To make PyCharm run fast: Close apps in Task Manager or Activity Monitor to free up memory. Disable apps that open automatically when you start your computer. Clear out recycle bin.
(If you are a Linux person you have a plenty of choices.) Disable unused plugins in PyCharm. Modern browsers are memory hungry. Limit number of tabs and plugins (even Adblock consumes around 70MB RAM) if you open docs on brower while you code.
Yes, you can smoothly use Android Studio with 4 GB RAM.
From the main menu, select Help | Change Memory Settings. Set the necessary amount of memory that you want to allocate and click Save and Restart.
1. Change the inspection level
Current PyCharm versions allows you to change the type of static code analysis it performs, and also features a Power/CPU Saving feature (Click on the icon at the bottom right, next to the lock):
2. Change indexed directories
Exclude directories from being indexed which are set in the project paths but not actually required to be searched and indexed. Press ALT+CTRL+S
and search for project
.
3. Do memory sweeps
There is another interesting feature:
Go into the settings (File/Settings) and search for memory. In IDE Settings>Appearance
-> tick Show memory indicator
. A memory bar will be shown at the bottom right corner (see the picture below). Click this bar to run a garbage collection / memory sweep.
Every performance problem with PyCharm is unique, a solution that helps to one person will not work for another. The only proper way to fix your specific performance problem is by capturing the CPU profiler snapshot as described in this document and sending it to PyCharm support team, either by submitting a ticket or directly into the issue tracker.
After the CPU snapshot is analyzed, PyCharm team will work on a fix and release a new version which will (hopefully) not be affected by this specific performance problem. The team may also suggest you some configuration change or workaround to remedy the problem based on the analysis of the provided data.
All the other "solutions" (like enabling Power Save mode and changing the highlighting level) will just hide the real problems that should be fixed.
Well Lorenz Lo Sauer already have a good question for this. but if you want to resolve this problem through the Pycharm Tuning (without turning off Pycharm code inspection). you can tuning the heap size as you need. since I prefer to use increasing Heap Size solution for slow running Pycharm Application.
You can tune up Heap Size by editing pycharm.exe.vmoptions file. and pycharm64.exe.vmoptions for 64bit application. and then edit -Xmx and -Xms value on it.
So I allocate 2048m for xmx and xms value (which is 2GB) for my Pycharm Heap Size. Here it is My Configuration. I have 8GB memory so I had set it up with this setting:
-server
-Xms2048m
-Xmx2048m
-XX:MaxPermSize=2048m
-XX:ReservedCodeCacheSize=2048m
save the setting, and restart IDE. And I enable "Show memory indicator" in settings->Appearance & Behavior->Appearance. to see it in action :
and Pycharm is quick and running fine now.
Reference : https://www.jetbrains.com/help/pycharm/2017.1/tuning-pycharm.html#d176794e266
In my case, the problem was a folder in the project directory containing 300k+ files totaling 11Gb. This was just a temporary folder with images results of some computation. After moving this folder out of the project structure, the slowness disappeared. I hope this can help someone, please check your project structure to see if there is anything that is not necessary.
It is super easy by changing the heap size as it was mentioned. Just easily by going to Pycharm HELP -> Edit custom VM option ... and change it to:
-Xms2048m
-Xmx2048m
Regarding the freezing issue, we found this occurred when processing CSV files with at least one extremely long line.
To reproduce:
[print(x) for x in (['A' * 54790] + (['a' * 1421] * 10))]
However, it appears to have been fixed in PyCharm 4.5.4, so if you experience this, try updating your PyCharm.
I found a solution to this problem that works beautifully on Windows, and wanted to share it.
Solutions that didn't work: I have 16GB of RAM and was still having horrible lag. PyCharm takes less than 1GB of RAM for me, so that wasn't the issue. Turning off inspections didn't help at all, and I didn't have any special plugins that I recall. I also tried playing around with CPU affinities for the process, which briefly worked but not really.
What worked beautifully, almost perfectly:
You can do this manually, but I recommend using a program which will preserve the setting across restarts and for multiple instances. I used Process Hacker: Right click on the process -> Priority -> Set the priority. Then right click again -> Process -> and select "Save for pycharm64.exe" and similarly for python "Save for python.exe." Finally in Process Hacker go to Options and select "Start when I log on." This will make it so that ALL Pycharm and python executables acquire these CPU priorities, even after restarting the program and/or Windows, and no matter how many python instances you launch.
Basically, much of the PyCharm's lag may be due to conflict with other programs. Think about it: Yes PyCharm requires a lot of CPU, but the PyCharm developers aren't stupid. They have probably at least ensured it can run without lag on an empty core. But now you open Chrome and 30 tabs, Fiddler, an FTP program, iTunes, Word, Slack, etc, and they all compete with PyCharm at the same CPU priority level. Whenever the sum of all programs > 100% on a core, you see lag. Switching to Above Normal priority gives PyCharm something closer to the empty core that it was probably tested on.
As for Below Normal on python.exe, basically you don't want to slow your computer down with your own development. Most python programs are essentially "batch" programs, and you probably won't notice the extra time it takes to run. I don't recommend this if you are developing a graphical interactive program.
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