https://github.com/quantumbfs/juliachallenge
Can you solve all the puzzles in this repo? Master Julia in an easy way!
https://github.com/quantumbfs/juliachallenge
julia learning physics tutorial
Last synced: 4 months ago
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Can you solve all the puzzles in this repo? Master Julia in an easy way!
- Host: GitHub
- URL: https://github.com/quantumbfs/juliachallenge
- Owner: QuantumBFS
- License: mit
- Created: 2018-09-19T10:23:34.000Z (over 7 years ago)
- Default Branch: master
- Last Pushed: 2022-09-20T14:52:31.000Z (over 3 years ago)
- Last Synced: 2025-04-07T04:34:01.713Z (10 months ago)
- Topics: julia, learning, physics, tutorial
- Language: Jupyter Notebook
- Size: 452 KB
- Stars: 22
- Watchers: 3
- Forks: 3
- Open Issues: 2
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Julia Challenge
Can you solve all the puzzles in noteboook `Challenge.ipynb`?
## Contents
[Test driven development](https://en.wikipedia.org/wiki/Test-driven_development) is not only interesting, but also good for learning a new language.
Notebook `Challenge.ipynb` contains a lot of tasks specified by tests.
These tests cover
* Toolchain for numerical simulations (also, see the list of toolchain for physicists [here](ToolChain.md))
* Write Julia functions
* Write simulated annealing
Another important aspect that Julia is different from other language is package development.
This part will be covered [here](DevelopGuide.md)
## Get Started
1. install julia 1.0 from [here](https://julialang.org/downloads/) and install IJulia from [here](https://github.com/JuliaLang/IJulia.jl),
2. clone this repo to your local host
```bash
$ git clone https://github.com/QuantumBFS/JuliaChallenge.git
$ cd JuliaChallenge
```
3. open the notebook and **pass all the tests**!
```bash
$ jupyter notebook Challenge.ipynb
```
## Author
[JinGuo Liu](https://giggleliu.github.io/)