flask怎么创建虚拟环境_在Windows OS中创建虚拟环境并在本地运行Flask应用程序

flask怎么创建虚拟环境

编程系统 (Programming, Systems)

什么是虚拟环境？ (What is a Virtual Environment?)

A virtual environment creates separate space for a project with its dependencies at a definite place. This environment is distinct to the specific project and doesn’t interfere with other project dependencies.

虚拟环境为项目创建了单独的空间，并在一定位置上具有依赖项。此环境与特定项目不同，并且不会干扰其他项目依赖项。

虚拟环境的优势？ (Advantages of Virtual Environment?)

A virtual environment creates it’s own dependencies and space instead of disturbing the local environment.

虚拟环境会创建自己的依赖关系和空间，而不会干扰本地环境。

After activating the virtual environment, it provides the facility to freeze the current state of the environment packages.

激活虚拟环境后，它提供了冻结环境软件包当前状态的工具。

Virtual Environment provides a facility to install any packages as well as notebooks.

虚拟环境提供了一种安装所有软件包和笔记本的功能。

动机 (Motivation)

Everybody might come across this term called Virtual Environment. For the people who work with multiple projects in the localhost. Due to the requirements of each project, there is more chance of jumbling all packages in the same localhost. This leads to the improper organization of all the packages and mixing up of all packages. This is a time-consuming process to debug the projects.

每个人都可能遇到称为虚拟环境的术语。对于在本地主机中处理多个项目的人员。由于每个项目的要求，更有可能在同一个本地主机中装满所有软件包。这导致所有包装的不正确组织和所有包装的混合。这是调试项目的耗时过程。

If you want to check and run the other’s project in your localhost. You need to install dependencies and packages related to the corresponding project. So, While working with multiple projects. It is better to create Virtual Environments instead of disturbing local environments and dependencies.

如果要在本地主机中检查并运行其他人的项目。您需要安装与相应项目相关的依赖项和软件包。因此，在处理多个项目时。最好创建虚拟环境，而不要打扰本地环境和依赖项。

In simple words, Let me give you an example :

简单来说，让我举一个例子：

So, You have created a flask app which is an interface of the Machine Learning model and website. You used scikit_learn package version 0.21.3 to create pickle files. Your friend asked you to check his/her project which is having the pickle files containing scikit_learn package version 0.23.1. To help your friend, you have installed all the requirements of that project and you helped your friend. But, The first project won’t work. Because you have installed some other versions of packages. So you need some time to re-install your packages and make your first project work. Instead of facing these types of issues, it’s better to create virtual environments while working with multiple projects.

因此，您创建了一个flask应用程序，它是机器学习模型和网站的接口。您使用scikit_learn软件包0.21.3版创建了pickle文件。您的朋友要求您检查他/她的项目，该项目的泡菜文件包含scikit_learn软件包版本0.23.1。为了帮助您的朋友，您已经安装了该项目的所有要求，并帮助了您的朋友。但是，第一个项目将无法正常工作。因为您已经安装了其他版本的软件包。因此，您需要一些时间来重新安装软件包并开始第一个项目的工作。最好不要在处理多个项目时创建虚拟环境，而要面对这些类型的问题。

入门 (Getting Started)

This article guides you to create a virtual environment and run your flask application in your localhost containing the Windows Operating system by using various methods:

本文指导您使用各种方法创建虚拟环境并在包含Windows操作系统的本地主机中运行flask应用程序：

Command prompt

命令提示符

Anaconda prompt

Anaconda提示

Ubuntu application

Ubuntu应用程序

使用命令提示符创建虚拟环境 (Create virtual Environment using Command prompt)

Installation of Python and pip :安装Python和pip：

Open the command prompt. Check your laptop is having Python as well as pip or not. Use the below commands to check them. you should write two hyphens as in the image. The latest version of python contains pip pre_installed only for older versions you need to install manually.

打开命令提示符。检查您的笔记本电脑是否具有Python和pip。使用以下命令进行检查。您应该像图片中那样写两个连字符 。最新版本的python包含pip pre_installed仅适用于您需要手动安装的旧版本。

python — version

python —版本

pip — version

点-版本

If you don’t have python in your computer download it here and add the path to the environment variables. If you don’t have pip installed in your computer download it here to a folder on your computer and save it with the same name “get-pip.py”. Open a command prompt and navigate to the folder containing the get-pip.py installer.

如果您的计算机中没有python，请在此处下载 python，然后将路径添加到环境变量中。如果您的计算机中未安装pip，请在此处将其下载到计算机上的文件夹中，并使用相同的名称“ get-pip.py”进行保存 。打开命令提示符，然后导航到包含get-pip.py安装程序的文件夹。

Run the following command:

运行以下命令：

python get-pip.py

python get-pip.py

2. Navigate to the directory contains the Flask application.

2.导航到包含Flask应用程序的目录。

Make sure that your flask folder containing all the files required to run on your laptop.

确保您的flask文件夹包含在笔记本电脑上运行所需的所有文件。

Use these commands to navigate the command prompt:

使用以下命令导航命令提示符：

To navigate one step back from the current path use:

要从当前路径向后退一步，请使用：

cd..

光盘..

To move into the folder from the current path use:

要从当前路径移入文件夹，请使用：

cd<space>[specified_folder]

cd <空格> [specified_folder]

This is the path of my flask app on my laptop.

这是我的烧瓶应用程序在笔记本电脑上的路径。

Using the above commands and navigate to the flask app folder.

使用以上命令并导航至flask应用程序文件夹。

( or )

( 要么 )

2. Clone the directory from GitHub.

2.从GitHub克隆目录。

If you don’t have Git installed in your Computer download it here. Clone the repository by using the following commands. On running the first command a folder is created(clone) in your specified path.

如果您的计算机中未安装Git，请在此处下载 。使用以下命令克隆存储库。在运行第一个命令时，将在您指定的路径中创建一个文件夹(克隆)。

git clone [link_of_repository]

git clone [link_of_repository]

cd [repository_name]

cd [repository_name]

3. Check the list of files in your flask app folder by using the following command:

3.使用以下命令检查flask应用程序文件夹中的文件列表：

dir

目录

4. Install Virtual environment in your folder by using the following command:

4.使用以下命令在您的文件夹中安装虚拟环境：

pip install virtualenv

pip安装virtualenv

5. Name your virtual environment by using the following command:

5.使用以下命令命名您的虚拟环境：

virtualenv [virtual_environment_name]

virtualenv [virtual_environment_name]

6. Navigate to your virtual environment folder and there you will see scripts folder.

6.导航到您的虚拟环境文件夹，您将在其中看到脚本文件夹。

That is the folder which contains all operations of Virtual environment and “activate” your venv by using the command:

该文件夹包含虚拟环境的所有操作，并使用以下命令“ 激活 ”您的虚拟电话：

activate

启用

You will see a name on the left side of the terminal in brackets. By this, A virtual environment is activated.

您将在终端的左侧方括号中看到一个名称。由此，激活了虚拟环境。

您的工作完成了... !!!