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. 

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 use PyCharm as my main IDE for Python coding.

The automated package installation is helpful. I like the code highlighting features. A huge library of plugins is available, including AI coding tools, though I don't use those myself. The debugging tools are good, showing errors and problem lines.

I started using PyCharm while learning Python before VS Code existed, so I've stuck with it. I don't integrate it with other tools. I use random online tools to test connections for database work, then do everything else in PyCharm.

Customizing the tool can make it complicated. 

I have been working with the product for more than five years. 

I've never needed to contact technical support as it always works fine.

Setting up PyCharm is easy - just clicking "next" a few times. You can customize it deeply if you want, but that can get complicated.

I use the free community version, so I'm saving money there.

I rate the overall solution a ten out of ten.