Python for Data Science - The PyCharm IDE

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This is a quick detour from analytics topics to introduce the PyCharm IDE. PyCharm includes some very useful features like Conda environment integration, version control support, a robust debugger and very useful editor enhancements.

Notes:
What is it?
- An integrated development environment (IDE)

What is an IDE?
- Code editing platform, i.e., a text editor on steroids

Installing:
- Install - OS specific installation instructions in the bottom left section of the download page.

PyCharm help:

Why I recommend it:
- Very nice version control integration
- Managing environments is very easy
- Easy, robust debugging
- Lots of sweet, sweet editor sugar, e.g., tab completion, PEP guidelines, automatic reformatting, block commenting, data display, variable and environment information...
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Комментарии
Автор

Thanks Man, I use R but also want to use python. You have helped a lot.

kushxmen
Автор

Please make for videos. I am transitioning from R Studio to this and I understand your feelings about Pycharm

jennyapl
Автор

how to import csv in pycharm and get starting with it as of data science

indranilmajundar