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

TUESDAY EXERCISES

1. 
   User Input: Create a decorator that will ask the user for a number, and run the function it is attached to only if the number is less than 100. the function should simply output “Less than 100”. Use the function declaration in the
   

following:
>>> @decorator >>> def numbers( ):
>>> print("Less than 100")

2. 
   Creating a Route: Create a decorator that takes in a string as an argument with a wrap function that takes in func. have the wrap function print out the string, and run the function passed in. the function passed in doesn’t need to do anything. in Flask, you can create a page by using decorators that accept a Url string. Use the function declaration in the following to start:
   

>>> @route("/index") >>> def index( ):
>>> print("This is how web pages are made in Flask")

today was an important lesson in preparation for other technologies that use python, such as frameworks. decorators help to improve function execution and can be attached to any function necessary. this helps to reduce code and give improved functionality.
Wednesday: Modules
Most programs tend to include so many lines of code that you wouldn’t store it all within a single file. Instead you separate the code into several files, which helps to keep the project organized. Each one of these files is known as modules. Within these modules are variables, functions, classes, etc., that you can import into a project. Luckily, Python has a large following of developers that create modules for us to use in order to enhance our own projects. Today, we’ll look at some modules that are included with Python, how to import them, how to use them, and how to write our own modules to be used within Jupyter Notebook.
To follow along with this lesson, let’s continue from our notebook file “Week_09” and simply add a markdown cell at the bottom that says, “Modules.”