Important Julia Packages for Data-Science and Machine-Learning
- Julia Ipython:
Julia is able to run very well on you Ipython notebook Environment. After all, All you have to do is Data-Science and Machine-Learning. :)
1.1 Open Julia Prompt(At Ubuntu it works like typing ‘julia’ command in your Terminal)
1.2 run command > Pkg.add(“IJulia”) # it will do almost all the work.
2. DataFrames: Whenever you have to read lot of files in Excel-Style Julia DataFrames Package is good to go.
Pkg.add("DataFrames")3. Arduino:
A Julia Package for interacting with Arduino.
https://github.com/rennis250/Arduino.jl
4. Neural Network Implementation of Julia:
https://github.com/compressed/BackpropNeuralNet.jl
5. Visualizing and Plotting in Julia:
https://github.com/bokeh/Bokeh.jl
6. Reading and writing CSV files in Julia
https://github.com/JuliaData/CSV.jl
7. DataClusting in Julia:
https://github.com/JuliaStats/Clustering.jl
For more Large number of Packages, Please refer following link:
Note*: You can also run most of the Shell commands in Julia environment as well. :)
