So which edition of PyCharm should you choose? You may have figured out by now whether you should purchase the Professional Edition (given that you do not already have it), or simply use the free Community Edition. This will mainly depend on your own Python projects and what functionalities those projects need.

Firstly, it is possible to take advantage of all the functionalities included in the Community edition of PyCharm, whatever your profession is and whatever your project's focus is on. After all, every project can benefit from the intelligent coding assisting features and various other support features in Community PyCharm.

So, whether you are a software engineer, web developer, or data scientist, Community PyCharm will undoubtedly improve your overall productivity anyway, especially if you are working on a significantly large project.

It is important to note that, if you are working on a complex web development project that involves JavaScript, it is highly recommended that you use the Professional edition. Not only does Professional PyCharm have a powerful editing environment for JavaScript and other popular web languages, but it also offers a dedicated debugger for JavaScript, which will undoubtedly prove to be useful in your advanced web project.

Additionally, if your web applications interact with a database in a complicated manner, Professional PyCharm can help you simplify the process with the integration of various features and the visualization of data relationships in databases.

For example, say you'd like to add some data to a project by connecting to an SQLite database; you can do that in a fairly straightforward way in Professional PyCharm, as illustrated in the following screenshot:

By the same token, if you are a data scientist working with a fairly complex stack, specifically, if your projects interact with a database, it might be beneficial to take advantage of the features of the Professional Edition. The integration of IPython and Jupyter Notebook might also be a great addition to your data science workflow, but these are web-based tools that are already well-supported by web browsers such as Google Chrome. Furthermore, if your whole pipeline is designed to revolve around the web-based interface of the software, it might be worth continuing using the bare-bones Jupyter platform without PyCharm's support.

Overall, the development work you do will dictate whether it is worth it for you to purchase the Professional Edition of PyCharm or not. A good strategy is to take advantage of the free 30-day trial of the Professional Edition to see if an upgrade from the Community Edition is worth purchasing.