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How to package and deploy Python project in Flask

2025-01-16 Update From: SLTechnology News&Howtos shulou NAV: SLTechnology News&Howtos > Internet Technology >

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In this issue, the editor will bring you about how to package and deploy Python projects in Flask. The article is rich in content and analyzes and describes for you from a professional point of view. I hope you can get something after reading this article.

1. Background

The corporate algorithm is written by python. Because the project calls the python algorithm remotely, when the project is deployed, the python project is packaged and deployed to the server at the same time. Since the current leader has not given me the server address, I will play with it locally with mac first.

2. Install ① in python environment. Download the installation package

Https://www.python.org/downloads/release/python-374/

two。 Installation

This step is all stupid installation. Continue directly, and then open the command line and type python, which is not the correct version. Entering python3 is the version that has just been installed. Here, mac comes with python.

Enter open ~ / .bash_profile from the command line

The configuration in the file is as follows

Export PATH=$ {PATH}: / Library/Frameworks/Python.framework/Versions/3.7/binalias python= "/ Library/Frameworks/Python.framework/Versions/3.7/bin/python3.7"

Finally, enter source ~ / .bash_profile to take effect

3. Project dependent package installation

Since the project relies on a lot of third-party packages, download and install pyinstaller

Pip3 install pyinstaller

Install flask

Pip3 install-I https://pypi.tuna.tsinghua.edu.cn/simple/ flask

Install pandas

Pip3 install-I https://pypi.tuna.tsinghua.edu.cn/simple/ pandas

Install matplotlib

Pip3 install-I https://pypi.tuna.tsinghua.edu.cn/simple/ matplotlib

Finally install sklearn

Pip3 install-I https://pypi.tuna.tsinghua.edu.cn/simple/ sklearn

4. Flask package

Execute the pyinstaller-F main.py command in the sibling directory of the main.py file, and see successfully. After that, it means complete. At the same time, the following files are generated

The above is how to package and deploy the Python project in the Flask shared by the editor. If you happen to have similar doubts, you might as well refer to the above analysis to understand. If you want to know more about it, you are welcome to follow the industry information channel.

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