May 2018
Beginner to intermediate
364 pages
7h 43m
English
Content preview from Hands-On Data Science with Anaconda
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Data visualization in Julia
For the following Julia program, we use a package called Plots. The command used to install the package is Pkg.add("Plots"). Here, we run Julia programs via a Jupyter notebook. The Julia program is presented in the following screenshot:
After clicking Kernel on the menu bar, and then Restart and Run All, we get the following:
Again, the srand(123) command guarantees that any user who applies the same random seed will get the same set of random numbers. Because of this, he/she would get the same graph shown previously. ...
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