**Plan your solution:**

- Draw a picture, in this case, list all of your data
- Remember the fundamentals and apply

- Draw your material or energy balance envelope (If necessary, not in this case)
- Remember [Accumulation = In – Out + Source/Sink]

- Think about what you need to do and the answer you want
- You need to perform a numerical integration of data, so you need an integration package
- You’ll want to print the solution to get the information

**How to start your program**:

- With Ipython open, open your editor
- Label your program (you’ll never remember it, go ahead and label it!)
- Import the packages you’ll need for solving

I looked at the Scipy.integrate documentation and found an integration package that could work with unevenly spaced data. I chose the Romberg integration package, but you could chose one of the others and try them.

I entered the data for x and x* into Scipy arrays. As we go on, you’ll see why this is such a nice feature. You can work with the arrays and perform all kinds of stuff easily. So, why don’t I quit talking and show you.

**Manipulate the Data to get ready for the Integration:**

You see, we can use the ‘arrays’ just like variables and work with them easily. Very cool.

**Set up the Integration and Print the Solution:**

So, that’s is pretty easy, don’t you think. We’ll discuss the solution in the next post.