To get started with data science using Python, the recommendation from experts is to get Anaconda. The Python programming language is a powerful tool whose true potential is only harnessed with the right packages and libraries.
An Anaconda installation will give you those in one fell swoop rather than have to add things one by one.
To install Anaconda for individual use, go here.
With over 20 million users worldwide, the open-source Individual Edition (Distribution) is the easiest way to perform Python/R data science and machine learning on a single machine. Developed for solo practitioners, it is the toolkit that equips you to work with thousands of open-source packages and libraries.
I am pretty old school and have used vim a lot for an editor. For older programming languages like FORTRAN, that is kind of what you end up doing and I have had to do that as part of my job. However, with Python, you can expect much more.
Development of code can be done by opening files using any editor you like. But, that can get to be cumbersome and an IDE makes everything easier and more manageable. It will also help to autocomplete code like how your phone can autocomplete when you text.
Get started with data science using Python: Code example using Anaconda and PyCharm
Full blog post:
https://howtophd.org/2021/02/how-to-get-started-with-data-science-using-python-new-to-coding.html
