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Releases: terasakisatoshi/MyWorkflow.jl

Release v0.8.0

22 Mar 07:16
1c328b5
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Release v0.8.0

  • Since PackageCompiler.jl has grow up major update 1.x we would like to install it via Pkg.add("PackageCompiler") rather than install master branch.
  • Add jupyter notebook that simulates n-soliton and BBS(box and ball system)
  • make Dockerfile for Binder and our development activity

Release v0.7.0

16 Feb 18:10
c4c8eb6
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Release v0.7.0

  • resolve inconsistency of default project directory when one initialize jupyter notebook
  • support LaTeXStrings feature
  • add an example of notebook w.r.t tangent space (in Japanese)
  • small fix

Release v0.6.0

15 Feb 11:44
fc84005
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  • Add an example using plotly backend
  • Drop out support Julia 1.0.x
  • minor fix Makefile

Run repository on Binder

05 Feb 18:52
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I'm happy to announce of release MyWorkflow.jl. Here is our new feature !!

Feature

Run our repository on Binder

  • Binder builds Docker image from our Dockerfile and push it to an website hosted by Binder. This means you can run/try our some jupyter notebooks under experiments/notebooks REMOTELY.
  • Thanks to PacakgeCompilerX, we can also accelerate speed of loading heavy packages such as Plots.jl, DataFrames.jl, PyCall.jl or something like that.
  • For more detail, check out the next link Binder

Utilize docs

01 Feb 14:25
4316199
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Feature

  • enabe to build Docker container via GitHub Actions
  • add some markdown files that write docstrings or mathematical documentation including Japanese
  • add plot example

Release v.0.3.0

22 Jan 15:39
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Feature

  • AOT compile Plots.jl to reduce overhead of loading Plots.jl plot([1,2,3]) etc...
  • Optimize Dockerfile to build quickly

Release v.0.2.0

04 Jan 16:13
8cc7e50
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Feature

  • Use PackageCompilerX to reduce overhead of loading some package e.g. Revise.jl OhMyREPL.jl
  • Upgrade Dockerfile to utilize PackageCompilerX to reduce overhead of loading Revise.jl and OhMyREPL

Release v0.1.0

21 Dec 05:13
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Release v0.1.0

  • I'm happy to announce release of MyWorkflow.jl v0.1.0

Feature

  • Add Atom.jl, Juno.jl to connect between Docker container and Juno (Julia editor based on Atom)

  • Run Julia inside Docker container

  • Run Jupyter Notebook inside Docker container

  • Enable to generate assets of documentation of Package inside Docker container

    • This means we can do all actions without installing Julia on your host machine.
    • Namely all we have to do is prepare environment Docker, Docker Compose, make command, Web Browser on your host machine

FIrst Release

18 Dec 16:16
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  • Release of my workflow using Docker container