2 Replies to “Big Data in 30 hours and…. $250”

  1. Hi,
    It is a very nice post for beginners and it is a great starting point if you do not know what to do. Following the steps above will give you some development environment but not the best one.

    I would like to do some suggestions – first of all, the editor: Notepad++ is good but not great for Python. If you want to save yourself some time go for a good IDE. I would recommend either PyDev(http://www.pydev.org/) or PyCharm as Python editor. Both give you Debugging, Refactoring and autocomplete functionality which you don’t get in Notepad. If you feel overwhelmed by features provided by these two – Visual Studio Code is a good alternative.

    If you are just starting your path on data science and you want to play with data – DataIku (https://www.dataiku.com/) could be a great alternative and starting point for data analysis. You can graphically design data pipelines and you can also apply ML on top of it with visual guidance. It comes with Jupiter so you can also code in Python or R if you want to do something more advanced.

    1. Thank you. Your comment is much appreciated and I’m sure the readers will benefit. Certainly, PyCharm gets much traction these days. Tools with growing community around it are always a good option, for the abundance of expertise, third party integrations and online community support. Thank you for sharing this and looking for more if anyone else is willing to add something in.

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