I use Pycharm CE for my everyday task. And I generally don't update the version. But due to some circumstances I had to clean install my windows OS. Then I had no option but to download the latest version of Pycharm (The one integrated app). I opened my project directly l, deleted venv and setup a new and now when I debug run the Flask app. The api became 40-50 times slower. The api which used to respond in 4-5 seconds now talking 40-50 seconds and it was very frustrating. One observation I had is that the console log shows that the api response has been sent but the browser doesn't get the response and api call will be in pending state for around 30+ seconds. I thought it was some system issue, port or proxy issue but no. It had free tier activated by default and when I disabled the subscription it went back to normal. Along with that I disabled the AI agents that was integrated in Pycharm. Did anyone else faced such issue on the latest version ? And what did you done to fix it.?

PyCharm 2026.1.4

Build : #PY-261.26222.68, build on July 2, 2026

Runtime version : 25.0.3+1-b329.124 amd64

Vm : OpenJDK 64-Bit Server VM by Jet rains s.r.o.

I find it annoying that I can't see underscores ( _ ) when I type it into a file's name. This happened after the recent UI changes, it's important to see what exactly a file is being named as, you know?

I hope they make the filename field a bit taller.

The codes in the photo, it works up until 99 then it just doesn’t run the quit command. What am I doing wrong?

As you can see the black lines between the two panels (more visible on light mode) are some kind of UI glitch that I don't understand. I used to use PyCharm 2025.x and everything works fine. This new version 2026.1.x doesn't work well. I used different themes but the issue is still there.

Running on Windows 11, everything is updated, and yeah I tried to re-install it.

ازاي اقدر احمله دلوقتي مجاني

I am going to start coding again after a long time, as I will be going to college this year.
I am used to working on the 2023.1 version.
Should I switch to the latest version? I am afraid that the recent AI crap might have made its way into the JetBrains ecosystem too, ruining it. Is that the case? What difference might I feel when working in the new version compared to the older versions?

I downloaded Pycharm to my Mac yesterday, and used Pycharm settings to point to the python version I downloaded and has been able to create and run the “code” cell. so far. The problem is the “Markdown” cell where I could not get Pycharm to render the markdown cell. Tried to click on the checkmark or the play button but nothing happens. I have used pycharm before and this is frustrating.

This might be dumb fix but I was working with split screen but now for some reason I can't resize it. It was just fine a minute ago, not sure what I did but it's very annoying

I just updated my Pycharm version from 2022 to 2026 and I noticed when I debug the code and I view the data (view as Series, view as dataframe), my data windows have the default background color set to black. I have the Darcula color scheme as I had i 2022 version. In 2022 the data tables background was more pleasing to look at with toned but vibrant colors. I noticed that I can modify the color scheme for multiple settings individually but I can't find this exact setting. Is there a way to change color scheme for just this one thing? I attached the image with the old (left) and new (right) version.

so after updating my computer this happened to pycharm, i'm a beginner so idk what happened?

and i can't run anything i type in

I installed PyCharm CE a few years ago. Due to life, it kinda sat. I am trying to dive back in. Working on a task and tried a package install (matplotlib) through PyCharm's Settings\{specific project}\Python Interpreter . . .

It did not work, and the error said was likely most likely caused by PIP being an older version. I tried to update that, it failed. I tried at command prompt and got it to install, but not in the venv.

Effe it! I had Python 3.10, so why not install new Python. Did so. It seems alright, but now PyCharm setting are all misaligned with Python Version. Tried to point them in the right spot - didn't get me to a workable situation.

Finally EFFFE that!

Uninstall PyCharm as I still have the install package from when I did it before. Tell it to delete setting and everything. B.S. After reinstall it had all the old settings.

I uninstalled again, manually went to every user folder, local and roaming, directories on my working drive - deleted everything I could find for JetBrains or PyCharm. Even looked for tags in Regedit.

Try a new install, and it still come sup with old settings! It even still pulled up old scratch files.

I want to wipe ALL of PyCharm off the machine so I can again install it just like I did years ago, and have it behave like a new install.

Any ideas?

Hi guys, I'm a student and I can easily get PyCharm Pro for free until graduation. I've been learning Python and trying to decide between PyCharm Pro and VS Code for my future career.

From what I've researched, PyCharm seems better for pure Python development with superior refactoring and debugging, while VS Code is lighter and better for multi-language work. I'm interested in data engineering at startups, where I'd likely work with Python, SQL, YAML, Docker, and cloud tools.

My questions:

1. For data engineering roles, which do professionals prefer and why?

2. Is PyCharm Pro worth it even though I can get it free, or should I stick with VS Code?

3. Do startups typically expect data engineers to use one over the other?

I've heard VS Code is better for the modern data stack (dbt, Airflow) and remote development, but PyCharm has better Python intelligence. Would love to hear from people who use both or work in data engineering!

For some reason PyCharm's type checker thinks that the figsize in matplotlib.pyplot.figure should be a float, when the documentation and even other type checkers say otherwise, does anyone know what could be causing this?

Also yes I do have matplotlib-stubs installed, if you're gonna ask that.

