diff --git a/README.md b/README.md index d32294a..c3af2f1 100644 --- a/README.md +++ b/README.md @@ -2,7 +2,7 @@ First of all, don't be afraid, read [Plateau of Productivity]. More importantly, be patient, a good read from Peter Norvig, titled [Teach Yourself Programming in 10 years]. -## Motivation +## Motivation to learn [Language war] between Python and R is one of the most frequently discussed topics among the Data Scientists, and there doesn't seem to be a consensus on which one is better. Personally, I used both R and Python, but for very different purposes. I mainly use tidyverse packages (dplyr + ggplot2) to carry out data analyses and data visualization, while using Python for web scraping, task automations, and building [basic web applications in Flask]. @@ -95,6 +95,14 @@ I am a huge believer in learning by doing, and there are a lot of opportunities * [BIDS: Python Bootcamp: Scipy Pandas] * [Coursera: Introduction to Data Science in Python] * [Chris Albon's notes] + + * **Numpy library** + * NumPy is a python library used for working with arrays. + * It also has functions for working in domain of linear algebra, fourier transform, and matrices. + * NumPy was created in 2005 by Travis Oliphant. It is an open source project and you can use it freely. + * NumPy stands for Numerical Python. + + * **Data Visualization** @@ -248,4 +256,4 @@ Once mastered all the above, the next natural step is to create public work that [Berkeley BIDS Python bootcamp]:https://bids.berkeley.edu/news/python-boot-camp-fall-2016-training-videos-available-online [Josh Bloom's Python Computing For Data Science]:https://github.com/profjsb/python-seminar [Pandas Cookbook]:http://pandas.pydata.org/pandas-docs/stable/cookbook.html -[Udemy course]:https://www.udemy.com/learning-python-for-data-analysis-and-visualization/?ccManual=&couponCode=DEAL19 \ No newline at end of file +[Udemy course]:https://www.udemy.com/learning-python-for-data-analysis-and-visualization/?ccManual=&couponCode=DEAL19