This book is about Jupyter and data science. We have the introduction to Jupyter. Now, we can look at data science practices and then see how the two concepts work together.
Data science is used in many industries. It is interesting to note the predominant technologies involved and algorithms used by industry. We can see the same technologies available within Jupyter.
Some of the industries that are larger users of data science include:
|
Industry |
Larger data science use |
Technology/algorithms |
|
Finance |
Hedge funds |
Python |
|
Gambling |
Establish odds |
R |
|
Insurance |
Measure and price risk |
Domino (R) |
|
Retail banking |
Risk, customer analytics, product analytics |
R |
|
Mining |
Smart exploration, yield optimization |
Python |
|
Consumer products |
Pricing and distribution |
R |
|
Healthcare |
Drug discovery and trials |
Python |