Julia-on-Colab
Julia-DataFrames-Tutorial
| Julia-on-Colab | Julia-DataFrames-Tutorial | |
|---|---|---|
| 1 | 2 | |
| 159 | 516 | |
| - | - | |
| 0.0 | 0.0 | |
| almost 2 years ago | about 1 year ago | |
| Jupyter Notebook | Jupyter Notebook | |
| MIT License | MIT License |
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.
Julia-on-Colab
-
Cheap online compute for ML projects in Julia?
This is the correct answer. This is the link: https://github.com/Dsantra92/Julia-on-Colab
Julia-DataFrames-Tutorial
-
Pandas vs. Julia – cheat sheet and comparison
To be clear on this: DataFrames, like most of the Julia ecosystem, follows SemVer. DataFrames 1.0 was released over two years ago (March 2021), and the API has been stable ever since.
Furthermore, Bogumil Kaminski, one of the main developers behind DataFrames, makes sure that the DataFrames tutorials he has created here (https://github.com/bkamins/Julia-DataFrames-Tutorial) are updated on every new release.
-
How do I access a specific column/row based on the column name and/or row value with an indexed table?
Take a look at the these notebooks: https://github.com/bkamins/Julia-DataFrames-Tutorial
What are some alternatives?
dl-colab-notebooks - Try out deep learning models online on Google Colab
Tidier.jl - Meta-package for data analysis in Julia, modeled after the R tidyverse.
machine-learning-asset-management - Machine Learning in Asset Management (by @firmai)
IndexedTables.jl - Flexible tables with ordered indices
ThreeBodyBot - Poorly written code that generates moderately exciting plots of a very specific physics phenomenon that enthralls dozens of us around the globe.
Zygote-Mutating-Arrays-WorkAround.jl - A tutorial on how to work around ‘Mutating arrays is not supported’ error while performing automatic differentiation (AD) using the Julia package Zygote.
DataScience - Data Science in Julia course for JuliaAcademy.com, taught by Huda Nassar
ISLR.jl - JuliaLang version of "An Introduction to Statistical Learning: With Applications in R"
interesting-colabs - Personal colab collections which I feel interesting.
JuliaTutorials - Learn Julia via interactive tutorials!