The spyder from wanjarus

Important Announcement: Spyder needs your support!

Since mid-November 2017, Anaconda, Inc has stopped funding Spyder development, after doing so for the past 18 months. Therefore, without additional funds, development will shift to maintaining Spyder 3 at a slower pace than before, while working toward an eventual Spyder 4 feature release sometime in the future.

However, with your contribution of effort and funding, we will be able to both continue to maintain Spyder 3 at a faster pace, and fund development of new features for Spyder 4 (such as a major overhaul to improve code completion, and a much-improved new debugger, both of which you've been requesting) at a greatly accelerated rate.

There are many ways to help with development, many of which don't require any programming, and if you're able to make a financial contribution to help support your favorite community IDE, you can donate through our OpenCollective.

We appreciate all the help you can provide us and can't thank you enough for supporting the work of the Spyder devs and Spyder development! To learn more about the current situation and our future plans, please read this page.

Overview

Spyder is a Python development environment with many features for research, data analysis, and scientific package creation:

Editor

Work efficiently in a multi-language editor with a function/class browser, real-time code analysis tools (pyflakes, pylint, and pycodestyle), automatic code completion (jedi and rope), horizontal/vertical splitting, and go-to-definition.
Interactive console

Multiple IPython consoles with workspace and debugging support to instantly evaluate the code written in the Editor. Spyder consoles also come with full Matplotlib integration.
Documentation viewer

Render documentation in real-time with Sphinx for any class or function, whether external or user-created from either the Editor or a Console.
Variable explorer

Inspect any variables, functions or objects created during your session. Editing and interaction is supported with many common types, including numeric/strings/bools, Python lists/tuples/dictionaries, dates/timedeltas, Numpy arrays, Pandas index/series/dataframes, PIL/Pillow images, and more.
Development tools

Examine your code with the static analyzer, trace its execution with the interactive debugger, measure its performance with the profiler, and keep things organized with project support and a builtin file explorer.
Find in files

Search for queries across multiple files in your project, with full support for regular expressions.
History log

Browse an automatically de-duplicated listing of every command you run on any Spyder console.

Spyder may also be used as a PyQt5 extension library (module spyder). For example, the Python interactive shell widget used in Spyder may be embedded in your own PyQt5 application.

Documentation

You can read the Spyder documentation online at PythonHosted.

Installation

For a detailed guide to installing Spyder, please refer to our installation instructions.

The easiest way to install Spyder on any of our supported platforms is to download it as part of the Anaconda distribution, and use the conda package and environment manager to keep it and your other packages installed and up to date.

If in doubt, you should always install Spyder via this method to avoid unexpected issues we are unable to help you with; it generally has the least likelihood of potential pitfalls for non-experts, and we may be able to provide limited assistance if you do run into trouble.

Other install options exist, including:

The WinPython distribution for Windows
The MacPorts project for macOS
Your distribution's package manager (i.e. apt-get, yum, etc) on Linux
The pip package manager, included with most Python installations

However, we lack the resources to provide individual support for users who install via these methods, and they may be out of date or contain bugs outside our control, so we recommend the Anaconda version instead if you run into issues.

Troubleshooting

Before posting a report, please carefully read our Troubleshooting Guide and search the issue tracker for your error message and problem description, as the great majority of bugs are either duplicates, or can be fixed on the user side with a few easy steps. Thanks!

Contributing

Everyone is welcome to help with Spyder. Please read our contributing instructions to get started!

Running from a Github clone

Spyder can be run directly from the source code, hosted on the Spyder github repo. You may want to do this for fixing bugs in Spyder, adding new features, learning how Spyder works or to try out development versions before they are officially released.

If using conda (strongly recommended), this can be done by running the following from the command line (the Anaconda Prompt, if on Windows):

conda install spyder
conda remove spyder
git clone https://github.com/spyder-ide/spyder.git
cd spyder
python bootstrap.py

Alternatively, you can use pip to install PyQt5 separately and the other runtime dependencies listed below. However, beware: this method is recommended for experts only, and you'll need to solve any problems on your own. See the installation instructions for more details.

Dependencies

Important Note: Most or all of the dependencies listed below come with Anaconda and other scientific Python distributions, so you don't need to install them seperatly in those cases.

Build dependencies

When installing Spyder from its source package, the only requirement is to have a Python version greater than 2.7 or 3.4 (Python <=3.3 is no longer supported).

Runtime dependencies

Python 2.7 or 3.4+: The core language Spyder is written in and for.
PyQt5 5.2+: Python bindings for Qt, used for Spyder's GUI.
qtconsole 4.2.0+: Enhanced Python interpreter.
Rope 0.9.4+ and Jedi 0.11.0+: Editor code completion, calltips and go-to-definition.
Pyflakes: Real-time code analysis.
Sphinx: Rich text mode for the Help pane.
Pygments 2.0+: Syntax highlighting for all file types it supports.
Pylint: Static code analysis.
Pycodestyle: Real-time code style analysis.
Psutil: CPU and memory usage on the status bar.
Nbconvert: Manipulation of notebooks in the Editor.
Qtawesome 0.4.1+: To have an icon theme based on FontAwesome.
Pickleshare: Show import completions on the Python consoles.
PyZMQ: Run introspection services asynchronously.
QtPy 1.2.0+: Abstraction layer for Python Qt bindings so that Spyder can run on multiple Qt bindings and versions.
Chardet: Character encoding auto-detection in Python.
Numpydoc: Used by Jedi to get function return types from Numpydocstrings.
Cloudpickle: Serialize variables in the IPython kernel to send to Spyder.