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Latest Version
Spyder Python 6.1.3 LATEST
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Windows 10 (64-bit) / Windows 11
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Filename
Spyder-Windows-x86_64.exe
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MD5 Checksum
d1368c388d7297a949d2678cd33480ef
It offers a unique combination of the advanced editing, analysis, debugging, and profiling functionality of a comprehensive development tool with the data exploration, interactive execution, deep inspection, and beautiful visualization capabilities of a scientific package.
Spyder Python IDE, short for "Scientific PYthon Development Environment," is an open-source IDE primarily focused on data analysis and scientific computing using Python. It is built on top of well-known libraries like NumPy, SciPy, Matplotlib, and IPython, making it an ideal choice for scientists, engineers, and researchers.
Beyond its many built-in features, its abilities can be extended even further via its plugin system and API. Furthermore, it can also be used as a PyQt5 extension library, allowing developers to build upon its functionality and embed its components, such as the interactive console, in their own PyQt software. Core building blocks of a powerful IDE!
The easy way to get up and running with Spyder Python IDE 64-bit on any of the 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.
Features
- Interactive Console: A built-in IPython console that allows you to execute Python code interactively and view the results immediately.
- Code Editor: A powerful code editor with features like syntax highlighting, code completion, and linting for efficient code writing.
- Variable Explorer: An interactive tool that displays variables, their values, and data frames, helping you manage and visualize data.
- Debugger: A debugger with breakpoints, variable inspection, and step-by-step execution to assist in troubleshooting code.
- Integrated Documentation: Access to Python documentation and function tooltips within the IDE for quick reference.
- Conda Integration: Seamless integration with Conda environments for managing Python packages and dependencies.
- Plugins: Extensible through plugins, allowing you to customize the ide to your specific needs.
- Version Control: Integration with version control systems like Git for efficient collaboration.
It offers a clean and intuitive user interface that's well-organized to enhance productivity.
The primary workspace includes the code editor, interactive console, and variable explorer. The layout can be customized to suit your preferences, and you can switch between light and dark themes.
Installation and Setup
Installing the program is relatively straightforward, especially if you use the Anaconda distribution, where it comes pre-installed. For other platforms, you can install the IDE using pip:
pip install spyder
Once installed, you can launch Spyder from the command line or your preferred Python distribution. Spyder's initial setup typically involves configuring your Python interpreter and environment, which is done through the "Preferences" menu.
How to Use
- Code Editing: Open or create Python scripts in the code editor. Utilize code completion (Ctrl+Space), linting, and auto-indentation to write clean code.
- Interactive Console: Execute code snippets directly in the console for testing and experimentation.
- Variable Explorer: Explore and manage variables, arrays, and data frames. You can plot data directly from the variable explorer.
- Debugger: Set breakpoints, run code in debugging mode, and inspect variables during debugging sessions.
- Conda Integration: Create and manage Conda environments to isolate project dependencies.
- Plugins: Install and configure plugins to extend Spyder's functionality for specific tasks.
Can I use Spyder for web development or other non-scientific Python projects?
While Spyder is optimized for scientific computing, you can use it for general Python development. However, other IDEs like PyCharm or Visual Studio Code might be better suited for non-scientific projects.
Does Spyder support Jupyter notebooks?
Yes, it provides Jupyter Notebook support, allowing you to create and run Jupyter notebooks within the IDE.
What are the system requirements for Spyder?
Spyder is cross-platform and can run on Windows, macOS, and Linux. It requires Python to be installed, and the system requirements depend on your specific Python packages and project needs.
Is Spyder suitable for beginners in Python programming?
It can be used by beginners, but it may have a steeper learning curve compared to simpler IDEs. However, its powerful features can be advantageous as your Python skills grow.
Is Spyder FREE to use?
Yes, the IDE is an open-source project released under the MIT license, making it FREE for personal and commercial use.
Alternatives
Anaconda: The World`s Most Popular Python/R Data Science Platform for Windows PC!
Visual Studio Code: A versatile and highly customizable code editor with Python support through extensions.
