![]() ![]() ![]() Scalable persistent object containers / ZPL 2.1 BSD 2-Clauseīinary diff and patch using the BSDIFF4-format / BSD Apache 2.0įast NumPy array functions specialized for use in Orange / BSDįast NumPy array functions written in Cython. Boost-1.0Īmazon Web Services SDK for Python / Apache 2.0 Statistical and novel interactive HTML plots for Python / BSD 3-Clauseįree peer-reviewed portable C++ source libraries. Replacement for Python lists with better performance / BSD 3-clauseĪ blocking, shuffling and loss-less compression library that can be faster than `memcpy()` / BSD 3-Clause NumPy and Pandas interface to big data / BSD 3-ClauseĮasy, whitelist-based HTML-sanitizing tool / Apache-2.0 ![]() High level chart types built on top of Bokeh / BSD 3-Clause Python library designed for screen-scraping / MITĬollection of freely available tools for computational molecular biology / Biopython License AgreementĮfficient arrays of booleans - C extension / PSF Modern password hashing for your software and your servers / Apache License, Version 2.0 Plot on map projections using matplotlib / MITĪ columnar data container that can be compressed / MIT PyPI mirror client according to PEP 381 / Academic Free License MITīackport of shutil.which from Python 3.3 / PSF2 & MITīackport of new features in Python's weakref module / Python-2.0Ī backport of recent additions to the `collections.abc` module. MITīackport of new features in Python's os module / Python Software FoundationĪ backport of the get_terminal_size function from Python 3.3's shutil. Utilities to internationalize and localize Python applications / BSD 3-clauseīackport of functools.lru_cache from Python 3.3 as published at ActiveState. Microsoft Azure SDK for Python / Apache License 2.0 Self-service finite-state machines for the programmer on the go / MITĪn Auto-Visualization library for pandas dataframes / BSD 3-clause Apache 2.0Īttrs is the Python package that will bring back the joy of writing classes by relieving you from the drudgery of implementing object protocols (aka dunder methods). LGPL 2.1Ĭommunity-developed Python Library for Astronomy / BSDĪ fast PostgreSQL Database Client Library for Python/asyncio. Python ASN.1 library with a focus on performance and a pythonic API / MITĪ abstract syntax tree for Python with inference support. MITīash tab completion for argparse / Apache 2.0īetter dates & times for Python. GPL-3.0Ī small Python module for determining appropriate platform-specific dirs. Tool for (passively) verifying conda recipes and conda packages / BSDĬonvert text with ANSI color codes to HTML or to LaTeX. Tool for encapsulating, running, and reproducing data science projects / BSD 3-Clause MITĭelete Anaconda configuration files / BSDĪ command line client library / BSD 3-clauseĪnaconda Navigator / proprietary - Continuum Analytics, Inc. BSD 3-ClauseĪ database migration tool for SQLAlchemy. MITĪsync client for aws services using botocore and aiohttp / Apache 2Ĭonfigurable, Python 2+3 compatible Sphinx theme. MITĪgate-excel adds read support for Excel files (xls and xlsx) to agate. COPYINGĪgate-dbf adds read support for dbf files to agate. BSD 3-ClauseĪ data analysis library that is optimized for humans instead of machines. Matrices describing affine transformation of the plane. You can find the list of available packages and their channels in the section below.Packages included in Anaconda 2019.07 for 32-bit Windows with Python 2.7 #Ī configuration metapackage for enabling Anaconda-bundled jupyter extensions / BSD To install the packages from other channels, specify a channel name as in the example below: conda install -c įor example, to install the PyTorch* package from the pytorch channel, use the following command: conda install pytorch -c pytorch To install the packages from the Anaconda channel via Conda, execute the following command: conda install įor example, to install the TensorFlow* package, execute the following command: conda install tensorflow To get more details on the AI Analytics Toolkit, visit the Intel AI Analytics toolkit home page.Īctivate the conda base environment via opening Anaconda prompt or executing the following command in command prompt: C:\\anaconda3\Scripts\activate.batĪctivate your existing conda environment: conda activate If you do not have an existing Conda-based python environment, install Conda and Miniconda*. ![]() Intel provides access to the AI Kit components through a public Anaconda repository. ![]()
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