Jetbrains Pycharm Professional 2018.3 Apr 2026

: To prevent slowdowns when debugging large datasets, the debugger can be set to not load NumPy arrays or Pandas DataFrames by default. You can manually load their values from the variables view only when needed.

: Integration for viewing and managing GitHub pull requests directly from the IDE. PyCharm 2018.3 EAP 8 - The JetBrains Blog JetBrains PyCharm Professional 2018.3

As a Professional release, this version also included advanced tooling for web and data tasks: : To prevent slowdowns when debugging large datasets,

: Includes the ability to customize SQL table aliases and use schema diagrams to visualize database structures. improved Angular template assistance

: Full support for TypeScript 3.1 , improved Angular template assistance, and auto-imports for project dependencies in JavaScript.