tutorial_julia_python_r

Tutorial para mostrar as diferenças entre Julia, Python e R

Recomendação de pacotes

Python:

• Pandas, NumPy, SciPy, Statsmodel, Matplotlib, Seaborn
• Scikit-learn, Keras, Tensorflow, Pytorch, fastai, sktime
• Pyfolio, QuantLib, Quandl

R:

• dplyr, tidyr, data.table, tidyquant, xts, zoo, ggplot2
• tidymodels, caret, modeltime,Keras, Torch for R
• PortfolioAnalytics, quantmod, tidyquant

Julia:

• CSV, DataFrames, Queryverse, Gadfly, Plots, GLM
• MLJ, Flux, Knet, ScikitLearn.jl, Tensorflow.jl

O que falta?

• Como criar colunas a partir de cálculos (Notebook)
• Aplicar função nas colunas (map) (Notebook)
• stack/unstack/pivot_wider/melt... (Notebook)