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Type "help", "copyright", "credits" or "license" for more information. 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. Open the Command Prompt (CMD) as an administrator to install libraries with Pip.
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Requirement already satisfied: numpy in c:\program files (x86)\microsoft visual studio\shared\python37_64\lib\site-packages (1.17.3)Ĭ:\WINDOWS\system32>pip install scipy=1.3.1 You can install specific versions of a library and uninstall libraries with Pip. #Install python in visual studio code 2017 install #Install python in visual studio code 2017 install.
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