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HomeDevelopment ToolsgitHow to save a string of numbers in gitee

In modern software development, code version control is an indispensable tool. Git is currently one of the most popular distributed version control systems and is widely used in team collaboration, code management and project iteration. In addition to regular source code management, Git can also be used to save and manage other forms of files, such as text documents, pictures, audio and video files, etc.

Git has good support for the preservation and management of digital data, including saving digital data as plain text files, saving digital data as binary files, embedding digital data into code files, and so on. In this article, we will focus on how to save a string of numbers on Gitee, a Chinese code hosting platform similar to GitHub.

Step one: Create a Gitee account and create a new warehouse

First, you need to create a Gitee account. If you already have a Gitee account, please skip this step. After registering a Gitee account, you need to create a new warehouse.

On the homepage of the Gitee website, click the "New Warehouse" button to enter the new warehouse page. On this page, you need to fill in the name, description, access rights and other information of the warehouse. The warehouse name should be as concise and easy to identify as possible. You can use numbers, letters, underscores and other symbols. Access permissions can be set to public or private.

Step 2: Upload digital data files

Uploading digital data files is a key step in saving digital data to Gitee. There are two ways to upload digital data files: uploading files through the command line Git tool and uploading files through the Gitee website. In this article, we will introduce how to upload digital data files through the Gitee website.

In the new warehouse page, find the "File Management" tab and click to enter the file management page. In this page, you can see the files and directories that already exist in the warehouse. If it is a new warehouse, this page should be empty. In the upper right corner of the page, there is an "Upload File" button. Click this button, select the directory where the digital data file you need to upload is located, select the file, and then click the "Submit" button. After successful submission, you can see the digital data file appear in the file list.

Step 3: Reference the numeric data in the code

After saving the numeric data in Gitee, you can reference it in the code. In this article, we will introduce how to reference digital data files on Gitee in Python code.

Suppose the digital data file you saved is named "data.txt" and the file contains a series of comma-separated numbers. You can read the file using the following code in Python code:

import urllib.request

url = 'https://gitee.com/YourUserName/YourRepository/raw/master/data.txt'
data = urllib.request.urlopen(url).read().decode()

In this code, you need to replace "YourUserName" and "YourRepository" with your Gitee username and repository name respectively. The "url" variable in the code is the URL address pointing to the digital data file on Gitee. You can then process "data" like a text file and extract the numbers.

If the numeric data file you saved is not a text file but binary data, you can read the file using a similar code:

import urllib.request
import numpy as np

url = 'https://gitee.com/YourUserName/YourRepository/raw/master/data.npy'
data = np.load(urllib.request.urlopen(url))

In this code, we used the NumPy library to read binary data files. Likewise, you need to replace "YourUserName" and "YourRepository" with your Gitee username and repository name respectively. The "url" variable in the code is the URL address pointing to the digital data file on Gitee. Next, you can process "data" like binary data.

Summary

Saving digital data in Gitee is a very convenient method, which not only allows you to perform version control, but also allows you to share data with team members. In this article, we introduce how to upload digital data files on Gitee and how to reference these data files in Python code. In practical applications, you can choose a suitable method to save and manage digital data according to your needs.

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