Increase the memory heap of the IDE
The Java Virtual Machine (JVM) running PyCharm allocates some predefined amount of memory. The default value depends on the platform. If you are experiencing slowdowns, you may want to increase the memory heap.
From the main menu, select.
Set the necessary amount of memory that you want to allocate and click Save and Restart.
This action changes the value of the
-Xmx option used by the JVM and restarts PyCharm with the new setting.
PyCharm also warns you if the amount of free heap memory after a garbage collection is less than 5% of the maximum heap size:
Click Configure to increase the amount of memory allocated by the JVM:
Click Save and Restart and wait for PyCharm to restart with the new memory heap setting.
Enable the memory indicator
PyCharm can show you the amount of used memory in the status bar. Use it to judge how much memory to allocate.
Right-click the status bar and select Memory Indicator.
Memory parameters specific to a particular service, for example, Docker can be modified through the corresponding run/debug configurations.