PyCharm Reviews

My primary use case is for optimization of algorithms and machine learning, as well as for writing Python codes. We are customers of PyCharm and I'm a data scientist and machine learning engineer. 

The solution provides a good comprehensive debugging feature that I like and which is easy to use. This product is for bigger or more complex projects. I find PyCharm very intuitive.

I'd like to be able to use Notebooks in PyCharm it would be good to have that ability. It's there but not as intuitive as the other features in the solution. They give some functionality to use Python Notebook, but it's not great.

I've been using this solution for two years. 

The performance is good and stable. 

I use PyCharm for its scalability, it's a valuable feature. I am currently the main user, others in the company use Java; they're using mostly SQL and I'm extensively using PyCharm.

In addition to PyCharm, I use some other tools such as Jupyter Notebook or Spyder, but I prefer PyCharm if I'm working on a complex project.

The initial setup is straightforward. 

If you compare PyCharm to Spyder or Jupyter Notebook, PyCharm is better for more complex projects. If I need to write smaller code or for checking purposes, I use Jupyter Notebook. PyCharm is more scalable than Jupyter. 

This is a good solution and I recommend it. I rate PyCharm nine out of 10. 

On-premises

We use the product primarily for data processing.

The product's IDE feature is quite user-friendly.

They should improve the product's interactiveness. There could be a specific feature for it similar to Visual Studio Code.

We have been using PyCharm for five years now.

Stability-wise, there are no issues.

We used VS Code before. In comparison, PyCharm has good IDE features.

The initial setup may take some time to complete if you don't have prior experience working with the product. Otherwise, the process is simple.

I rate PyCharm a nine out of ten.

I have used PyCharm to write quantitative libraries, data manipulation tools, Django back-end applications, and microservices.

The unit testing integration in PyCharm works really well. It includes useful features like cross-referencing, syntax highlighting, and error messages that provide valuable feedback. These features improve my productivity significantly. The debugger is useful, though I prefer fixing my code using tests.

One issue with JetBrains tools, including PyCharm, is their heavy resource usage. They can be slow to start, especially when beginning a new project, as it takes some time to index.

I have been using PyCharm since 2014.

I have never faced any stability issues with PyCharm.

I have never had a reason to contact JetBrains Technical Support as PyCharm has always worked out-of-the-box.

Positive

I switched from Vim to PyCharm. Although I tried Visual Studio Code, PyCharm's consistent experience across different languages made it redundant for me to switch.

I have tried Visual Studio Code.

PyCharm has an excellent user experience, and I appreciate its cross-platform capabilities. The code completion has become more intelligent over the years. I rate PyCharm a nine.

On-premises

Other