===================== Development version ===================== This document describes in-flight development work. .. warning:: Please do not edit this file by hand (doing so will likely cause merge conflicts for other Pull Requests). Instead, create a new file in the `docs/source/whatsnew/pr` folder Released .... ...., 2019 Need to be updated: .. toctree:: :maxdepth: 2 :glob: pr/* IPython 8.0 is bringing a large number of new features and improvements to both the user of the terminal and of the kernel via Jupyter. The removal of compatibility with older version of Python is also the opportunity to do a couple of performance improvement in particular with respect to startup time. This release contains 250+ Pull requests, in addition to many of the features and backports that have made it to the 7.x branch. We removed almost all features, arguments, functions, and modules that were marked as deprecated between IPython 1.0 and 5.0 and before. As reminder 5.0 was released in 2016, and 1.0 in 2013. Last release of the 5 branch was 5.10.0, in may 2020. The few remaining deprecated features have better deprecation warnings or errors. There are many change in IPython 8.0 will will try to describe subsequently, The first on is the integration of the ``stack_data`` package; which provide smarter information in traceback; in particular it will highlight the AST node where an error occurs which can help to quickly narrow down errors. For example in the following snippet:: def foo(i): x = [[[0]]] return x[0][i][0] def bar(): return foo(0) + foo( 1 ) + foo(2) Calling ``bar()`` would raise an ``IndexError`` on the return line of ``foo``, IPython 8.0 is capable of telling you, where the index error occurs:: return x[0][i][0] ^ Numfocus Small Developer Grant ------------------------------ To prepare for Python 3.10 we have also started working on removing reliance and any dependency that is not Python 3.10 compatible; that include migrating our test suite to pytest, and starting to remove nose. This also mean that the ``iptest`` command is now gone, and all testing is via pytest. This was in bog part thanks the NumFOCUS Small Developer grant, we were able to allocate 4000 to hire `Nikita Kniazev @Kojoley `__ who did a fantastic job at updating our code base, migrating to pytest, pushing our coverage, and fixing a large number of bugs. I highly recommend contacting them if you need help with C++ and Python projects You can find all relevant issues and PRs with the SDG 2021 tag: https://github.com/ipython/ipython/issues?q=label%3A%22Numfocus+SDG+2021%22+ Removing support for Older Python --------------------------------- We are also removing support for Python up to 3.7 allowing internal code to use more efficient ``pathlib``, and make better use of type annotations. IMAGE : Pathlib, pathlib everywhere. The completer has also seen significant updates and make use of newer Jedi API offering faster and more reliable tab completion. For the terminal users this also enable the auto-suggestion feature, described below, which show "ghost text" ahead of your cursor you can accept without having to press the tab key or ask the completer to suggest completions. Autosuggestion is a very useful feature available in `fish `__, `zsh `__, and `prompt-toolkit `__. `Ptpython `__ allows users to enable this feature in `ptpython/config.py `__. This feature allows users to accept autosuggestions with ctrl e, ctrl f, or right arrow as described below. 1. Start ipython .. image:: ../_images/auto_suggest_prompt_no_text.png 2. Run ``print("hello")`` .. image:: ../_images/auto_suggest_print_hello_suggest.png 3. Press p to see the autosuggestion .. image:: ../_images/auto_suggest_print_hello_suggest.png 4. Press ctrl f, or ctrl e, or right arrow to accept the suggestion .. image:: ../_images/auto_suggest_print_hello.png You can also complete word by word: 1. Run ``def say_hello(): print("hello")`` .. image:: ../_images/auto_suggest_second_prompt.png 2. Press d to see the autosuggestion .. image:: ../_images/audo_suggest_d_phantom.png 3. Press alt f to accept the first word of the suggestion .. image:: ../_images/auto_suggest_def_phantom.png Importantly, this feature does not interfere with tab completion: 1. After running ``def say_hello(): print("hello")``, press d .. image:: ../_images/audo_suggest_d_phantom.png 2. Press Tab to start tab completion .. image:: ../_images/auto_suggest_d_completions.png 3A. Press Tab again to select the first option .. image:: ../_images/auto_suggest_def_completions.png 3B. Press alt f to accept to accept the first word of the suggestion .. image:: ../_images/auto_suggest_def_phantom.png 3C. Press ctrl f or ctrl e to accept the entire suggestion .. image:: ../_images/auto_suggest_match_parens.png To install a version of ipython with autosuggestions enabled, run: ``pip install git+https://github.com/mskar/ipython@auto_suggest`` Currently, autosuggestions are only shown in the emacs or vi insert editing modes: - The ctrl e, ctrl f, and alt f shortcuts work by default in emacs mode. - To use these shortcuts in vi insert mode, you will have to create `custom keybindings in your config.py `__. Show pinfo information in ipdb using "?" and "??" ------------------------------------------------- In IPDB, it is now possible to show the information about an object using "?" and "??", in much the same way it can be done when using the IPython prompt:: ipdb> partial? Init signature: partial(self, /, *args, **kwargs) Docstring: partial(func, *args, **keywords) - new function with partial application of the given arguments and keywords. File: ~/.pyenv/versions/3.8.6/lib/python3.8/functools.py Type: type Subclasses: Previously, "pinfo" or "pinfo2" command had to be used for this purpose. Autoreload 3 feature ==================== Example: When an IPython session is ran with the 'autoreload' extension loaded, you will now have the option '3' to select which means the following: 1. replicate all functionality from option 2 2. autoload all new funcs/classes/enums/globals from the module when they're added 3. autoload all newly imported funcs/classes/enums/globals from external modules Try ``%autoreload 3`` in an IPython session after running ``%load_ext autoreload`` For more information please see unit test - extensions/tests/test_autoreload.py : 'test_autoload_newly_added_objects' Miscelanious ------------ Minimum supported ======= .. DO NOT EDIT THIS LINE BEFORE RELEASE. FEATURE INSERTION POINT. As a reminder, IPython master has diverged from the 7.x branch, thus master may have more feature and API changes. Backwards incompatible changes ------------------------------ .. DO NOT EDIT THIS LINE BEFORE RELEASE. INCOMPAT INSERTION POINT.