Spyder is a powerful, open-source scientific development environment for Python. It is designed to provide an easy-to-use graphical user interface for scientific computing, data analysis, and visualization. Spyder is designed to be a powerful, yet simple-to-use IDE for Python. It is based on the Qt framework and is available for all major platforms, including Windows, Linux, and macOS.
Spyder is an interactive development environment for programming in Python, offering an intuitive graphical user interface to make coding faster and easier.
Features:
— Integrated development environment (IDE): Spyder features an integrated development environment (IDE) for writing, debugging and running code. It includes powerful tools such as an interactive console, variable explorer, file editor, and an integrated debugger.
— Code Editor: The code editor offers syntax highlighting, auto-completion, and code folding. It also supports code refactoring with tools such as find and replace, and search and replace.
— Variable Explorer: The variable explorer allows you to view and edit variables in your code. It also allows you to visualize data in various ways, such as histograms, scatter plots, and line graphs.
— Debugger: The debugger allows you to step through your code and view the values of variables at each step. This helps you find and fix errors in your code.
— Interactive Console: The interactive console allows you to interactively run code and view the results. This is useful for testing code and debugging.
— Profiler: The profiler allows you to measure the performance of your code. This helps you identify performance bottlenecks and optimize your code.
— Unit testing: Spyder includes tools for unit testing, which allow you to test your code and verify that it is working correctly.
— Documentation: Spyder includes extensive documentation and tutorials to help you get started.
— Plugins: Spyder also supports plugins, which allow you to add additional features and functionality to the IDE.
— Cross-platform support: Spyder is available for Windows, Linux, and macOS, so you can use it on any platform.
— Open source: Spyder is open source, so you can contribute to its development and make it even better.
Spyder is a free and open source scientific environment written in Python, for Python, and designed by and for scientists, engineers and data analysts. It is cross-platform, runs on Windows, Linux, and macOS, and is included in the Anaconda Python Distribution.
Minimum System Requirements:
— Operating system: Windows 7/8/10, macOS 10.12 or later, Linux
— Processor: x86-64
— Memory: 2GB RAM
— Hard disk: 1GB free disk space
— Graphics: OpenGL 3.3 compatible
— Python: Python 3.6 or later
— Compiler: gcc 4.2 or later, Visual Studio 2017 or later
Additional Requirements:
— Internet connection for online help and module installation
— Spyder IDE requires additional plugins for specific functionality (e.g. for debugging, code completion, etc.) and these are available via the Spyder Plugin Manager
Spyder 6.0.6rc1
v6.0.6rc1 Release 6.0.6rc1
Spyder 6.1.0a2
Simple installation
The easiest way to start using Spyder is by downloading our own installers for Windows, macOS and Linux:
-
Windows (Windows 10+): Spyder-Windows-x86_64.exe
-
macOS
- M1 (14.0+): Spyder-macOS-arm64.pkg
- Intel (13.0+): Spyder-macOS-x86_64.pkg
-
Linux (CentOS 7+): Spyder-Linux-x86_64.sh
Notes:
- To use packages such as
Scikit-learnorSeabornwith these installers, please read the following entry in our documentation FAQ. - To connect the installers to your current conda or pyenv environments, take a look at this other FAQ .
Advanced installation
Important Notes
- If you are new to Python or the Scientific Python ecosystem, we strongly recommend you to install and use Anaconda. It comes with Spyder and all its dependencies, along with the most important Python scientific libraries (i.e. Numpy, Pandas, Matplotlib, IPython, etc) in a single, easy to use environment.
- We also support
pip, but please be aware thatpipinstallations are for advanced users with good knowledge of all Spyder dependencies. Because of that, all installation problems you encounter are expected to be solved by you.
