course_julia_day:一天之内了解Julia编程语言的注意事项

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  • 2022-05-12 07:23
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course_julia_day:一天之内了解Julia编程语言的注意事项
course_julia_day-master.zip
  • course_julia_day-master
  • 02_Functions_Types_Dispatch.ipynb
    29.5KB
  • davidson_cuda.jl
    1.3KB
  • 08_Using_Julia_From_Python.ipynb
    1.8KB
  • Solutions_to_Exercises.ipynb
    9.3KB
  • Project.toml
    498B
  • 01_Variables_Control_Packages.ipynb
    16.4KB
  • 04_Getting_Help.ipynb
    4.6KB
  • 03_Arrays.ipynb
    14.2KB
  • LICENSE
    34.3KB
  • 07_Other_Language_Features.ipynb
    18.9KB
  • 10_Conclusions.ipynb
    4.7KB
  • README.md
    2.4KB
  • 06_Linear_Algebra_Precision_Profiling.ipynb
    10.4KB
  • .gitignore
    118B
  • 05_Dancing_Particles.ipynb
    15.6KB
  • 09_Useful_Packages.ipynb
    11.5KB
  • 00_Introduction.ipynb
    8KB
内容介绍
# Getting to know Julia in one day [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/mfherbst/course_julia_day/master?filepath=00_Introduction.ipynb) This introductory course into Julia is presented in the form of Jupyter notebooks, which discuss the key concepts of the language from the angle of performing molecular simulations or linear algebra operations. It also provides an overview of existing packages and projects based on Julia. This material was originally prepared for the Julia day at Sorbonne Université on 13.12.2019 ([details](https://michael-herbst.com/teaching/2019-julia-day-jussieu/)), but was also presented at 36c3 in Leipzig. ## Using the tutorial online If you don't want to install Julia just yet, just run the tutorial [on binder](https://mybinder.org/v2/gh/mfherbst/course_julia_day/master?filepath=00_Introduction.ipynb), which allows you to work with the material directly from your browser. ## Installing Julia For working on the notebooks **Julia 1.3** is recommended. Julia can be easily obtained in binary form from [Julia downloads](https://julialang.org/downloads/). [Installation instructions](https://julialang.org/downloads/platform.html) specific to your operating systems are available. ## Installing Jupyter and IJulia For working with the material you need a working [IJulia setup](https://github.com/JuliaLang/IJulia.jl), this means you need to install Jupyter and integrate it with Julia. Roughly this boils down to: 1. Install Jupyter notebook. For Linux choose your favourite package manager, like ```bash apt install jupyter jupyter-notebook ``` for debian or ```bash pip install jupyter ``` if you prefer PyPi packages. For Mac use `brew install jupyterlab`. 2. Install `IJulia` inside Julia. For this run ```bash /path/to/juliafolder/bin/julia -e 'import Pkg; Pkg.add("IJulia")' ``` in your terminal, where `/path/to/juliafolder` is the path into which you unpacked the `julia` tarball. ## Getting the files and starting the notebooks For getting the course files to your computer, the simplest is to use git: ```bash git clone https://github.com/mfherbst/course_julia_day ``` After the command is finished you can start the notebooks as usual: ```bash cd course_julia_day jupyter notebook . ``` ## Citation If you find this material useful, please consider citing it: [![DOI](https://zenodo.org/badge/218152558.svg)](https://zenodo.org/badge/latestdoi/218152558)
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