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Open Canopy, which should have a shortcut in the Start Menu under 'Enthought Canopy' for Windows or in your Applications for Mac. Use an IPython notebook in Canopy to import PyHCUPДЇinally, let's launch Canopy and use it to access the tools in the PyHCUP package. If you get an error message, double check for typos in your pip install pyhcup command. Running setup.py egg_info for package pyhcup You should see some response output like this. Again, open a terminal or command prompt. We will use pip to install the PyHCUP package, which will make it easily accessible in your code, without having to handle the details of exactly where to download or install a package. Open a command prompt or terminal and type the following to get pip.Д®asy_install pip 3.

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Once it finds a match, pip will download and install the package in such a way that you can access it without knowing the details of where it has been downloaded or how to install it.ДЄmusingly, Canopy comes with a different package manager called easy_install which makes it simple to get pip up and running. When you try to use pip to install a Python package, pip will automatically look in known repositories of Python packages for items that match your desired package.

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In fact, if you're reading this post, it's likely because you want to use a Python package to so something without having to write all the code from scratch. The volume, quality, and ease of use of Python packages are part of why Python is such a useful programming language. Python packages are essentially pieces of code that you can download and integrate into your own code to avoid re-writing code that some one else already wrote. Pip (all lowercase) is a package manager for Python. If you run into trouble, detailed instructions are available for Windows, Mac, and Linux. For most people, the process should be as simple as running the installer after the download finishes (you may need administrator privileges, depending on your operating system). Head over to the Enthought Canopy downloads page, which will try to detect the right download for your operating system and present you with a download link. However, even the free version is more than enough for our purposes. If you work in academia and have a *.edu email address, you may qualify.

#CANOPY INSTALL JUPYTER NOTEBOOK FOR FREE#

What's more, Enthought provide a free version of Canopy ('Canopy Express'), and give the full version away for free for academic use. Canopy provides a Python interpreter and some fantastic tools for writing Python all in a single bundle. One way of accomplishing this is with Canopy, a very convenient offering from Enthought Scientific Computing. Python is a language, and in order to have it be understood by a computer you will need to provide that computer with an interpreter. This post will go through all of the steps you need to get up and running with Python and the PyHCUP package. And, once that's installed, there are only a few additional steps to get going with HCUP data.

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As someone whose skill set more closely resembles that of a business analyst than a software developer myself, it's a poor use of time for me to muscle through a lot of detailed customization/config/compile steps that I'll seldom if ever need to know how to do again.ДЇortunately, there is a bundled solution available tailored specifically to the needs of analytical and scientific Python users.

Particularly if you are new to programming, the world of Python installation, packages, and modules can be daunting. This is the second post in a series on working with Healthcare Cost and Utilization Project (HCUP) datasets using Python and other open-source alternatives to SAS and SPSS, which are the two primary data tools supported by HCUP.

Canopy install jupyter notebook