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Conda is an open-source, [2] cross-platform, [3] language-agnostic package manager and environment management system. It was originally developed to solve package management challenges faced by Python data scientists , and today is a popular package manager for Python and R .
It downloads, compiles, distributes, and uploads packages—called crates; CocoaPods: a dependency manager for Swift and Objective-C Cocoa projects; Composer: a dependency Manager for PHP; Conda: a package manager for open data science platform of the Python and R; CPAN: a programming library and package manager for Perl;
Before then, py2exe was made only for Python 2, [4] and it was necessary to use an alternative like cx_Freeze for Python 3 code. Although this program transforms a .py file to an .exe, it does not make it run faster because py2exe bundles the Python bytecode without converting it to machine-code.
Python Robotics (Pyro) is a project designed to create an easy-to-use interface for accessing and controlling a wide variety of real and simulated robots. History [ edit ]
Although the Python interface is more polished and the primary focus of development, PyTorch also has a C++ interface. [ 14 ] A number of pieces of deep learning software are built on top of PyTorch, including Tesla Autopilot , [ 15 ] Uber 's Pyro, [ 16 ] Hugging Face 's Transformers, [ 17 ] PyTorch Lightning , [ 18 ] [ 19 ] and Catalyst.
pip (also known by Python 3's alias pip3) is a package-management system written in Python and is used to install and manage software packages. [4] The Python Software Foundation recommends using pip for installing Python applications and its dependencies during deployment. [5]
1.2 March 29, 2011 new Finder, Recent changes tool, improved Help, better themes 1.3 August 2011 Zinc, headless images 1.4 April 2012 [11] Ring metamodel, better code simulator 2.0 March 18, 2013 [12] browser improvements, QA tools, Fuel serializer, better files API 3.0 April 2014 [13] new modular compiler (Opal) and debugger, continuations 4.0
Its syntax is very close to Python and it makes it easy for Python programmers to write non-Python supporting code for interfacing modules in a language which is as close to Python as possible. Python itself only provides a C API to write extension modules, which allows writing of functions and datatypes in C. [ discuss ] These can then be ...