8 Answers
+ 9
Sure thing, in no way I wanted to speak badly on Rers ;) It's just R is purely for statistics and data management, you can't write a bot or a webcrawler in it.
Of course for data science I would even assume that R is better equipped, at least so far, but Python is keeping up its pace, too.
Basic knowledge of both is recommended. Specialization in one of them - necessary :)
+ 21
You can use Python for data mining, data cleansing, data extraction, data parsing and data transformation. Applying machine learning algorithms, predicators and forecasters and finally visualizing the analyses effectively.
All done by modules like numpy, pandas, matplotlib, seaborn, bokeh (data handling and visualization), openpyxl, beautifulsoup4, xml and json (data scraping and parsing), tensorflow (ML and neural networks).
Python works well with SQL and Mongo, too. Besides, most data scientist tools work with Python or R.
P.S. Of course R is not the "cool" way to go... ;) đ
+ 8
Just one more thing, take a look at www.datacamp.com - they kind of incite the flame of rivalry between the House of Cran and the House of the Snake... ;)
+ 7
Today at packtpub they give away "Python Data Analysis", an extensive compendium of data science-related powers of Python.
Downloading *highly* recommended:
https://www.packtpub.com/packt/offers/free-learning
+ 6
When I think of Python on soloearn it's Kuba I think ofđđ
+ 4
Today at Packtpub - "R for Data Science" - FREE:
https://www.packtpub.com/packt/offers/free-learning
+ 2
I would say, even When R is not the coolest way to do It, But its community is highly oriented and many of them, highly specialized in data science. So I say, you must take an approach on R as mandatory milestone in your way to become a data sciencist
+ 1
Thanks #Kuba , #Carlos .
you guys are great. loved your answers