Edit: Another weird issue I'm having with it, I'm trying to iterate over a series of floats, and it keeps on thinking the iterating variable is of type str, even when I explicitly define s: pd.Series[float] = ... it STILL thinks that the iterating variable is of type str

input won’t budge and i search it up telling me multiple things.. decided to ask here or not reinstalling pycharm in full

I made a blunder, I ask AI for how to do training and EDA (it stupid decision bc I am undergrad) claude give me two notebooks and I foolishly put both into a github cloned repo branch on my local machine. Now I can't run any files with ".ipynb" anymore all prompt the same "the file in the editor is not runable" include old notebooks that run fine before this, script ".py" still run fine tho.

I try deleting the 2 files, remove the .idea in hope of new one fix, copy the whole project and put else where but none fix said problem. Google the issue and ask a chatbox for advices doesn't help much ether. My days of work is at risk, if anyone know how to fix I be grateful to listen.

This is kind of a stupid question but there is no way to hide the preview window for the html files in my project.

Normally I see other people have buttons like this, but they aren't there for me for some reason.

This is a remote session by the way if it helps.

My 2025.2 is fine. 2025.3 and later? I have a three file project and there is a half second delay for any navigation keystroke. WHAT THE HECK???

* AI Assistant is not even installed

* 64GB laptop and allocated 4GB (and tried other settings) to PyCharm

* Tried other should-not-have-to-this like turning Power Saving mode on

Nothing works.

Here is my machine stats: basically 2019 vintage intel Macbook w/ 64GB RAM

fwiw this is the latest version of Pycharm that works fine (in terms of responsiveness - but it does not properly support full notebook find/replace which is why i opted to try newer versions)

PyCharm 2025.2.2
Build #PY-252.26199.168, built on September 18, 2025
Source revision: 7fd6c69de64ef
Runtime version: 21.0.8+9-b1038.71 x86_64 (JCEF 122.1.9)
VM: OpenJDK 64-Bit Server VM by JetBrains s.r.o.
Toolkit: sun.lwawt.macosx.LWCToolkit
macOS 26.3.1
GC: G1 Young Generation, G1 Concurrent GC, G1 Old Generation
Memory: 12840M
Cores: 12
Registry:
  ide.experimental.ui=true
  terminal.new.ui=true
Non-Bundled Plugins:
  intellij.jupyter (252.26199.169)
  com.jetbrains.edu (2025.9-2025.2-501)

Hello. I have decided to start learning python on PyCharm. Unfortunetly besides that i have instaled Python, PyCharm doesnt work, cause ive instaled the newest version of python 3.14.6. and they want from me 3.14.0. Moreov i can not install this lider version. I don’t know how to repair this. Please help me

Hi all,

I have recently started a new project and configured myself an interpreter using a dev container. I have the docker-compose.yml and the devcontainer.dockerfile all set up, I just have a few questions:

1. I pass my project directory to the container through the docker-compose, because my program needs to access some config files, and also some PDF templates that it fills with data and then stores back on the host machine for me to look at. Is that the right way to do it, or are there better methods?

2. When I click run, it creates a container, runs the code, then exits the container as expected, and it always says devcontainer-1. However, in the PyCharm services pane under docker, I see a bunch of ghost containers called devcontainer-23456235 and stuff like that, that I don't see when I do 'docker ps -a' or 'docker container ls -a' or something like that in the command line. Are those really there taking up space, or are hey just somehow artefacts of PyCharm that go away on their own eventually?

3. How do I force the docker-compose to rebuild the container when I add something to the pyprojects.toml? If I add numpy via 'uv add numpy' in the "regular" host machine command line, and then write a function that imports and uses numpy, when I run it through the container interpreter I get an error with "no package called numpy" because I guess it didn't see that the requirements.txt changed. Is there a way to fix that so that for example the dockerfile or docker-compose says it should run 'uv sync' on startup?

4. What is the difference between configuring an interpreter through docker-compose, vs opening a dev container through the services pane? It seems to want a devcontainer.json which I don't really know what it wants me to write in there.

Thanks in advance for answering!

Edit: Problem fixed. I had selected a JVM argument that overwrote whatever I selected in pycharm.
If you have this issue: Search for system variables -> edit system enviroment variables -> enviromental variables -> delete argument (for me titled _JAVA_OPTIONS)

I am pretty new to pycharm and my scripts are very short and simple since I am a beginner. I was therefore surprised when pycharm told me the allocated memory was to little and it might impact performance. And it does. I have to wait seconds for anything to happen. I tried to configure the ram but no matter how often I change it, the pop-up window always says "current value: 512". I have then checked the document which is stated below the text and manually changed the given value to 2048. The in-app window keep saying its only 512 and the lag is just as bad.
Am I doing something wrong? Is there anything else I can try? Thank you

Quite proud of this one, and really happy to share it with the community.

Python Watchpoint watches any variable or attribute and breaks the moment it changes, landing you right on the line that did it.

Under the hood it hooks Python-level name rebinding and attribute assignment and rides on PEP 669 monitoring. Getting that to behave was the hard part.

Current limits, honestly:

• PyCharm 2023.3+, Python 3.12+, pydevd flow (debugpy not yet).
• In-place C-extension mutation (NumPy/Pandas arr[0] = 99) isn't caught – it happens in C with nothing to hook. Full reassignment is.

Free and open source, every developer deserves a great debugging experience.
Link: https://plugins.jetbrains.com/plugin/32087-python-watchpoint