DataScienceEcosystem.py

#!/usr/bin/env python
# coding: utf-8

# # Data Science Tools and Ecosystem

# ## In this notebook, Data Science Tools and Ecosystem are summarized.

# ### Some of the popular languages that Data Scientists use are:
#     1. Python
#     2. R
#     3. JavaScript

# **Objectives:**
# - List popular languages for Data Science
# - Using Rstudio
# - Using Github for control version
# - Jupyter notebook usage

# ### Some of the commonly used libraries used by Data Scientists include:
#     1. Pandas
#     2. Numpy
#     3. ggplot
#     4. dplyr

# | Data Science Tools |
# | -------- |
# | KNIME | 
# | Hadoop |
# | Spark | 
# | Pandas | 
# | Ggplot2 | 
# 

# ### Below are a few examples of evaluating arithmetic expressions in Python

# In[1]:


#This a simple arithmetic expression to mutiply then add integers
(3 * 4) + 5


# In[2]:


# This will convert 200 minutes to hours by diving by 60
200 / 60


# ## Author 
# Chun-Wa Law

# In[ ]: