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Anaconda distribution of python 3.4
Anaconda distribution of python 3.4







anaconda distribution of python 3.4
  1. #Anaconda distribution of python 3.4 install#
  2. #Anaconda distribution of python 3.4 Patch#
  3. #Anaconda distribution of python 3.4 portable#
  4. #Anaconda distribution of python 3.4 software#
  5. #Anaconda distribution of python 3.4 code#

Universal character encoding detector / LGPL2 HTML/XML template engine for Python / Repoze MITĪ flexible framework of neural networks / MIT License MPL-2.0įoreign Function Interface for Python calling C code. Python package for providing Mozilla's CA Bundle. BSD-3-ClauseĪ library providing cartographic tools for python / LGPL-3 Httplib2 caching algorithms for use with requests / Apache-2.0Ī decorator for caching properties in classes. Scalable persistent object containers / ZPL 2.1

#Anaconda distribution of python 3.4 Patch#

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

#Anaconda distribution of python 3.4 portable#

BSD-3-Clauseįree peer-reviewed portable C++ source libraries. High level chart types built on top of Bokeh / BSD 3-ClauseĮasy, whitelist-based HTML-sanitizing tool / Apache-2.0Ī blocking, shuffling and loss-less compression library that can be faster than `memcpy()` / BSD-3-Clauseīokeh is an interactive visualization library for modern web browsers. Python library designed for screen-scraping / MITĬollection of freely available tools for computational molecular biology / Biopython License AgreementĮfficient arrays of booleans - C extension / PSF-2.0

#Anaconda distribution of python 3.4 software#

Modern password hashing for your software and your servers / Apache-2.0 PyPI mirror client according to PEP 381 / Academic Free License MITīackport of new features in Python's os module / Python Software Foundationīackport of new features in Python's weakref module / Python-2.0 Namespace for backported Python features. Utilities to internationalize and localize Python applications / BSD 3-clause Self-service finite-state machines for the programmer on the go / MITĪutoVizWidget: An 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-2.1-or-laterĬommunity-developed Python Library for Astronomy / BSD-3-ClauseĪ fast PostgreSQL Database Client Library for Python/asyncio. MITīash tab completion for argparse / Apache-2.0īetter dates & times for Python / Apache-2.0Ī abstract syntax tree for Python with inference support. GPL-3.0-or-laterĪ small Python module for determining appropriate platform-specific dirs. Tool for encapsulating, running, and reproducing data science projects / BSD-3-ClauseĬonvert text with ANSI color codes to HTML or to LaTeX. MITĭelete Anaconda configuration files / BSD-3-ClauseĪ 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-2.0Ĭonfigurable, 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.

#Anaconda distribution of python 3.4 install#

install Python (only Python version 3.2 or greater is supported).Packages included in Anaconda 2022.10 for 64-bit Windows with Python 3.10 #.

#Anaconda distribution of python 3.4 code#

  • install the Chrono API with C++ source code and build it,.
  • This is the preferred way to have the most updated P圜hrono, but it is more complicated. Until we modify the P圜hrono conda package to automatically install all required dependencies of the necessary version and in the proper order, it is the user's responsibility to ensure version compatibility by following the steps above as listed.Īdvanced users that use the entire Chrono::Engine C++ API can build P圜hrono from scratch. If installed first, the Numpy package would install MKL as its own dependency and, by default, Numpy version 1.24.0 installs MKL version 2022. As such, the P圜hrono conda packages are linked against this specific version of MKL. 7.4 and that the pythonocc-core version 7.4.1 hardcodes a requirement for MKL version 2020. The reason for the specific dependency versions and order of installation of dependency conda packages is related to the fact that Chrono::Cascade uses the API from OpenCascade v.









    Anaconda distribution of python 3.4