PyCharm Pros and Cons

The interfae of UI is good. Setup/ installation can be done easily. The connection with gthub and other cloud platforms was good to work easily. Review collected by and hosted on G2.com.

The price of the professional and Expertice version is high and If we are student then it is free to use that will be a plus point. Review collected by and hosted on G2.com.

The GUI is very charming, very colorful, makes the development work enjoyable. It has every possible feature that a Python developer will ever need during his end-to-end development process. Loved the feature of executing multiple runs in different consoles also saving all the output. Ease of viewing all the variables and plots and data frames. easy git integration makes pushing code to git repository a one-click job. Ease of implementing and merging all commit changes as in the commit tab I can easily see all the recent changes. Supports multiple frameworks and development styles. The debug tab is very useful. Also has support for jupyter notebook. The pros of Pycharm professional edition just don't end. It will take pages to write about all the charm of Pycharm. I love using Pycharm every day. Review collected by and hosted on G2.com.

Only one con. But it's a major one. In Pycharm we can't disable autosaves. This makes things a little difficult at times. Specially in situations like using a Flask server in debug mode where it auto reloads the server based on file changes. Now in the case of Pycharm since it auto saves automatically. The server breaks because in between typing the code there may be syntax errors and many such issues which fails the server. Ideally, the Flask server should only reload after some changes are done and the developer saves the final file. But unfortunately in Pycharm autosave can't be disabled. Thus making the Flask experience very bad. I firmly believe Pycharm definitely needs an easy option to quickly turn on or off autosave. Review collected by and hosted on G2.com.

As I am a Python and AI developer my first choice is Pycharm

I have recently working on gym AI reinforcement learning projects and I love to tell you how Pycharm helps me

whenever I import any library and forget to install it pycharm highlights gives a notification and provides an option to install it immediately.

For new projects you can install specific libraries and specific library versions that are good

pycharm debugger feature allows setting breakpoints and inspecting variables,

identifying bugs and fixing it so it features rich IDE.

pycharm code inspections tool provides feature to reduce errors

pycharm provided version control integration with git and others to track our version or changes

for AI and data science it has lots of features like plugins you can integrate with chatGpt and run it completely Review collected by and hosted on G2.com.

From my experience, I did not find any drow back escape one

PyCharm computation is slow for large projects and that irritated me Review collected by and hosted on G2.com.

Pycharm is a powerful IDE for Python developers, it has extensive support for web development and also has seamless integration with various other frameworks.

wide range of extension support and out-of-the-box functionality and fantastic features some features are ..

1 . syntax highlighting

2. auto code completion suggestion

3. Graphical Debugger interface ect. Review collected by and hosted on G2.com.

Pyscharm needs heavy system resources for big projects that are taking time to start.

text editors flexibility issue Review collected by and hosted on G2.com.

This has really helped me excel at my career to learn code and do code Review collected by and hosted on G2.com.

It was difficult in the beginning for me to understand easyly Review collected by and hosted on G2.com.

Best IDE for the people who work on Python. We have all plugins available and can install any module required. Easy to use. Can run from terminal through IDE itself. We can add our own interpreter or we can create venv or conda environments to run our project python code. Review collected by and hosted on G2.com.

Never felt that there should be something in Pycharm. Its good overall. Review collected by and hosted on G2.com.

PyCharm has the greatest convenience of use and has the greatest UI. It has the 'Dark Mode', 'Light Mode' , and vrious other modes for the user to interactively interact with the user and the system. Any Python code can find it easy to run on this platform and can be integrated with other softwares as well such as VS Code, Jupyter Notebook, etc., and neverthe less it has various bug fixes updates and features for greater accessibility. Review collected by and hosted on G2.com.

I personally don't feel any disadvantages of it and any flaw in it. Review collected by and hosted on G2.com.

There are several things that I like when working with pycharm :

1. User-friendly user interface.

2. Smooth compiler and does not lag.

3. Easy to debug your code

4.Version control feature to connect with GIT. Review collected by and hosted on G2.com.

They can improve on providing more extensions like VS Code. Review collected by and hosted on G2.com.

PyCharm offers an excellent code completion feature that really speeds up the coding process. It also integrates well with different Python frameworks, which simplifies project setups and improves workflow. Review collected by and hosted on G2.com.

PyCharm is quite heavy on resources, which sometimes makes the system slow, especially on older computers. Review collected by and hosted on G2.com.

I most like its code assistance and completion feature as a data engineer, PyCharm provides an intelligent code completion feature that helps me to write code faster and with fewer errors. This is especially useful for me when I'm working with large codebases or complex data engineering projects.

I also like its integration with version control systems like Git. This is beneficial for me while I'm working in teams, as it facilitates collaboration and ensures that changes to the codebases are tracked and managed effectively.

It also provides integration with data science libraries and frameworks like NumPy, pandas, and TensorFlow. This makes it easy of use for me to work with multiple tools and libraries seamlessly within the IDE.

I mostly use PyCharm for my data-related operations and changes in the projects as an integrated debugger which allows me to step through my code, inspect variables, identify errors, and fix issues more efficiently. It provides ease of implementation changes in the projects.

It support for jupyter Notebooks and this allows me to develop, run and debug Jupyter Notebooks directly in the IDE.

I also like its customization and extensibility, allowing me to tailor the IDE to my preferences and workflow.

Customer suppprt feature was good and conviniant and if i say about my frequency of use, I use it daily on my working day. Review collected by and hosted on G2.com.

One thing that I say I don't like about Pycharm is, Its limited support for other languages like PyCharm is excellent for python development, but sometimes when I have to work with multiple programming languages then I have to face problems.

Also it is not suitable for small and simple data engineering projects because It take some time to start up, which can be a minor inconvenience if I need to quickly edit a file or perform a simple task. Review collected by and hosted on G2.com.