Empty notebook

empty.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Julia 1.1.0",
   "language": "julia",
   "name": "julia-1.1"
  },
  "language_info": {
   "file_extension": ".jl",
   "mimetype": "application/julia",
   "name": "julia",
   "version": "1.1.0"
  },
  "latex_envs": {
   "LaTeX_envs_menu_present": true,
   "autocomplete": true,
   "bibliofile": "biblio.bib",
   "cite_by": "apalike",
   "current_citInitial": 1,
   "eqLabelWithNumbers": true,
   "eqNumInitial": 1,
   "hotkeys": {
    "equation": "Ctrl-E",
    "itemize": "Ctrl-I"
   },
   "labels_anchors": false,
   "latex_user_defs": false,
   "report_style_numbering": false,
   "user_envs_cfg": false
  },
  "toc": {
   "nav_menu": {},
   "number_sections": true,
   "sideBar": true,
   "skip_h1_title": false,
   "toc_cell": false,
   "toc_position": {},
   "toc_section_display": "block",
   "toc_window_display": false
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}

Project.toml

[deps]
Gadfly = "c91e804a-d5a3-530f-b6f0-dfbca275c004"
PyCall = "438e738f-606a-5dbb-bf0a-cddfbfd45ab0"
PyPlot = "d330b81b-6aea-500a-939a-2ce795aea3ee"
RDatasets = "ce6b1742-4840-55fa-b093-852dadbb1d8b"
Cxx = "a0b5b9ef-44b7-5148-a2d1-f6db19f3c3d2"
Plots = "91a5bcdd-55d7-5caf-9e0b-520d859cae80"
PlotlyJS = "f0f68f2c-4968-5e81-91da-67840de0976a"
ORCA = "47be7bcc-f1a6-5447-8b36-7eeeff7534fd"
DSP = "717857b8-e6f2-59f4-9121-6e50c889abd2"
FFTW = "7a1cc6ca-52ef-59f5-83cd-3a7055c09341"
DataFrames = "a93c6f00-e57d-5684-b7b6-d8193f3e46c0"
Query = "1a8c2f83-1ff3-5112-b086-8aa67b057ba1"
StatsPlots = "f3b207a7-027a-5e70-b257-86293d7955fd"
Interact = "c601a237-2ae4-5e1e-952c-7a85b0c7eef1"

[compat]
julia = "=1.1.0"