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12 changes: 10 additions & 2 deletions README.md
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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].

Expand Down Expand Up @@ -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**

Expand Down Expand Up @@ -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
[Udemy course]:https://www.udemy.com/learning-python-for-data-analysis-and-visualization/?ccManual=&couponCode=DEAL19