Julia is unable to load CSV files from the Kaggle competition

[xiaodai]

Benchmarking ways to write/load DataFrames IndexedTables to disk

Update 2018-Feb-19: added R feather and Pandas; thanks to @zhangliye for the pandas code For Julia, JLD.jl has the fastest write-solution and I have used it via the ultra-convenient FileIO.jl. However for interop with other packages, the slightly slower Feather.jl is also a good choice, also it may be arguable that you read data more often than you write, so Feather.jl’s superior read-speed will be essential. However, R’s feather is faster than Julia’s. The read and write speed seem to scale …

Check out the post for “inspiration”, I often find that using R’s data.table’s fread is the fastest.