.. ME 400 Course Notes documentation master file, created by
   sphinx-quickstart on Thu May 18 16:16:58 2017.
   You can adapt this file completely to your liking, but it should at least
   contain the root `toctree` directive.




.. toctree::
   :maxdepth: 2

   Prologue <overview>
   Lecture 1 - Getting Started <lectures/Getting_Started>
   Lecture 2 - Basic Operators and Built-In Functions <lectures/Basic_Operators_and_Built-In_Functions>
   Lecture 3 - Basic Data Processing with NumPy and Matplotlib <lectures/Basic_Data_Processing_with_NumPy_and_Matplotlib>
   Lecture 4 - More on NumPy Arrays: Slicing and `np.linalg` <lectures/More_on_NumPy_Arrays>
   Lecture 5 - Algorithms, Flowcharts, and Pseudocode <lectures/Algorithms_Flowcharts_and_Pseudocode>
   Lecture 7 - Conditional Statements and the Structure of Python Code <lectures/Conditional_Statements_and_the_Structure_of_Python_Code>  
   Lecture 8 - More on Conditionals <lectures/More_on_Conditionals>  
   Lecture 9 - Loops in Python <lectures/Loops_in_Python>  
   Lecture 10 - More on Loops <lectures/More_on_Loops>  
   Lecture 11 - Pythonic Containers <lectures/Pythonic_Containers>  
   Lecture 12 - Processing Text Data <lectures/Processing_Text_Data>  
   Lecture 13 - Basics of Functions <lectures/Basics_of_Functions>  
   Lecture 14 - More on Functions <lectures/More_on_Functions>  
   Lecture 15 - Recursive Functions <lectures/Recursive_Functions> 
   Lecture 16 - Algorithm Complexity and Numerical Experiments <lectures/Algorithmic_Complexity> 
   Lecture 17 - Searching <lectures/Searching>  
   Lecture 18 - Sorting <lectures/Sorting>  
   Lecture 19 - Numerical Differentiation <lectures/Numerical_Differentiation>  
   Lecture 20 - Numerical Integration <lectures/Numerical_Integration> 
   Lecture 21 - Linear Systems <lectures/Linear_Systems> 
   Lecture 22 - Root Finding <lectures/Root_Finding>   
   Lecture 23 - Optimization <lectures/Optimization>   
   Lecture 24 - Modeling Data with Least Squares Fitting <lectures/Modeling_Data_With_Least_Squares_Fitting>   
   Lecture 25 - Modeling Data with Interpolation <lectures/Modeling_Data_With_Interpolation>   
   Lecture 26 - Euler's Method for IVPs <lectures/Eulers_Method_For_IVPs>   
   Lecture 27 - Systems of IVPs <lectures/Systems_Of_IVPs> 
   Lecture 28 - Numerical Solution of BVPs <lectures/Numerical_Solution_of_BVPs> 
   Appendix A - Modules and Packages <lectures/Modules_and_Packages>  
   Appendix B - Unit Tests and Defensive Programming <lectures/Unit_Tests_and_Defensive_Programming>