Window10系统JuliaPro1.2.0-1安装了一大堆Julia第三方包,导致Julia运行缓慢?

Julia第三方库虽然现在已经有了一些了,但与R、Python、Perl相比还是少了一些,而且还不是很成熟,需要大量的开发人员进行开发和完善。期待那么一天,黎明前总是很黑,伸手不见五指……
下面是我安装了的Julia第三方包,安装多了之后,我发现执行起代码有些缓慢,没有之前那么流畅了,还有一个老问题,就是RCall,还是无法正常使用。
因为工作原因,我平时用R、Python和Perl多些,有时候会用到Java,但是Julia真的很迷人,让人禁不住诱惑,哈哈哈。

(v1.2) pkg> status
    Status `C:\Users\lenovo\.juliapro\JuliaPro_v1.2.0-1\environments\v1.2\Project.toml`
  [fc2879f5] Ant v0.1.0
  [7d9fca2a] Arpack v0.3.1
  [b19378d9] ArrayFire v1.0.6
  [c52e3926] Atom v0.12.9
  [02898b10] Augmentor v0.6.0
  [19670fab] BBI v0.1.1
  [4c6ed407] BayesianOptimization v0.2.2
  [0bcc2ff6] Bedgraph v2.1.0
  [85eb9095] BedgraphFiles v2.0.0
  [6e4b80f9] BenchmarkTools v0.5.0
  [37cfa864] BioCore v2.0.5
  [3c28c6f8] BioSymbols v3.1.0
  [e91bece4] BisectPy v0.1.0
  [4f8fbe5d] BoltzmannMachines v1.2.0
  [336ed68f] CSV v0.5.26
  [159f3aea] Cairo v0.8.0
  [a9718f02] ChemometricsTools v0.5.7
  [d3e213a1] ColorSchemeTools v0.2.0
  [5ae59095] Colors v0.11.2
  [a81c6b42] Compose v0.8.1
  [8f4d0f93] Conda v1.4.1
  [a8cc5b0e] Crayons v4.0.1
  [8a292aeb] Cuba v2.0.0
  [a0b5b9ef] Cxx v0.3.4
  [2841fd70] DPMMSubClusters v0.1.8
  [a93c6f00] DataFrames v0.20.2
  [55939f99] DecFP v0.4.10
  [7806a523] DecisionTree v0.10.1
  [0c46a032] DifferentialEquations v6.11.0
  [22fd7b30] DirectSum v0.4.3
  [67fdca37] Displaz v1.0.0
  [31c24e10] Distributions v0.22.5
  [497a8b3b] DoubleFloats v1.1.3
  [bbc10e6e] DynamicHMC v2.1.5
  [61744808] DynamicalSystems v1.3.0
  [f6006082] EvoTrees v0.4.5
  [587475ba] Flux v0.8.3
  [da1fdf0e] FreqTables v0.3.0
  [38e38edf] GLM v1.3.7
  [8d5ece8b] GLMNet v0.4.2
  [0337cf30] GRUtils v0.4.8
  [c91e804a] Gadfly v1.2.0
  [01680d73] GenericSVD v0.2.2
  [5d6f8c34] GeneticBitArrays v0.3.0
  [4f8a0a0a] GenomicAnnotations v0.1.1
  [db448a0f] GenomicMaps v0.1.2
  [7eab9655] GracePlot v0.3.2
  [7073ff75] IJulia v1.21.1
  [d8c32880] ImageInTerminal v0.4.2
  [54eb57ff] InteractiveCodeSearch v0.3.2
  [1c8ee90f] IterableTables v1.0.0
  [494afd89] JavaCall v0.7.3
  [4076af6c] JuMP v0.20.1
  [e5e0dc1b] Juno v0.7.2
  [1902f260] Knet v1.3.4
  [b964fa9f] LaTeXStrings v1.1.0
  [2b0e0bc5] LanguageServer v2.0.0
  [7f8f8fb0] LearnBase v0.2.2
  [30fc2ffe] LossFunctions v0.5.1
  [ae8d54c2] Luxor v1.11.0
  [9920b226] MLDataPattern v0.5.0
  [add582a8] MLJ v0.9.3
  [a7949054] MXNet v1.5.0
  [872c559c] NNlib v0.6.6
  [9bbee03b] NaiveBayes v0.4.0
  [d0dd6a25] ONNX v0.1.1
  [429524aa] Optim v0.20.1
  [9b87118b] PackageCompiler v0.6.5
  [4c47b132] PhyloTrees v0.10.0
  [f0f68f2c] PlotlyJS v0.12.90
  [91a5bcdd] Plots v0.27.1
  [c36e90e8] PowerModels v0.15.2
  [27ebfcd6] Primes v0.4.0
  [438e738f] PyCall v1.91.3
  [d330b81b] PyPlot v2.8.2
  [1fd47b50] QuadGK v2.3.1
  [fcd29c91] QuantEcon v0.16.2
  [6f49c342] RCall v0.13.4
  [ce6b1742] RDatasets v0.6.6
  [d3d335b2] RawArray v0.1.1
  [d27d45ae] Recommendation v0.3.0
  [0376cc21] Reinforce v0.2.0
  [158674fc] ReinforcementLearning v0.3.0
  [22bb73d7] SVR v0.6.1
  [321657f4] ScientificTypes v0.7.1
  [3646fa90] ScikitLearn v0.5.1
  [276daf66] SpecialFunctions v0.8.0
  [2cb19f9e] StatsKit v0.3.0
  [5f6e642e] SumProductNetworks v0.1.2
  [1d978283] TensorFlow v0.11.0
  [dc548174] TerminalMenus v0.1.0
  [9e3dc215] TimeSeries v0.16.0
  [fce5fe82] Turing v0.7.1
  [c4f8c510] UMAP v0.1.4
  [b8865327] UnicodePlots v1.2.0
  [e88e6eb3] Zygote v0.4.9
  [8bb1440f] DelimitedFiles 

(v1.2) pkg> 

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