Anaconda
You can easily install this version if you use Anaconda by closing Spyder and then running the following command in a system terminal (Anaconda Prompt on Windows, xterm on Linux or Terminal.app on macOS):
conda create -n spyder-env -c conda-forge python=3.11
conda activate spyder-env
conda install -c conda-forge -c conda-forge/label/spyder_dev -c conda-forge/label/spyder_kernels_dev spyder=6.1.0a2
Pip
You can also use pip to update Spyder with the following command in a system terminal (cmd.exe on Windows, xterm on Linux or Terminal.app on macOS):
pip install -U --pre spyder
Note: Do not use this command if you are using Anaconda because it will break your installation.
Contributors
A big thank you to all the contributors that made this release possible: @athompson673 @jsbautista @ccordoba12 @hlouzada @mrclary @jitseniesen @dalthviz and all other contributors that have made changes for the 6.0.x releases (6.0.5) 🎉
Release notes
For the full list of closed issues and merged pull requests in this release, please see our Changelog.
Spyder 6.0.5
Simple installation
The easiest way to start using Spyder is by downloading our own installers for Windows, macOS and Linux:
-
Windows (Windows 10+): Spyder-Windows-x86_64.exe
-
macOS
- M1 (14.0+): Spyder-macOS-arm64.pkg
- Intel (13.0+): Spyder-macOS-x86_64.pkg
-
Linux (CentOS 7+): Spyder-Linux-x86_64.sh
Notes:
- To use packages such as
Scikit-learnorSeabornwith these installers, please read the following entry in our documentation FAQ. - To connect the installers to your current conda or pyenv environments, take a look at this other FAQ .
Advanced installation
Important Notes
- If you are new to Python or the Scientific Python ecosystem, we strongly recommend you to install and use Anaconda. It comes with Spyder and all its dependencies, along with the most important Python scientific libraries (i.e. Numpy, Pandas, Matplotlib, IPython, etc) in a single, easy to use environment.
- We also support
pip, but please be aware thatpipinstallations are for advanced users with good knowledge of all Spyder dependencies. Because of that, all installation problems you encounter are expected to be solved by you.
Anaconda
You can easily install this version if you use Anaconda by closing Spyder and then running the following command in a system terminal (Anaconda Prompt on Windows, xterm on Linux or Terminal.app on macOS):
conda create -n spyder-env -c conda-forge python=3.11
conda activate spyder-env
conda install -c conda-forge spyder=6.0.5
Pip
You can also use pip to update Spyder with the following command in a system terminal (cmd.exe on Windows, xterm on Linux or Terminal.app on macOS):
Note: Do not use this command if you are using Anaconda because it will break your installation.
Contributors
A big thank you to all the contributors that made this patch release possible: @rear1019 @dalthviz @impact27 @ccordoba12 @jsbautista @mrclary@spyder-bot (our translators) @meeseeksmachine (backport bot) 🎉
Release notes
For the full list of closed issues and merged pull requests in this release, please see our Changelog.
Spyder 6.0.5rc1
v6.0.5rc1 Release 6.0.5rc1
Spyder 6.1.0a1
Spyder 6.0.4
Spyder 6.0.4rc1
v6.0.4rc1 Release 6.0.4rc1
Spyder 6.0.3
Spyder 6.0.3rc2
v6.0.3rc2 Release 6.0.3rc2
Spyder 6.0.3rc1
v6.0.3rc1 Release 6.0.3rc1
If you have ever heard of the Python programming language when it comes to data analysis then this is the best tool that runs in such an environment. It is a tool that comes in handy to make sure that you are able to run and manage all the function of this kit in such a manner that you just have to make sure that you are at par when it comes to data analysis, presentation as well as any other data computation.
It was designed for the scientists, engineers and also all the data experts. Just from the description, you will get to notice that this is a tool that needs some level of experience when handling it and in this case, you just have to make sure that you are able to deal with all kind of information in just a click of a button.
It is a tool that comes in handy for all users although at least you must just have some level of experience in using the Python language to handle and successfully use this tool. It is a comprehensive application owing to the fact that the interface also looks a little bit cluttered.
