Tämä on vanhempi versio. Uusin versio on 2026.2.3. PyCharm 2026.2.3 · Julkaistu:
Asennustiedostot 2026.1.2
| Arkkitehtuuri | Tyyppi | Laajuus | Tiedostokoko | Lataus | SHA256 |
|---|---|---|---|---|---|
| 64-bittinen | EXE (NSIS) | Nykyinen käyttäjä | — | download.jetbrains.com | VirusTotal |
| 64-bittinen | EXE (NSIS) | Kaikki käyttäjät | — | download.jetbrains.com | VirusTotal |
| ARM64 | EXE (NSIS) | Nykyinen käyttäjä | — | download.jetbrains.com | VirusTotal |
| ARM64 | EXE (NSIS) | Kaikki käyttäjät | — | download.jetbrains.com | VirusTotal |
Linkki ja SHA256-tiiviste ovat peräisin Windows Package Managerin yhteisön manifestista. Vertaa ladatun tiedoston tiivistettä ennen kuin suoritat sen.
Muutosloki
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.
