Conda packages related to data anlaytics cc
| numpy | NumPy is the fundamental package for scientific computing with Python. | conda install numpy |
|---|---|---|
| 10 | 11 | |
| scipy | SciPy is a Python-based ecosystem of open-source software for mathematics, science, and engineering. | conda install anaconda::scipy |
| 14 | 14 | |
| scikit-learn | Scikit-learn is a Python module for machine learning built on top of SciPy, providing tools for model fitting, data preprocessing, and evaluation. | conda install -c conda-forge scikit-learn |
| 17 | 18 | |
| keras | Deep Learning for Python | conda install -c conda-forge keras |
| 21 | 21 | |
| pytorch | PyTorch is an optimized tensor library for deep learning using GPUs and CPUs. | conda install pytorch::pytorch |
| 24 | 24 | |
| dask | Dask is a flexible parallel computing library for analytics. | conda install dask -c conda-forge |
| 27 | 27 | |
| pyarrow | Python library for Apache Arrow, which provides a Python API for functionality provided by the Arrow C++ libraries. | conda install -c conda-forge pyarrow |
| 30 | 31 | |
| plotly | An interactive, browser-based graphing library for Python that makes interactive, publication-quality graphs online. | conda install -c plotly plotly |
| 34 | 35 | |
| graphviz | Open source graph visualization software that represents structural information as diagrams of abstract graphs and networks. | conda install -c conda-forge graphviz |
| 37 | 37 | |
| fastparquet | Python interface to the Parquet file format | conda install -c conda-forge fastparquet |
| 40 | 40 |
The above text was generated by a large language model (LLM) and its accuracy has not been validated. This page is part of 'LLMs-on-LLMs,' a Github repository by Daniel Rosehill which explores how curious humans can use LLMs to better their understanding of LLMs and AI. However, the information should not be regarded as authoritative and given the fast pace of evolution in LLM technology will eventually become deprecated. This footer was added at 16-Nov-2024.