One of many coolest tasks I work on at IBM is named the Information Scientist Workbench. It’s a free all-in-one resolution for individuals keen on performing information evaluation.
Naturally, we created it for people who find themselves keen on doing Information Science, however the open supply instruments offered can be utilized for any statistical utility (and to a lesser diploma for different mathematical functions as nicely).
The cloud based mostly assortment of instruments could be accessed completely without spending a dime (no catch) instantly out of your browser. You merely join it and after a brief setup interval (often lower than an hour), you’ll obtain a totally configured setting to work in.
Behind the scene you’re working a decently spec’d digital occasion (e.g., 16 GB RAM / 100 GB disk), so efficiency tends to be fairly good and infrequently higher than that of many laptops. And within the case of DSWB, you don’t want to put in something.
The Information Scientist Workbench contains:
- OpenRefine to scrub up messy information.
- Jupyter notebooks supporting Python, R, and Scala (with entry to Apache Spark for Massive Information processing).
- Apache Zeppelin notebooks.
- RStudio in your browser.
I think R (and to a minor extent Python) would be the most related to my viewers right here. Particularly, I like to recommend RStudio to carry out statistical evaluation, and Jupyter/iPython notebooks for individuals who have extra of a programming background or who want so as to add in a machine studying part.
Watch the tour beneath, and think about signing up:
If a library you want is just not included, you possibly can usually set up it your self (e.g., !pip set up