datatable
scientific-visualization-book
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| datatable | scientific-visualization-book | |
|---|---|---|
| 9 | 17 | |
| 1,790 | 10,057 | |
| 0.8% | - | |
| 6.1 | 3.6 | |
| 5 months ago | 3 months ago | |
| C++ | Python | |
| Mozilla Public License 2.0 | 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.
datatable
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Cheat Sheets for data.table to Python's pandas syntax?
Aside from that, there is a Python translation of data.table (see documentation here), which might be worth looking into. However, it hasn't had any major updates in a while: the last release 2 years ago ...
- Any advice on using Pandas as a data analyst?
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Alternative to Pandas
There's datatable. I haven't used it much, but the R version (data.table) is phenomenal.
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Need advice on whether to store data set for regression model in SQL database or by using Python modules like Pickle or Parquet
just use HDF5 or Parquet, or CSV + https://github.com/h2oai/datatable to speed up the file reading.
- Massive R analysis of Data Science Language and Job Trends 2022
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Scikit-Learn Version 1.0
> For me I had with pandas the most issues using it's multiindex.
Yessss. I loathe indices, and have never been in a situation where I was better off with them than without them.
> Regarding fast you have something like Vaex on python sid
I've never used Vaex, but I've used datatable (https://github.com/h2oai/datatable) and polars (https://github.com/pola-rs/polars). Polars is my favorite API, but datatable was faster at reading data (Polars was faster in execution). I'll have to give Vaex a try at some point.
- Show HN: Sheet2dict – simple Python XLSX/CSV reader/to dictionary converter
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Hey Reddit, here's my comprehensive course on Python Pandas, for free.
Yep. I think this is the downside to a package being entirely maintained by volunteers. In any case, Pandas is still the leading data wrangling package for Python. (I'm excited to see how datatable evolves.)
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Ditching Excel for Python in a Legacy Industry (Reinsurance)
h2o's data.table clone is fine
https://github.com/h2oai/datatable
scientific-visualization-book
- Scientific Visualization: Python and Matplotlib
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Which latest DS Skill you are working on currently?
knowing matplotlib really well gets really pro viz tbh, this https://github.com/rougier/scientific-visualization-book is the best resource for it imo. Its a bit more work but you can get really great results
- Book or web book recommendation request: a data visualization cookbook using Python for scientists.
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What's New in Matplotlib 3.6.0
I had the same problem until I found this tutorial:
https://github.com/rougier/matplotlib-tutorial
If you wan something deeper the same person has written a book:
https://github.com/rougier/scientific-visualization-book
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looking for scientific visualization book in julia
i saw this one : > https://github.com/rougier/scientific-visualization-book
- Scientific-Visualization-Book - None
- 📘 An open access book on scientific visualization using python and matplotlib, h/t @MikeTamir
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Dyson hatching (dungeon map)
I re-created the hatching using matplotlib as shown here.
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Dungeon map rendering using matplotlib
From the open access book "Scientific Visualization: Python + Matplotlib. Code: dungeon.py
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Ask HN: What is the best book on data visualization in 2021?
For python this open access book is excellent: https://github.com/rougier/scientific-visualization-book
What are some alternatives?
polars - Dataframes powered by a multithreaded, vectorized query engine, written in Rust
sktime - A unified framework for machine learning with time series
DataFrame - C++ DataFrame for statistical, Financial, and ML analysis -- in modern C++ using native types and contiguous memory storage
db-benchmark - reproducible benchmark of database-like ops
Altair - Declarative statistical visualization library for Python
vinum - Vinum is a SQL processor for Python, designed for data analysis workflows and in-memory analytics.
oz - Data visualizations in Clojure and ClojureScript using Vega and Vega-lite
faiss - A library for efficient similarity search and clustering of dense vectors.
mplcyberpunk - "Cyberpunk style" for matplotlib plots