jlpkg
Conda.jl
| jlpkg | Conda.jl | |
|---|---|---|
| 2 | 1 | |
| 89 | 158 | |
| - | - | |
| 0.0 | 10.0 | |
| over 1 year ago | over 1 year ago | |
| Julia | Julia | |
| MIT License | GNU General Public License v3.0 or later |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
jlpkg
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What's Bad about Julia?
You can expose it as a CLI tool if you wish: https://github.com/fredrikekre/jlpkg
- Introduction to Pluto.jl
Conda.jl
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IJulia: The Julia Notebook
This would launch the notebook in your default browser. The first time you run the notebook() command, it is going to ask for permission to install Jupyter. Hit on enter to allow it to use the Conda.jl package access Miniconda to install a minimal Python/Jupyter distribution. For more information on how to customize how to run IJulia on your Operating System or local machine, visit the documentation page on how to run IJulia.
What are some alternatives?
reticulate - R Interface to Python
CondaPkg.jl - Add Conda dependencies to your Julia project
Pluto.jl - 🎈 Simple reactive notebooks for Julia
Conda.jl - Conda managing Julia binary dependencies
DiffEqOperators.jl - Linear operators for discretizations of differential equations and scientific machine learning (SciML)
Pkg.jl - Pkg - Package manager for the Julia programming language
DifferentialEquations.jl - Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components. Ordinary differential equations (ODEs), stochastic differential equations (SDEs), delay differential equations (DDEs), differential-algebraic equations (DAEs), and more in Julia.
DataFrames.jl - In-memory tabular data in Julia