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“As someone who uses both Anaconda and Z by HP, having these two integrated together in the preloaded software stack is very exciting for those looking to get into the field, and I can’t wait to see how this collaboration further expands its resources for data scientists,” said Ken Jee, head of data science at Scouts Consulting Group and Z by HP Ambassador.
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With GPU acceleration for data scientists, Z by HP provides the necessary computing power, while Anacondas’s curated repositories, trusted by more than 25M users worldwide, make accessing key packages and libraries easy. The preloaded software stacks available through Z by HP help take the guesswork out of optimizing data science environments, saving time on setup and configuration. “Part of that includes ensuring data scientists have the proper tools available to them through this collaboration with Z by HP, we can ensure that more data scientists have access to the software they need.”Īndrada Olteanu, a data scientist at Envada, says, “Z by HP makes it easier to do my work by having go-to packages and configurations readily available in a secure and managed environment, combined with the ability to explore multi-billion record datasets.” “A key focus that we have at Anaconda is helping data scientists do their work more efficiently and breaking down the barriers to data science,” said Peter Wang, CEO and co-founder of Anaconda. Anaconda is fully integrated into the Z by HP for Data Science product line as part of the preloaded software stack, with additional future opportunities to collaborate in areas like community programming, such as with HP’s Data Science Ambassador program.
#Anaconda install
Now if you want to install any particular package, through pip in conda environment, we can do it like −Ībove we have installed opencv package through pip in conda environment.AUSTIN, Texas, Ap(GLOBE NEWSWIRE) - Anaconda and HP co-hosted a webinar today and announced a deepened collaboration that will further support the data science community. We can install pip in our existing conda environment by simply giving the command − conda install pipĪnd your screen will be shown an output something like − Method 3 − If the package is not available in our conda environment or through anaconda navigator, we can find and install the package with another package manager like pip. To install a specific package such as opencv into your existing environment “myenv”(in case you have a virtual environment to install project specific packages). Note − It is recommended to install all required packages at once so that all of the dependencies are installed at once. We can install multiple packages at once, such as OpenCV and tensorflow − conda install opencv tensorflow To install specific a specific version of a opencv package − conda install opencv-3.4.2
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Method 2 − Another way of installing packages is by the use of terminal or an Anaconda Prompt − conda install opencvĪbove command will install OpenCV package into your current environment. Let's suppose tensorflow packages are not installed in your computer, I can simply search the required package(like tensorflow), select it and click on apply to install it. It is very easy to install any package through anaconda navigator, simply search the required package, select package and click on apply to install it. Go to Environments tab just below the Home tab and from there we can check what all packages are installed and what is not. Once “Ananconda Navigator” is opened, home page will look something like − Method 1 − One common approach is to use the “Anaconda Navigator” to add packages to our anaconda environment. There are multiple ways by which we can add packages to our existing anaconda environment.