Download PyCharm 2026.1.2

This update focuses on stabilizing the debugpy engine, refining the Jupyter Notebook experience, and improving accuracy for Python type checking and code insight.
Code Insight and Editing
- Type checking refinements: Improved accuracy by resolving a false negative when using None as a default value for non-optional parameters (PY-88610) and addressing false positives for UUID types (PY-89479).
- Decorator support: Enhanced parameter inference for functions wrapped in decorators (PY-79204) and ensured class decorated functions resolve to the instance of the class (PY-51321).
- F-string selection: Select an entire string by double-clicking the f-string quote character (PY-88398).
- Enhanced syntax highlighting: Added specialized syntax highlighting designed for f-string format specifiers (PY-88215).
- Advanced type system precision: Added comprehensive type checker support for managing bounds and variance inside type variable tuples and parameter specifications (PY-88277).
- Smarter inlay hints: Read and evaluate numerical structures smoothly with a newly added inlay hint for automatic number promotions (PY-88319).
Jupyter and Data Science
- Output customization: Change the color of error messages in Jupyter output to better suit your theme (PY-73455).
- Remote development stability: Resolved issues where ipywidgets and interactive matplotlib plots were not rendered correctly during remote sessions (PY-87083, PY-78563).
- Graph rendering: Fixed a regression that prevented Bokeh-generated graphs from displaying within notebooks (PY-87867).
- Table accuracy: Corrected the missing values count in the Pandas DataFrame preview (PY-78601).
Debugger
- Dataframe visualization: Restored the View as DataFrame option for evaluated dataframes when using the debugpy engine (PY-88817).
- Variable inspection: Fixed a major issue where Python type renderers were not functioning in the Variables view (PY-75762).
- Network reliability: Resolved connection failures for custom CA signed TLS certificates when using the debugger (PY-89519).
Environment and Frameworks
- Remote execution: Fixed issues where uv run failed to work for remote targets (PY-89538).
- Legacy support: Resolved an ImportError related to machinery affecting behave support in Python 2.7 (PY-89460).
- Project management: Automatically exclude venv folders from indexing to improve performance (PY-71286).
- Plugin integration: Fixed a BootstrapMethodError in the Databricks plugin that occurred after the 2026.1 update (PY-89029).

Full release notes.