Fast.ai with Numpy and Pandas
kCloudHub LLC · Software Development
Certification per Microsoft Marketplace.
Evidence tier Source Confirmed · 7 captures on record
What the publisher says
As described on Microsoft Marketplace.
Fast.ai is a powerful open-source deep learning library built on top of Python and PyTorch, used for artificial intelligence, machine learning, computer vision, natural language processing, and data analysis applications.
Key Features of Fast.ai with NumPy and Pandas:
Show the rest of the publisher’s description (19 more lines)
- Open-source deep learning framework maintained by the Fast.ai community.
- Built on top of PyTorch for advanced neural network and AI model development.
- Uses NumPy for high-performance numerical and mathematical computations.
- Uses Pandas for data analysis, data manipulation, and structured dataset processing.
- Provides high-level APIs for computer vision, NLP, tabular data, recommendation systems, and deep learning tasks.
- Optimized for fast CPU/GPU-based machine learning and large-scale data processing.
- Widely used in data science, artificial intelligence, research, and production environments.
- Compatible with Linux, Windows, and macOS platforms.
Fast.ai with NumPy and Pandas Usage:
$ sudo su
$ cd /opt
$ mkdir fastai
$ cd fastai
$ python3 -m venv venv
$ source venv/bin/activate
$ pip install numpy pandas fastai
$ python -c "import fastai, numpy, pandas; print(fastai.__version__)"
Disclaimer:
Fast.ai, NumPy, and Pandas are independent open-source software projects released under their respective open-source licenses and maintained by their developer communities. These tools are widely used for educational, research, scientific, machine learning, and production applications. Users should review the official documentation and properly configure Python environments, dependencies, and hardware acceleration settings before deploying AI or deep learning applications in production environments.
Agent build and provenance
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Compliance
- FedRAMPConfirmedNot listed90%, registry-checkedNo FedRAMP Marketplace entry matched this vendor's domain, checked 2026-08-27registry recordas observed 2026-08-27
Confirmed means matched to a public authoritative registry. Claimed means the vendor or its listing states it, not yet cross-checked. A framework not shown was not found in any source we hold, which is not evidence against it. Not listed means a scoped registry check found no match for this vendor's domain: a No is a scoped registry check, not a compliance judgment. Confidence bands: 95% domain-verified, 90% registry-checked, 80% self-attested, 70% weak signal. Self-attested items marked “vendor's site” are gathered from the vendor's own website and are not verified by us.
Vendor
External enrichment · as of 2026-08-29
Sources
Publisher resources
1 linkLinked repositories
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