The new “ Attach to process” feature introduced with the previous build is now available under the Mac OS platform! The full list of IPython notebook improvements can be found in our issue tracker. See the list of IPython notebook shortcuts here and try them in P圜harm. When working with IPython notebook files, P圜harm now provides well-known shortcuts: for example you can press Shift+Enter to run a cell or Ctrl+Shift+Down to move a cell down. Now P圜harm starts the IPython notebook automatically when running a ipynb file or separate cells in it. We’ve fixed issues with cell rendering and some bugs related to wrong P圜harm behavior inside ipynb cells. P圜harm now works better with cells of different types. This build also brings a lot of improvements to the recently announced IPython Notebook integration: To follow the scientific mood of this P圜harm 4 EAP build, we also added the support for matplotlib in the integrated python console. Right-click it and select “View as Array”. To view a NumPy array, run your project in a debug mode and find the NumPy array in the variables list shown in the P圜harm`s graphical debugger. The most notable brand-new feature in this build is the NumPy array viewer which is available from the debugger and the integrated Python console: For the detailed list of notable changes and improvements, please check the Release Notes. Just as always, this EAP build can be used for 30 days after its release date and it doesn’t require any license.Ĭomparing to the previous EAP builds, this one mostly includes a consolidation of fixes for various bugs and problems, and improvements for recently added features. Today we’re glad to let you know that the third P圜harm 4 EAP build 139.354 is ready for your evaluation.
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