update README for begginers

README.md

@@ -5,18 +5,95 @@
 - This repository aims to provide scripts that create sysimage via PackageCompiler.jl .
 - It will reduce latency when working locally with packages that has a high startup time e.g. Plots.jl or StatsPlots.jl .
 
-# Usage
+# Usage: For 今北産業(TL;DR) users
 
-## Setup 
+```console
+$ git clone https://github.com/terasakisatoshi/sysimage_creator.git
+$ pip install jupyter jupytext nbconvert ipykernel
+$ cd sysimage_creator && make && jupyter notebook
+```
+
+Then open your jupyter notebook and select a kernel named `Julia-sys 1.6.3`
+
+# Usage: For reasonable people
 
+## Step 1: Install dependencies
+
+- Almost people can skip this step because your are trying to improve your Jupyter IJulia.jl, to You know what to do.
+- Install [Julia](https://julialang.org/downloads/) and Python
+- Let's install `jupyter` (or `jupyterlab` instead) and `jupytext` via:
 ```console
 $ pip install jupyter jupytext
-$ pip install nbconvert ipykernel # for Windows users
-$ julia setup.jl
+$ pip install nbconvert ipykernel # I'm not sure, but you may need on Windows.
+```
+
+- After that, let's moving on to Step2!!!
+
+### Step1-1: Help! I'm new to any kind of programming language.
+
+- All right. Welcome to Julia! First of all please [install Julia from here](https://julialang.org/downloads/). Please see platform specific instructions for further installation instructions and if you have trouble installing Julia. You'll learn how to add a path of a program for Julia. Open your terminal and type `julia` command.
+
+```console
+$ julia
+               _
+   _       _ _(_)_     |  Documentation: https://docs.julialang.org
+  (_)     | (_) (_)    |
+   _ _   _| |_  __ _   |  Type "?" for help, "]?" for Pkg help.
+  | | | | | | |/ _` |  |
+  | | |_| | | | (_| |  |  Version 1.6.3 (2021-09-23)
+ _/ |\__'_|_|_|\__'_|  |  Official https://julialang.org/ release
+|__/                   |
+
+julia> # congrats!
+julia> exit() # exit from julia REPL
+$ julia # you can start again.
+```
+
+- Moving on to the next step. Let's install PyCall and IJulia and then your environment can initialize jupyter notebook
+
+```conosle
+julia> ENV["PYTHON"]=""; ENV["JUPYTER"]=""
+julia> using Pkg; Pkg.add(["PyCall", "IJulia", "Conda"])
+julia> using Conda; Conda.add(["jupyter", "jupytext"], channel="conda-forge")
+```
+
+- Tips: you don't have to copy code above line by line. Copy the whole 3 lines. Don't hesitate to include prompt `julia>`. Then just do paste to your julia REPL.
+- Tips: Setting `ENV["PYTHON"]=""; ENV["JUPYTER"]=""` makes julia select Python provided via [Conad.jl](https://github.com/JuliaPy/Conda.jl). Conda.jl uses the miniconda Python environment, which only includes conda and its dependencies. If you have LITTLE experience with Python, just follow the instructions above is fine.
+- Tips: Ah, you've remembered you can use Python and Jupyter from your terminal e.g.
+
+```console
+$ python
+>>>
+```
+
+```console
+$ pip install numpy
+```
+or whatever
+
+```console
+$ jupyter notebook
+```
+
+If so, you may consider do the following command:
+
+```julia
+julia> run(`pip install jupyter jupytext nbconvert ipykernel`)
+julia> ENV["PYTHON"]=Sys.which("python3"); ENV["JUPYTER"]=Sys.which("jupyter")
+julia> using Pkg; Pkg.build(["PyCall", "IJulia"])
+```
+
+What does it do? Well, read the code: [deps/build.jl](https://github.com/JuliaLang/IJulia.jl/blob/master/deps/build.jl).
+
+Anyway, after finished the installation, let's initialize Juptyer notebook:
+
+```julia
+julia> using IJulia; notebook(dir=pwd())
 ```
 
-## Create sysimage
+## Step 2: Create sysimage
 
+- Ah... also make sure you can use `$ make` command on your terminal.
 - Just run `make`. It will make sysimage named `sys.{DLEXT}`, where `DLEXT` is `dylib, dll or so`.
 
 ```
@@ -53,7 +130,7 @@ or just run `make test` :D.
 $ jupyter notebook
 ```
 
-- Then you'll see New kernel for Julia named `Julia-sys 1.6.0`. 
+- Then you'll see New kernel for Julia named `Julia-sys 1.6.3`. 
 
 ![](assets/jupyter_kernel_list.png)
 
@@ -62,7 +139,7 @@ $ jupyter notebook
 ```console
 $ cat ~/Library/Jupyter/kernels/julia-sys-1.6/kernel.json
 {
-  "display_name": "Julia-sys 1.6.0",
+  "display_name": "Julia-sys 1.6.3",
   "argv": [
     "/Applications/Julia-1.6.app/Contents/Resources/julia/bin/julia",
     "-i",