Spyder is licensed as freeware for PC or laptop with Windows 32 bit and 64 bit operating system. It is in others programming category and is available to all software users as a free download.
| Share |
| Give a rating |
|
(1 votes, average: 4.00 out of 5) Loading… |
| Author |
|
Pierre Raybaut
|
| Last Updated On |
| June 14, 2018 |
| Runs on |
| Windows 10 / Windows 8 / Windows 7 / Windows Vista / XP |
| Total downloads |
| 3,781 |
| License |
|
Free |
| File size |
| 3,44 MB |
| Filename |
|
spyder-2.3.8.win32-py3.4.exe spyder-2.3.8.win-amd64-py3.4.exe |
conda
7.5 MB
|
win-64/spyder-4.0.0rc3-py36_0.tar.bz2
5 years and 5 months ago
292
beta
conda
7.6 MB
|
win-64/spyder-4.0.0rc3-py37_0.tar.bz2
5 years and 5 months ago
854
beta
conda
7.5 MB
|
win-64/spyder-4.0.0rc3-py27_0.tar.bz2
5 years and 5 months ago
51
beta
conda
7.4 MB
|
osx-64/spyder-4.0.0rc3-py27_0.tar.bz2
5 years and 5 months ago
80
beta
conda
7.4 MB
|
osx-64/spyder-4.0.0rc3-py37_0.tar.bz2
5 years and 5 months ago
191
beta
conda
7.4 MB
|
osx-64/spyder-4.0.0rc3-py36_0.tar.bz2
5 years and 5 months ago
141
beta
conda
7.4 MB
|
linux-64/spyder-4.0.0rc3-py36_0.tar.bz2
5 years and 5 months ago
212
beta
conda
7.5 MB
|
linux-64/spyder-4.0.0rc3-py27_0.tar.bz2
5 years and 5 months ago
183
beta
conda
7.4 MB
|
linux-64/spyder-4.0.0rc3-py37_0.tar.bz2
5 years and 5 months ago
412
beta
conda
7.5 MB
|
win-64/spyder-4.0.0rc2-py37_0.tar.bz2
5 years and 5 months ago
628
beta
conda
7.5 MB
|
win-64/spyder-4.0.0rc2-py27_0.tar.bz2
5 years and 5 months ago
46
beta
conda
7.5 MB
|
win-64/spyder-4.0.0rc2-py36_0.tar.bz2
5 years and 5 months ago
174
beta
conda
7.4 MB
|
osx-64/spyder-4.0.0rc2-py37_0.tar.bz2
5 years and 5 months ago
120
beta
conda
7.4 MB
|
osx-64/spyder-4.0.0rc2-py36_0.tar.bz2
5 years and 5 months ago
55
beta
conda
7.4 MB
|
osx-64/spyder-4.0.0rc2-py27_0.tar.bz2
5 years and 5 months ago
33
beta
conda
7.4 MB
|
linux-64/spyder-4.0.0rc2-py27_0.tar.bz2
5 years and 5 months ago
33
beta
conda
7.4 MB
|
linux-64/spyder-4.0.0rc2-py36_0.tar.bz2
5 years and 5 months ago
52
beta
conda
7.5 MB
|
linux-64/spyder-4.0.0rc2-py37_0.tar.bz2
5 years and 5 months ago
164
beta
conda
7.5 MB
|
win-64/spyder-4.0.0rc1-py37_0.tar.bz2
5 years and 6 months ago
958
beta
conda
7.5 MB
|
win-64/spyder-4.0.0rc1-py36_0.tar.bz2
5 years and 6 months ago
277
beta
conda
7.5 MB
|
win-64/spyder-4.0.0rc1-py27_0.tar.bz2
5 years and 6 months ago
51
beta
conda
7.3 MB
|
osx-64/spyder-4.0.0rc1-py36_0.tar.bz2
5 years and 6 months ago
83
beta
conda
7.3 MB
|
osx-64/spyder-4.0.0rc1-py27_0.tar.bz2
5 years and 6 months ago
44
beta
conda
7.4 MB
|
osx-64/spyder-4.0.0rc1-py37_0.tar.bz2
5 years and 6 months ago
184
beta
conda
7.4 MB
|
linux-64/spyder-4.0.0rc1-py27_0.tar.bz2
5 years and 6 months ago
58
beta
We have shared the latest setup of Spyder python here and free download links are available for download. Spyder is an advanced IDE that comes equipped with a variety of tools to help optimize code. It can also be used to debug and trace code interactively.
