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One thing that can occasionally cause problems for Anaconda is the name of the user account on your computer. If you encounter problems during or after installation, there is some help provided here. Additional installation instructions can be found here.

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The page should detect your operating system automatically, but otherwise click on the relevant tab for Windows or macOS.

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Anaconda installs these separate pieces of software and provides a convenient environment in which to organize, update, and add to them.ĭownload the installer for the Python 3 version of Anaconda here. Anaconda is a ‘distribution’ of various related pieces of software used in data science.

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The easiest way to get Python 3 on the most common operating systems (Windows and macOS), is to install a program called Anaconda. ^ 'Spyder Documention – Features Overview'.^ 'QtPy: Abstraction layer for PySide/PyQt4/PyQt5'.Archived from the original on 20 August 2013. ^ 'Pylint extension – Spyder 2.2 documentation'.

Archived from the original on 24 October 2013. ^ 'SpyderPlugins – spyderlib – Plugin development – Spyder is the Scientific PYthon Development EnviRonment'.Spyder-Line-Profiler and Spyder-Memory-Profiler, extending the built-in profiling functionality to include testing an individual line, and measuring memory usage.

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Spyder-AutoPEP8, which can automatically conform code to the standard PEP 8 code style.

Spyder-Vim, containing commands and shortcuts emulating the Vim text editor.

Using conda: conda install spyder-terminal -c spyder-ide.

Spyder-Terminal, adding the ability to open, control and manage cross-platform system shells within Spyder.

Spyder-Reports, enabling use of literate programming techniques in Python.

Using conda: conda install spyder-notebook -c spyder-ide.

Spyder-Notebook, allowing the viewing and editing of Jupyter Notebooks within the IDE.

Spyder-Unittest, which integrates the popular unit testing frameworks Pytest, Unittest and Nose with Spyder.

An internal console, allowing for introspection and control over Spyder's own operation.

A history log, recording every user command entered in each console.

An online help browser, allowing users to search and view Python and package documentation inside the IDE.

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A 'Find in Files' feature, allowing full regular expression search over a specified scope.

A built-in file explorer, for interacting with the filesystem and managing projects.

Project support, allowing work on multiple development efforts simultaneously.

Static code analysis, powered by Pylint.

A debugger linked to IPdb, for step-by-step execution.

A Help pane able to retrieve and render rich text documentation on functions, classes and methods automatically or on-demand.

The ability to explore and edit variables from a GUI.

An editor with syntax highlighting, introspection, code completion.

QtPy, a thin abstraction layer developed by the Spyder project and later adopted by multiple other packages, provides the flexibility to use either backend. Spyder uses Qt for its GUI and is designed to use either of the PyQt or PySide Python bindings. It is available cross-platform through Anaconda, on Windows, on macOS through MacPorts, and on major Linux distributions such as Arch Linux, Debian, Fedora, Gentoo Linux, openSUSE and Ubuntu.

Spyder is extensible with first-party and third-party plugins, includes support for interactive tools for data inspection and embeds Python-specific code quality assurance and introspection instruments, such as Pyflakes, Pylint and Rope. Initially created and developed by Pierre Raybaut in 2009, since 2012 Spyder has been maintained and continuously improved by a team of scientific Python developers and the community. Spyder integrates with a number of prominent packages in the scientific Python stack, including NumPy, SciPy, Matplotlib, pandas, IPython, SymPy and Cython, as well as other open-source software. Spyder is an open-source cross-platform integrated development environment (IDE) for scientific programming in the Python language.

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