Hands-On Data Science with Anaconda

Dynamic visualization

Dynamic visualization means that we can see the concept or theory vividly, just like a video or movie. For example, in the Monte Carlo simulation, we could generate a set of random numbers from certain distributions, such as a uniform or a normal distribution. If we could show how particles moved within a range, learners would understand the concept of randomness better. This is like dropping red ink into a basin of water and observing how the ink diffuses. Another example is related to the so-called bisection method or bisection search. Assume that we have a database that contains daily trading data for over 5,000 stocks. There are many ways to retrieve one specific stock's information. One is called sequential search. ...