tidyquant
tidyquery
| tidyquant | tidyquery | |
|---|---|---|
| 2 | 2 | |
| 831 | 167 | |
| -0.1% | - | |
| 7.5 | 0.0 | |
| 4 days ago | over 1 year ago | |
| R | R | |
| GNU General Public License v3.0 or later | Apache License 2.0 |
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.
tidyquant
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How do i fix this error message?
i looked up ur error and found this check if there is a package u need to update
- Yesterday I came across Awesome-Quant repository and it was great. I went ahead and dig through all the backtesting & AI repos from Python and created a list of repo which are most updated & maintained. Let me know if I missed your favorite.
tidyquery
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Can "dplyr" code automatically be converted to SQL code?
tidyquery
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ClickHouse as an alternative to Elasticsearch for log storage and analysis
> SQL is a perfect language for analytics.
Slightly off topic, but I strongly agree with this statement and wonder why the languages used for a lot of data science work (R, Python) don't have such a strong focus on SQL.
It might just be my brain, but SQL makes so much logical sense as a query language and, with small variances, is used to directly query so many databases.
In R, why learn the data.tables (OK, speed) or dplyr paradigms, when SQL can be easily applied directly to dataframes? There are libraries to support this like sqldf[1], tidyquery[2] and duckdf[3] (author). And I'm sure the situation is similar in Python.
This is not a post against great libraries like data.table and dplyr, which I do use from time to time. It's more of a question about why SQL is not more popular as the query language de jour for data science.
[1] https://cran.r-project.org/web/packages/sqldf/index.html
[2] https://github.com/ianmcook/tidyquery
[3] https://github.com/phillc73/duckdf
What are some alternatives?
finta - Common financial technical indicators implemented in Pandas.
duckdf - 🦆 SQL for R dataframes, with ducks
Intraday-stock-prices - A python function for getting real-time stock prices
clickhousedb_fdw - PostgreSQL's Foreign Data Wrapper For ClickHouse
alpha_vantage - A python wrapper for Alpha Vantage API for financial data.
meilisearch-js-plugins - The search client to use Meilisearch with InstantSearch.
Lean - Lean Algorithmic Trading Engine by QuantConnect (Python, C#)
tidyverse - Easily install and load packages from the tidyverse
RdplyrSelects
tidylog - Tidylog provides feedback about dplyr and tidyr operations. It provides wrapper functions for the most common functions, such as filter, mutate, select, and group_by, and provides detailed output for joins.
Econometrics-on-Stock-Data - R finance guide - Algotrading101
MeiliSearch - A lightning-fast search API that fits effortlessly into your apps, websites, and workflow