Julia-DataFrames-Tutorial
db-benchmark
| Julia-DataFrames-Tutorial | db-benchmark | |
|---|---|---|
| 2 | 11 | |
| 507 | 123 | |
| - | 5.7% | |
| 0.0 | 8.0 | |
| about 1 year ago | 4 months ago | |
| Jupyter Notebook | R | |
| MIT License | Mozilla Public License 2.0 |
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Julia-DataFrames-Tutorial
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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.
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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
db-benchmark
- Database-Like Ops Benchmark
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Polars
DuckDB maintains a benchmark of open source database-like tools, including Polars and Pandas
https://duckdblabs.github.io/db-benchmark/
- Planning a New Benchmarking for Comparing Filter2Groupby for 3,000 Files (100,000 Rows/Files)
- Pandas vs. Julia – cheat sheet and comparison
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Polars supports SQL statement in Python Plus CLI Verion (Polars.exe 24.4MB)
DuckDB is also a SQL/Python app, refer to this benchmark, seem it run very fast https://duckdblabs.github.io/db-benchmark/
- The Return of the H2o.ai Database-Like Ops Benchmark
- I discovered that the fastest way to create a Pandas DataFrame from a CSV file is to actually use Polars
What are some alternatives?
Tidier.jl - Meta-package for data analysis in Julia, modeled after the R tidyverse.
IndexedTables.jl - Flexible tables with ordered indices
DataFramesMeta.jl - Metaprogramming tools for DataFrames
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.
db-benchmark - reproducible benchmark of database-like ops
ISLR.jl - JuliaLang version of "An Introduction to Statistical Learning: With Applications in R"
JuliaTutorials - Learn Julia via interactive tutorials!
Julia-on-Colab - Notebook for running Julia on Google Colab
JuliaCall - Embed Julia in R
RigidBodySim.jl - Simulation and visualization of articulated rigid body systems in Julia