Sure, it teaches you a lot.īut as you start to work with bigger analytics and data science projects involving lots of interrelated scripts and complex code, you will want to move to a development environment that can handle all the nitty-gritty for you, while you scratch your head over the more important stuff. You have to deal with everything on your own, from writing complete code to debugging the program yourself. If you have just begun coding and are new to Python, then simple and lightweight code editors are a great way to start learning. I’ve personally been through this stage so I can relate to the confusion! You’ll be using this IDE for writing your Python code for the foreseeable future so it’s important that you’re comfortable with the tool.
An IDE, which we’ll talk about in more detail later, helps us write and execute Python code for analytics, data science, software development, and a plethora of other tasks.īut which Python IDE or tool should you choose? There’s no shortage of IDEs out there so picking one when you’re starting out could be a tricky affair. And most of us have our own way of writing Python code, right?Īnd a coding environment, or an IDE as it’s called, plays a huge role in programming circles. We create something from scratch that works and acts as the heart and soul of an analytics or data science project.
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