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hosseinmoein
DataFrame
C++2018–2024
hosseinmoein / DataFrame

DataFrame

C++ DataFrame for statistical, financial, and ML analysis in modern C++

4Distinct people
8Mentions
0Explicit recommenders
3KGitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

C++ DataFrame for statistical, financial, and ML analysis in modern C++

GitHub

Where it is used

No documented product use has been verified yet.

What people are saying

No recommendation phrase was found in the indexed comments.

No classified warning is attached to this page. Read the discussions before treating silence as approval.

Also in these discussions

No other repository is repeatedly linked in the same discussions.

This week on Hacker News

Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 3:03:16 PM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by year8 dated mentions

Observed mentions: 2018-07-12 18:38:43 UTC to 2024-02-13 15:48:37 UTC.

02462018-01-01 00:00:00 UTC to 2019-01-01 00:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 comments20182019-01-01 00:00:00 UTC to 2020-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2020-01-01 00:00:00 UTC to 2021-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2021-01-01 00:00:00 UTC to 2022-01-01 00:00:00 UTC (exclusive): 6 mentions; 5 submissions, 1 comments20212022-01-01 00:00:00 UTC to 2023-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2023-01-01 00:00:00 UTC to 2024-01-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2024-01-01 00:00:00 UTC to 2025-01-01 00:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 comments2024

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges
UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
20182018-01-01 00:00:00 UTC2019-01-01 00:00:00 UTC110
20192019-01-01 00:00:00 UTC2020-01-01 00:00:00 UTC000
20202020-01-01 00:00:00 UTC2021-01-01 00:00:00 UTC000
20212021-01-01 00:00:00 UTC2022-01-01 00:00:00 UTC651
20222022-01-01 00:00:00 UTC2023-01-01 00:00:00 UTC000
20232023-01-01 00:00:00 UTC2024-01-01 00:00:00 UTC000
20242024-01-01 00:00:00 UTC2025-01-01 00:00:00 UTC110

What Hacker News says

8 sources
hmoein·Jun 7, 2021Submission

Show HN: One flew over the variadic template arguments

Python is a dynamically -- run-time -- typed language. That creates big advantages and big disadvantages. The advantage: it makes it very versatile and heterogeneously functional. For example, you could easily have heterogeneous containers. You could easily loop through them and your loop variable is dynamically evaluated. Also, you could have heterogeneous interfaces, … The disadvantage: it is very inefficient. For example, in the above loop, the loop variable type must be determined at each iteration. That’s extremely inefficient -- although there are ways under certain circumstances to avoid that. C++, on the other hand, is statically and moderately-strongly typed language. So, you cannot – without using pointers which is inefficient – have heterogeneous containers because you must know all types at compile time. Also, you cannot have
Read the rest
heterogeneous interfaces, … Enter the _ variadic template arguments_. This modern C++ feature makes it possible to have some aspects of heterogeneity without the disadvantage of inefficiency. Variadic template arguments help in designing interfaces for heterogeneous containers. As an example, please look at [DataFrame](https://github.com/hosseinmoein/DataFrame) which implements a C++ heterogeneous container. Look at member methods load_data()(https://htmlpreview.github.io/?https://github.com/hosseinmoein/DataFrame/blob/mast…), groupby()(https://htmlpreview.github.io/?https://github.com/hosseinmoein/DataFrame/blob/mast…), bucketize()(https://htmlpreview.github.io/?https://github.com/hosseinmoein/DataFrame/blob/mast…). I look forward to hearing what you think
1 points · Open discussion

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