats and protocols? You want to persist or stream some Python objects and retrieve them in full at a later time. This is a great way to see the world on a conceptual level. However, on a practical level, the serialization scheme, format or protocol you choose may determine the speed, security, freedom of maintenance status, and other aspects of the program

Python's statistics module provides powerful data statistical analysis capabilities to help us quickly understand the overall characteristics of data, such as biostatistics and business analysis. Instead of looking at data points one by one, just look at statistics such as mean or variance to discover trends and features in the original data that may be ignored, and compare large datasets more easily and effectively. This tutorial will explain how to calculate the mean and measure the degree of dispersion of the dataset. Unless otherwise stated, all functions in this module support the calculation of the mean() function instead of simply summing the average. Floating point numbers can also be used. import random import statistics from fracti


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

mPDF
mPDF is a PHP library that can generate PDF files from UTF-8 encoded HTML. The original author, Ian Back, wrote mPDF to output PDF files "on the fly" from his website and handle different languages. It is slower than original scripts like HTML2FPDF and produces larger files when using Unicode fonts, but supports CSS styles etc. and has a lot of enhancements. Supports almost all languages, including RTL (Arabic and Hebrew) and CJK (Chinese, Japanese and Korean). Supports nested block-level elements (such as P, DIV),

SublimeText3 English version
Recommended: Win version, supports code prompts!

Dreamweaver Mac version
Visual web development tools

Atom editor mac version download
The most popular open source editor

Zend Studio 13.0.1
Powerful PHP integrated development environment
