If you install Anaconda as introduced in How to install Python for pharmaceutical company researchers, you can generally install the libraries used for scientific calculations. Some of the libraries and modules used in machine learning etc. are not yet installed. Therefore, install some additional libraries and modules using the command prompt. It is supposed to use Python3 series.
RDkit
It can handle structural information of compounds. https://www.rdkit.org/ To install, run the following command.
conda install -c rdkit rdkit
SQL Alchemy
You can perform database operations. https://www.sqlalchemy.org/ To install, run the following command.
conda install -c conda-forge sqlalchemy
TensorFlow
This is a library for deep learning. https://www.tensorflow.org/ To install, run the following command.
conda install -c conda-forge tensorflow
Keras
A library of neural networks running on TensorFlow. https://keras.io/ja/ To install, run the following command.
conda install -c conda-forge keras
OpenCV
A library that can be used for image analysis. https://opencv.org/ To install, run the following command.
conda install -c conda-forge opencv
Scrapy
It can be used when doing web scraping in earnest. https://scrapy.org/ To install, run the following command.
conda install -c conda-forge scrapy
Here, we explained how to install additional libraries and modules to be installed after installing Anaconda. You can find commands for installing libraries other than those mentioned here by searching Anaconda Cloud.
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