flambeau
q
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flambeau | q | |
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2 | 46 | |
82 | 10,122 | |
- | - | |
6.2 | 2.1 | |
7 months ago | 4 days ago | |
Nim | Python | |
- | GNU General Public License v3.0 only |
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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.
flambeau
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Deeplearning in Nim?
In particular for deep learning as bobsyourunkl already mentioned there is arraymancer on the one hand and also flambeau on the other. The latter is a Nim wrapper around libtorch (i.e. the PyTorch C++ backend). It is missing things (to be wrapped by adding a few lines) and has some rough edges, but if one needs to get stuff done, it's possible.
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Compile Python applications into stand-alone executables
That’s one thing I like about Nim. It can compile to C++ and so can directly wrap C++ code. While Nim’s ecosystem is small it’s easy enough to wrap most any C/C++ library. It’s great for OpenCV. Some folks have been updating direct PyTorch C++ api (1)!
1: https://github.com/SciNim/flambeau
q
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I wrote this iCalendar (.ics) command-line utility to turn common calendar exports into more broadly compatible CSV files.
CSV utilities (still haven't pick a favorite one...): https://github.com/harelba/q https://github.com/BurntSushi/xsv https://github.com/wireservice/csvkit https://github.com/johnkerl/miller
- Segítség kérés Excel automatizáláshoz
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Show HN: ClickHouse-local – a small tool for serverless data analytics
I think they're talking about https://github.com/harelba/q, which is not very fast.
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sqly - execute SQL against CSV / JSON with shell
Apparently, there were many who thought the same thing; Tools to execute SQL against CSV were trdsql, q, csvq, TextQL. They were highly functional, hoewver, had many options and no input completion. I found it just a little difficult to use.
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Q – Run SQL Directly on CSV or TSV Files
Hi, author of q here.
Regarding the error you got, q currently does not autodetect headers, so you'd need to add -H as a flag in order to use the "country" column name. You're absolutely correct on failing-fast here - It's a bug which i'll fix.
In general regarding speed - q supports automatic caching of the CSV files (through the "-C readwrite" flag). Once it's activated, it will write the data into another file (with a .qsql extension), and will use it automatically in further queries in order to speed things considerably.
Effectively, the .qsql files are regular sqlite3 files (with some metadata), and q can be used to query them directly (or any regular sqlite3 file), including the ability to seamlessly join between multiple sqlite3 files.
http://harelba.github.io/q/#auto-caching-examples
- PostgreSQL alternative for Large amounts of data
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q VS trdsql - a user suggested alternative
2 projects | 25 Jun 2022
- One-liner for running queries against CSV files with SQLite
What are some alternatives?
Nimfem - A tiny finite element library in Nim.
textql - Execute SQL against structured text like CSV or TSV
jellyfin-mpv-shim - MPV Cast Client for Jellyfin
csvq - SQL-like query language for csv
choosenim - Tool for easily installing and managing multiple versions of the Nim programming language.
octosql - OctoSQL is a query tool that allows you to join, analyse and transform data from multiple databases and file formats using SQL.
false-positive-malware-reporting - Trying to release your software sucks, mostly because of antivirus false positives. I don't have an answer, but I do have a list of links to help get your code whitelisted.
InquirerPy - :snake: Python port of Inquirer.js (A collection of common interactive command-line user interfaces)
Nuitka - Nuitka is a Python compiler written in Python. It's fully compatible with Python 2.6, 2.7, 3.4, 3.5, 3.6, 3.7, 3.8, 3.9, 3.10, and 3.11. You feed it your Python app, it does a lot of clever things, and spits out an executable or extension module.
xsv - A fast CSV command line toolkit written in Rust.
nimhdf5 - Wrapper and some simple high-level bindings for the HDF5 library for the Nim language
ledger - Double-entry accounting system with a command-line reporting interface