Python(x,y) 8.29.0 freeware

IPython, developed by the IPython development team, is an advanced interactive computing environment that enhances the Python programming experience. It offers a rich toolkit for data analysis, scientific computing, and machine learning, featuring an intuitive interface, powerful shell, and support for interactive data visualization. With its seamless integration of code execution, documentation, and rich media, IPython empowers users to explore and prototype ideas efficiently, making it an esse ... ...

Author IPython development team
Released 2024-10-25
Filesize 799 kB
Downloads 660
OS Windows All
Installation Instal And Uninstall
Keywords Application Development, Python Development, Develop Application, Development, Python, Developer, Develop
Users' rating
(10 rating)
Python(x,y)OtherWindows All
Python(x,y) - notebooks Freeware Download Notice

Python(x,y) Free Download - we do not host any Python(x,y) torrent files or links of Python(x,y) on rapidshare.com, depositfiles.com, megaupload.com etc. All Python(x,y) download links are direct Python(x,y) download from publisher site or their selected mirrors.

Python(x,y) freeware - The Latest User Reviews
Python(x,y) freeware - The Latest Versions History
8.29.0 Oct 25, 2024 New Release Misc Python 3.13 compatibility PR #14536, PR #14559
Add a uv line magic PR #14537
Add support for WEBP to IPython.display.Image. PR #14526
And many more bugfixes and quality of life improvements.
8.28.0 Oct 2, 2024 New Release AssertionError: assert _xterm_term_title_saved in WSL – It is unclear why the terminal title is not saved in WSL, if you’ve WSL experience we’d love your feedback and help to not just ignore an error
Fix use of pyside6 >= 6.7.0
Make values public (_tb_highlight & _tb_highlight_style)
Use environment variable to identify conda / mamba
6.0.0 Sep 24, 2024 New Release New features:
New installers for Windows, Linux and macOS based on Conda and Conda-forge. They come up with a more robust update process and are based on Python 3.11.
Add a Debugger pane to explore the stack frame of the current debugging session.
Add a button to the Debugger pane to pause the current code execution and enter the debugger afterwards.
Add submenu to the Consoles menu to start a new console for a specific Conda or Pyenv environment.
Add ability to refresh the open Variable Explorer viewers to reflect the current variable value.
Add initial support to automatically connect to remote servers through SSH and run code in them. This functionality can be found in the menu Consoles > New console in remote server.
Show plots generated in the Variable Explorer or its viewers in the Plots pane.
Show Matplotlib backend and Python environment information in the status bar.
Make kernel restarts be much faster for the current interpreter.
Add experimental support for Qt 6 and increase minimal required version to Qt 5.15.
Turn runfile, debugfile, runcell and related commands into IPython magics.
Important fixes:
Environment variables declared in ~/.bashrc or ~/.zhrc are detected and passed to the IPython console.
Support all real number dtypes in the dataframe viewer.
Respect Matplotlib user settings configured outside Spyder.
Increase DPI of Matplotlib plots so they look better in high resolution screens.
Allow to copy the absolute and relative paths of the current file to the tabs' context menu of the Editor.
Restore ability to load Hdf5 and Dicom files through the Variable Explorer (this was working in Spyder 4 and before).
Add ability to disable external plugins in Preferences > Plugins.
Use a simpler filesystem watcher in Projects to improve performance.
UX/UI improvements:
Make Spyder accept Chinese, Korean or Japanese input on Linux by adding fcitx-qt5 as a new dependency (in conda environments only).
The file switcher can browse and open files present

Most popular Other freeware downloads

Python(x,y)

8.29.0 freeware download

... of IPython is its seamless integration with Jupyter Notebooks. This combination allows users to create and share ... and narrative text. The interactive nature of Jupyter Notebooks, powered by IPython, facilitates exploratory data analysis and ...