NumCpp
vinum
| NumCpp | vinum | |
|---|---|---|
| 4 | 5 | |
| 3,633 | 65 | |
| - | - | |
| 2.5 | 0.0 | |
| 11 days ago | over 3 years ago | |
| C++ | C++ | |
| MIT License | BSD 3-clause "New" or "Revised" License |
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NumCpp
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Machine Learning using C++ vs Python
Yeah, as someone who writes C++ daily for their ML related job, I concur that the cost of executing a convolutions dwarves the overhead of calling from Python. So as much as I like C++ over Python (because static compilation to find little typos or type mismatches ahead of time is much nicer than exploding 5 minutes later into my batched vision recognition problem 😠), generally for small problems, Python is a nice quick and dirty approach. I do have my eye though on this little C++ numpy clone.
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Can i use numpy with c or c++ ?
Despite being written in C itself, the primary external API is for Python, and though it is possible to call via C, it's quite ungainly (several ref-counted Py_* calls and structs). It's probably easier to just consume a library that targets C++ directly like xtensor (https://xtensor.readthedocs.io/en/latest/numpy.html) or NumCpp (https://github.com/dpilger26/NumCpp).
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trouble with linspace functions
I am trying to feed 2 different 3 column 1 row arrays into a linspace function using the NumCPP package, but i'm getting errors such as:
- Read python pickle files in C++
vinum
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Practical SQL for Data Analysis(what you can do without Pandas)
Following similar observations I was wondering if one can actually execute SQL queries inside of Python process with the access to native Python functions and Numpy as UDFs. Thanks to Apache Arrow one can mix C++ and Python operators without need to copy the data and essentially combine DataFrame API with SQL, all while within the confines of the same Python process.
https://github.com/dmitrykoval/vinum
Vinum allows users to write queries which may invoke any Numpy or Python functions as UDFs available to the interpreter.
- Vinum is a SQL query processor for Python, designed for data analysis workflows
- dmitrykoval/vinum Vinum is a SQL query processor for Python, designed for data analysis workflows and in-memory analytics.
- Vinum – SQL Processor for Python with native Python, Numpy UDF support.
- Show HN: Vinum – SQL Processor for Python with Native Python, Numpy UDF Support
What are some alternatives?
eigen
siuba - Python library for using dplyr like syntax with pandas and SQL
RxCpp - Reactive Extensions for C++
turbodbc - Turbodbc is a Python module to access relational databases via the Open Database Connectivity (ODBC) interface. The module complies with the Python Database API Specification 2.0.
examples - Example data structures and algorithms
datatable - A Python package for manipulating 2-dimensional tabular data structures
tuninglib - A C++ Class and Template Library for Performance Critical Applications
DuckDB - DuckDB is an analytical in-process SQL database management system
casadi - CasADi is a symbolic framework for numeric optimization implementing automatic differentiation in forward and reverse modes on sparse matrix-valued computational graphs. It supports self-contained C-code generation and interfaces state-of-the-art codes such as SUNDIALS, IPOPT etc. It can be used from C++, Python or Matlab/Octave.
pymport - Use Python libraries from Node.js
Data-Structures-and-Algorithms - Data Structures and Algorithms implemented In Python, C, C++, Java or any other languages. Aimed to help strengthen the concepts of DSA. Give a Star 🌟 if it helps you.
q - q - Run SQL directly on delimited files and multi-file sqlite databases