Python Projects for Beginners a ten-Week Bootcamp Approach to Python Programming

Figure 10-8. Rendering a 3D plot using color as the third dimension

WEDNESDAY EXERCISES

1. 
   Three Line Plot: Create three random lists of data that have 20 numbers between 1 and 10. then create a line plot with three lines, one for each list. Give each line their own color, dot symbol, and line style.
   
2. 
   User Information: Create a program that asks any number of users to give a rating between 1 and 5 stars and plots a bar chart of the data when no more users would like to answer. use the following text as an example of what to ask:
   

>>> What would you rate this movie (1-5)? 4
>>> Is there another user that would like to review (y/n)? y
>>> What would you rate this movie (1-5)? 5
>>> Is there another user that would like to review (y/n)? n

*** bar plot renders with two categories and two ratings ***
today we learned the importance of data visualization and how to create custom charts to show off our data properly. there’s a wide range of plots to choose from when using matplotlib, and each have their own pros and cons which you need to consider when choosing the type of plot. In the end, if you can’t properly show the data to those making the business decisions, then all the data you’ve collected is wasted.
Thursday: Web Scraping
You may have heard the term “web scraping” previously. In most languages like Python, web scraping is comprised of two parts: sending out a request and parsing the data. We’ll need to use the requests module for the first part and a library called Beautiful Soup for the second part. In a nutshell, the script you write to request data and parse it is called a “scraper.” For today’s lesson, we’ll be collecting some data using these two libraries.
Like yesterday’s lesson, we need to install a library into our virtual environment. To follow along with today’s lesson, cd into the “python_bootcamp” folder, and activate the environment. We’ll begin today within the terminal.