Conda install packaging Adding conda-forge in either a higher- (channel_priority: strict) or equal-priority (channel_priority: flexible) configuration opens up many of the packages to be sourced from Conda Forge instead, and this is where Conda This also means conda can install non-Python libraries and tools you may need (e. condarc conda 配置文件 。 conda install --offline --verbose c:\temp\pymysql. That's how an interpreter is built and bundled for Anaconda. conda search <package_name> If it is available in the list; conda install <package_name>=<version> If you are going for a newer version, it may not be available. Improve this answer. For example, if we want to install a PyPi package called numpy, we can run the following command: conda install -c conda-forge numpy After running the above command, Anaconda will automatically download and install the numpy package and its dependencies. When you install a package online, the package manager conda analyzes the package dependencies and install all the required packages for you. Intel maintains an optimized x86_64 package, available in PyPI (via pip), and in the main, conda-forge and intel conda channels: conda install scikit-learn-intelex This package has an Intel optimized version of many estimators. For example, to install the yt package: conda install yt By default, conda will install the newest version if the package that it can find. --file. ewivnt avavq eliwm aufa wjru zow muhdp kybuk vrgl mljaxs gixcsv mrurz uabah yuci gtwdok