Octave: Powerful mathematics-oriented syntax with built-in plotting and visualization tools.
System Requirements
The system requirements for Spyder are relatively modest, as it primarily relies on Python and its associated packages.
To run the app effectively, ensure you have a compatible Python distribution installed.
The requirements to run Spyder are:
- Python 2.7 or >=3.3
- PyQt5 >=5.5
- Qtconsole >=4.2.0 – for an enhanced Python interpreter.
- Rope >=0.9.4 and Jedi >=0.9.0 – for code completion, go-to-definition and calltips in the Editor.
- Pyflakes – for real-time code analysis.
- Sphinx – for the Help pane rich text mode and to get the documentation.
- Pygments >=2.0 – for syntax highlighting and code completion in the Editor of all file types it supports.
- Pylint – for static code analysis.
- Pycodestyle – for style analysis.
- Psutil – for memory/CPU usage in the status bar.
- Nbconvert – to manipulate Jupyter notebooks on the Editor.
- Qtawesome >=0.4.1 – for an icon theme based on FontAwesome.
- Pickleshare – To show import completions in the Editor and Consoles.
- PyZMQ – To run introspection services in the Editor asynchronously.
- QtPy >=1.2.0 – To run the app with different Qt bindings seamlessly.
- Chardet >=2.0.0– Character encoding auto-detection in the Editor.
- Numpydoc is Used by Jedi to get return types for functions with Numpydoc docstrings.
- Cloudpickle Serialize variables in the IPython kernel to send them to the app.
- Specialized for scientific computing and data analysis.
- Feature-rich, including an interactive console and variable explorer.
- Extensible with plugins.
- Integration with Conda environments.
- Free and open source.
- May have a steeper learning curve for beginners.
- Focused primarily on scientific computing, which might not suit all Python development needs.
In conclusion, Spyder Python IDE is a robust and feature-packed development environment tailored for scientific computing and data analysis using Python. Its integrated console, variable explorer, and debugging tools make it a valuable choice for researchers, scientists, and data professionals.
While it may not be the ideal choice for all Python development scenarios, Spyder's specialization and extensibility make it a valuable addition to any Python developer's toolkit, especially if you're working extensively with data and scientific libraries. Plus, its open-source nature and zero cost make it accessible to all. Whether you're a seasoned Python developer or just starting, Spyder is worth considering for your next Python project.
Also Available: Download Spyder Python for Mac
What's new in this version:
New features:
- Allow to reconnect to remote kernels after the connection is lost
- Add ability to explore objects that depend on custom library code to the Variable Explorer
Important fixes:
- Fix memory leak on Linux when getting user's environment variables
- Fix several issues with the auto-update process of the standalone installers
- Fix segfault on closing with PyQt6
- Fix errors when creating new remote connections if credentials are wrong
- Finish fixing and improving docstrings for modules under spyder.api
API changes:
- Add sig_update_performed signal to Update manager plugin
- All public and most private APIs in spyder.api now have comprehensive docstrings and type hints with descriptions, parameters, returns and raises, and are thoroughly rewritten for correctness, clarity and proper formatting. They are also now fully built and richly rendered on the new Spyder developer docs site.
spyder.api.plugin_registration modules:
- The mixins module, containing the mixin used internally for handling the @on_plugin_available and @on_plugin_teardown decorators in the SpyderPluginV2 class, is now documented as pending deprecation as a public module, will become an alias of a private _mixins module and issue a DeprecationWarning in Spyder 6.2, and have the public alias be removed in Spyder 7.0. It is a private implementation detail that wasn't designed or intended to be used directly by external code; plugins access its functionality through the SpyderPluginV2 class instead.
- The registry module's vestigial SpyderPluginRegistry.old_plugins attribute, originally added in Spyder 5 to list legacy Spyder 4 plugins, has been removed. It was mistakenly left over when Spyder 6 fully dropped support for Spyder 4 plugins, which never actually functioned as intended and should be updated to support modern Spyder 5+ plugins instead.
