This tutorial explains how to install Python and libraries with Visual Studio. I will also show how to install libraries in the command prompt (CMD). Python is a very powerful language for machine learning as it has many libraries that can be used to help you develop great models for prediction.
D: Visual Studio Microsoft Visual Studio Shared Python3764 Scripts. 所以如果要下载第三方库，方法有两种： 第一种： 直接把上面的路径添加到环境变量里，这种方法一次到位，以后就可以直接在任何路径下使用pip命令了。步骤如下： 1. The Python developer community has produced thousands of useful packages that you can incorporate into your own projects. Visual Studio provides a UI to manage packages in your Python environments. Microsoft Visual C Redistributable for Visual Studio 2015, 2017 and 2019 Raspbian 9.0 or later GPU support requires a CUDA®-enabled card (Ubuntu and Windows) Note: Installing TensorFlow 2 requires a newer version of pip. You only have Path to pip.exe which in Scripts folder,and root Python is Python Visual studio version (mix up). 1 C: Users Joshu AppData Roaming Python Python36 Scripts For it to not use the Python Visual studio version,most also have path to root Python36 (Roaming).
Visual Studio Installer
Use Visual Studio Installer to install Python with Visual Studio. Modify your Visual Studio Version, check Python development and click on the Modify button. Python will be installed to “C:Program Files (x86)Microsoft Visual StudioShared”.
Add to path environment variable
Install Pandas Visual Studio
You need to add the path to the Python folder and to the Scripts folder in environment variables, if you want to be able to use Python and Pip (install libraries) from anywhere in the Command Prompt. It is also useful to add paths to directories as environment variables if other programs references these programs in code.
Search for environment variables and click on the Edit environment variables result. Add the Python directory (C:Program Files (x86)Microsoft Visual StudioSharedPython37_64) and the Scripts directory (C:Program Files (x86)Microsoft Visual StudioSharedPython37_64Scripts) as new rows in the Path variable.
You will need to browse to the Python folder in the Command Prompt to be able to execute python scripts if you don’t have added paths to environment variables.
You will need some libraries to be able to work with machine learning. You can install libraries with Pip from the command prompt or in Visual Studio. Some useful libraries is joblib, numpy, pandas, matplotlib, pytesseract, scipy, statsmodels, scikit-learn, tensorflow and Keras. You need to know that names of libraries is case sensitive. To use pytesseract you will also need to install Tesseract OCR and unpack poppler, you will also need to add the path to poppler and Tesseract OCR as environment variables.
Visual Studio Code Python Package Manager
Open the Command Prompt (CMD) as an administrator to install libraries with Pip. You can install specific versions of a library and uninstall libraries with Pip.
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You can also install, uninstall and upgrade Python libraries in Visual Studio. This is done inside Python Environments. Select Packages (PyPI) in the dropdown (Overview).
Test if libraries is installed
Create a new Python project in Visual Studio and add an Empty Python File to the project. Right click the new file and set it as Startup File. Add the following contents and run the script.