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Python Data Analysis by Ivan Idris

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Working with Wakari

The Cloud service on https://wakari.io/ is similar to the PythonAnywhere website. The team behind Wakari has people on board who have actively contributed to SciPy and NumPy in the past. Once we have logged in, we are presented with the Wakari workspace. On the left in this workspace, we have a file browser that can also be used to upload files. On the right, we can open the Bash, Python, or IPython consoles.

You can clearly see the file browser in the following screenshot. Use the file browser to upload the r_demo.py file again.

Working with Wakari

Run the program in a Python 2.7 console. Refer to the following screenshot for the end result:

As we ...

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