- In the registry module's SpyderPluginRegistry class, setters for the all_internal_plugins (set_all_internal_plugins()), all_external_plugins (set_all_external_plugins()) and main (set_main()) instance attributes are now documented as pending deprecation, will raise a DeprecationWarning in Spyder 6.2, and will be removed in Spyder 7.0. Set the attributes directly instead.
- In the registry.SpyderPluginRegistry class' register_plugin() method, passing arbitrary *args and **kwargs is now documented as pending deprecation, will raise a DeprecationWarning in Spyder 6.2 and will be removed in Spyder 7.0. This was only needed for backward compatibility before the Editor plugin was migrated in Spyder 6 to the new plugin API introduced in Spyder 5.
spyder.api.plugins modules:
- Importing from the enum and new_api modules is now documented as pending deprecation. In Spyder 6.2, they will be renamed to the private _enum and _api modules, respectively, with the original names becoming aliases raising a DeprecationWarning on import, that will be removed in Spyder 7.0. They should be imported from their canonical location, the top-level spyder.api.plugins module, instead.
- The SpyderPluginV2's main instance attribute is now a property, to reduce duplication with the identically-valued _main attribute.
- SpyderPluginV2's _added_toolbars and _actions private attributes have been removed, as they are not used at least in Spyder 6 and above.
- Obsolete checks/warnings for SpyderPluginV2's removed register() and unregister() methods have been removed, as they have been unsupported since Spyder 5.1/5.2 and any code still using them is already broken. The respective on_initialize() and on_close() methods should be used instead.
spyder.api.widgets modules:
- In the mixins module's SpyderActionMixin.update_actions() method, remove the spurious leftover options parameter that does nothing, and is inconsistent and incompatible with all its actual current usage. As this is an abstract method and none of its implementations include it, any plugin code that does will already raise an error at runtime.
- In the menus and toolbars modules, the SpyderMenuProxyStyle and ToolbarStyle proxy style classes are now documented as pending deprecation. In Spyder 6.2, they will be renamed to the private _SpyderMenuProxyStyle and _ToolbarStyle classes, respectively, with the original names becoming aliases raising a DeprecationWarning on use, that will be removed in Spyder 7.0. They were never intended to be used directly by plugins.
- In the toolbars module, ToolbarStyle.pixelMetric() now correctly raises a SpyderAPIError (instead of silently not working as intended save for a spurious print() call) if the TYPE class attribute is not set to one of the two valid values, "Application" or "MainWindow". Additionally, using SpyderToolbar directly rather than its ApplicationToolbar and MainWidgetToolbar subclasses is now documented as formally discouraged so their respective styling will be applied.
- In the toolbars module, the ToolTipFilter class is now correctly underscored as private, as it is only for internal use handling Qt events by a private attribute of the SpyderToolbar class.
Fixed:
- NotImplementedError when trying to display Pandas DataFrame in Variable Explorer
- KeyError in lsp_mixin when using quick-lint-js Javascript LSP
- TypeError when closing project while it is loading
- Variable explorer raises error on a np.datetime64 object
- Scripts on remote server cannot be opened through Files pane
- Find in files displaying "string not found" while search is still running
- Update Spyder with pop up useless if one has a specific environment
- Numpad-Enter does not trigger search inside search box
- Error when updating Spyder in Anaconda as if it were standalone installer
- PermissionDenied error when remote connection credentials are wrong
- Updating Spyder obliterates conda environment
- Small refactor in Client.init to support custom ShellWidget
- Last run file becomes active when running last file rather than keeping active file current
- Spyder segfaults when closing with PyQt6
- TypeError in Update manager worker
- Annotation markers shown incorrectly and disabling option hides editor side pane
- Spyder consumes all RAM at startup on Linux, leading to whole system crash
- Two Spyder icons on Windows taskbar (regression?)
- Deselecting "Stop debugging on first line of files without breakpoints" ignores breakpoints in other files
- Opening a PyVista object can cause the error report dialog to be shown
- Retrieving the value of a variable in the Variable Explorer depends on how a module is imported
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