A Python IDE like P圜harm helps you focus on the development process by simplifying the rest for you as it comes with multiple features, including syntax highlighting, automatic indentation, and debugging tools, etc. There are more aspects to Python other than writing code, such as testing, debugging, the management of environments and packages, version control, and many other boiler-plate-heavy operations that might not be quite explicit.
Having a good development environment is a crucial step in boosting your productivity. In the following sections, we will walk you through this question by unpacking what specific problems P圜harm can solve for you and how you can reap the benefits of using it. So why would you use a heavy and complex IDE to achieve the same result? Due to Python's readability and simplicity of code, you can easily make changes to your code using a simple text editor, and then instruct a Python interpreter to execute your code. As a data scientist relying on Python, you might be wondering about the potential upsides of using an integrated development environment (IDE) like P圜harm.
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