.. Created by Adam Cunnningham on Sat Dec 10 2016.

**Week 4: February 20 - 24**
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Floating-Point Arithmetic - Hazards and Fixes
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Our exploration of floating-point arithmetic continues with an examination of common problems that can arise, and the ways in which these problems can be avoided.

Week 4 Notebook
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- `View online <./Week4Notebook.html>`_
- :download:`Download <../Lessons/Week4/Week4Notebook.ipynb>`

Jupyter Notebook
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- IPython "magics": %timeit and %%timeit

Python
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- List concatenation
- List indexing and slicing

NumPy
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NumPy is the standard package for numerical computing in Python. It uses a new container for numerical data - the ndarray - that supports fast and efficient computation. NumPy also defines routines for accessing and manipulating these arrays.

- Array creation
- Array operations
- Vectorization
- **where**

Matplotlib
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- **legend**
- **xlim**, **ylim**

Quiz 3: Markdown and LaTeX
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- Headers
- Formatting text
- Mathematical expressions

:download:`Sample Quiz 3 <../Quizzes/Quiz3Sample.pdf>`

Report 2
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:doc:`python_floating_point`