Some of the key features include a multi-language editor that supports various powerful editing practices such as syntax highlighting, real-time analysis and on-demand completion. It can also be extended with specific plugins.
Table of Contents
Features
Spyder is one of the most advanced Python IDEs for Windows PC. It weaves an intricate web of tools to help optimize code for maximum performance. This includes a static analyzer, an interactive debugger and a profiler that helps identify bottlenecks. It also offers a variety of tools for inspecting and editing variables, functions and objects.
The powerful multi-language editor features a function/class browser, real-time analysis of code, automatic code completion and horizontal/vertical splitting. It also identifies potential errors in the code by highlighting warnings and pointing out syntax mistakes.
Other important features include a variable explorer that displays all the variables used in the IPython console. It shows the data in different tabs for easy navigation and can be edited from the GUI itself. It can also display the data in a graph to better understand its behavior. Moreover, it allows the user to open a notebook and connect it to the console to view the variables.
Installation
There are few integrated development environments (IDEs) for Python that can rival Spyder’s power and functionality. The free software IDE offers a variety of features that make it the most popular among Python developers and data scientists.
Spyder supports multiple languages, including non-Python scripts, and it runs on Windows, Linux and macOS. It’s relatively easy to install, but it’s important to read and follow the instructions carefully. You’ll need to lower your security settings temporarily during the process.
Spyder’s four main panes include a function/class browser, real-time code analysis tools (pyflakes, pylint and pycodestyle) and automatic code completion. It also offers a powerful debugger that’s backed by the ipdb tool. Users can view the program’s execution flow and set breakpoints with this debugger. They can also inspect variables, plot a histogram or timeseries and edit Pandas index/series/dataframes, Numpy arrays and PIL/Pillow images. The IDE can also render object documentation in real-time and support multiple file formats.
Scripting
Spyder Python For Windows is a fully functional IDE that can handle the majority of Python data science tasks. It integrates well with popular libraries such as NumPy (linear algebra), SciPy, and Matplotlib (interactive 2D/3D plotting).
A powerful multi-language code editor is one of the core features of this IDE. It helps users work efficiently with a function/class browser, code analysis tools, automatic code completion, horizontal-vertical splitting, and go-to-definition.
Spyder enables users to customize its interface with its various configuration settings. This includes options for theme, syntax color, font size etc. It also supports the IPython console and comes with a debugger that can be used to troubleshoot problems with your code.
Other useful features include a variable explorer and a file explorer. It can even render charts right in the console. Moreover, it allows users to run code by line, cell, and file. This makes it easy to optimize your scripts.
Testing
Designed by and for scientists, engineers and data analysts, Spyder Python For Windows is an all-in-one scientific development environment. It combines advanced editing, analysis, debugging and profiling functionality of an integrated development environment (IDE) with deep inspection and stunning visualization capabilities.
It can render documentation in real-time for any class or function, whether external or user-created. It can also inspect Numpy arrays, Pandas index/series/dataframes, PIL/Pillow images and other object. It can even help you optimize your code through an analyzer, a debugger and a profiler. Its project support and built-in file explorer make it easy to keep your code organized and find what you need.
It takes a bit of time for the application to start up and there are some occasional lags but it is otherwise an efficient program. It is recommended by a lot of users. The only major drawback is that it lacks oomph for dealing with large datasets; for that, you would want to try Jupyter Notebook.