remove all index derivatives

Author: kp992

lectures/about_py.md

@@ -9,8 +9,6 @@ kernelspec:
   name: python3
 ---
 
-```{index} single: python
-```
 
 # About These Lectures
 
@@ -86,7 +84,7 @@ This is important because it
 
 ### Common Uses
 
-{index}`Python <single: Python; common uses>` is a general-purpose language used in almost all application domains, including
+Python is a general-purpose language used in almost all application domains, including
 
 * AI 
 * scientific computing
@@ -155,8 +153,6 @@ Other features of Python:
 
 ### Syntax and Design
 
-```{index} single: Python; syntax and design
-```
 
 One reason for Python's popularity is its simple and elegant design --- we'll see many examples later on.
 
@@ -274,8 +270,6 @@ These lectures will explain how.
 
 ## Scientific Programming with Python
 
-```{index} single: scientific programming
-```
 
 We have already discussed the importance of Python for AI, machine learning and data science
 
@@ -299,9 +293,6 @@ This section briefly showcases some examples of Python for general scientific pr
 
 ### NumPy
 
-```{index} single: scientific programming; numeric
-```
-
 One of the most important parts of scientific computing is working with data.
 
 Data is often stored in matrices, vectors and arrays.
@@ -402,8 +393,6 @@ Later we'll discuss SciPy in more detail.
 
 ### Graphics
 
-```{index} single: Matplotlib
-```
 
 A major strength of Python is data visualization.
 
@@ -458,8 +447,6 @@ For example, we are interesting in studying
 
 Python has many libraries for studying networks and graphs.
 
-```{index} single: NetworkX
-```
 
 One well-known example is [NetworkX](http://networkx.github.io/).
 

lectures/debugging.md

@@ -11,9 +11,6 @@ kernelspec:
 
 # Debugging and Handling Errors
 
-```{index} single: Debugging
-```
-
 ```{epigraph}
 "Debugging is twice as hard as writing the code in the first place.
 Therefore, if you write the code as cleverly as possible, you are, by definition,
@@ -36,9 +33,6 @@ In this lecture, we will discuss how to debug our programs and improve error han
 
 ## Debugging
 
-```{index} single: Debugging
-```
-
 Debugging tools for Python vary across platforms, IDEs and editors.
 
 For example, a [visual debugger](https://jupyterlab.readthedocs.io/en/stable/user/debugger.html) is available in JupyterLab.
@@ -246,8 +240,6 @@ The full list of magics is [here](http://ipython.readthedocs.org/en/stable/inter
 
 ## Handling Errors
 
-```{index} single: Python; Handling Errors
-```
 
 Sometimes it's possible to anticipate bugs and errors as we're writing code.
 
@@ -283,8 +275,6 @@ We have seen `AttributeError` and `NameError` in [our previous examples](#debug_
 
 In Python, there are two types of errors -- syntax errors and exceptions.
 
-```{index} single: Python; Exceptions
-```
 
 Here's an example of a common error type
 
@@ -337,8 +327,6 @@ In Python, these errors are called *exceptions*.
 
 ### Assertions
 
-```{index} single: Python; Assertions
-```
 
 Sometimes errors can be avoided by checking whether your program runs as expected.
 
@@ -370,8 +358,6 @@ The advantage is that we can
 
 ### Handling Errors During Runtime
 
-```{index} single: Python; Runtime Errors
-```
 
 The approach used above is a bit limited, because it always leads to
 termination.

lectures/functions.md

@@ -11,8 +11,6 @@ kernelspec:
 
 # Functions
 
-```{index} single: Python; User-defined functions
-```
 
 ## Overview
 
@@ -158,8 +156,6 @@ Functions without a return statement automatically return the special Python obj
 (pos_args)=
 ### Keyword Arguments
 
-```{index} single: Python; keyword arguments
-```
 
 In a [previous lecture](python_by_example.md), you came across the statement
 
@@ -217,8 +213,6 @@ a function in the following sections.
 
 ### One-Line Functions: `lambda`
 
-```{index} single: Python; lambda functions
-```
 
 The `lambda` keyword is used to create simple functions on one line.
 
@@ -312,8 +306,6 @@ The net result is that the name `data` is *bound* to the list `ϵ_values` return
 
 ### Adding Conditions
 
-```{index} single: Python; Conditions
-```
 
 Our function `generate_data()` is rather limited.
 
@@ -398,8 +390,6 @@ function*---as we did above.
 (recursive_functions)=
 ## Recursive Function Calls (Advanced)
 
-```{index} single: Python; Recursion
-```
 
 This is an advanced topic that you should feel free to skip.
 

lectures/getting_started.md

@@ -9,24 +9,8 @@ kernelspec:
   name: python3
 ---
 
-<!-- TODO: Review this styling -->
-
-<style>
-  .auto {
-    width: 70%;
-    height: auto;
-    } 
-  .terminal{
-    width: 80%;
-    height: auto;
-  }  
-</style>
-
-
 # Getting Started
 
-```{index} single: Python
-```
 
 ## Overview
 
@@ -95,8 +79,6 @@ Anaconda also comes with a package management system to organize your code libra
 (install_anaconda)=
 ### Installing Anaconda
 
-```{index} single: Python; Anaconda
-```
 
 To install Anaconda, [download](https://www.anaconda.com/download/) the binary and follow the instructions.
 
@@ -119,16 +101,7 @@ As a practice run, please execute the following
 For more information on conda, type conda help in a terminal.
 
 (ipython_notebook)=
-## {index}`Jupyter Notebooks <single: Jupyter Notebooks>`
-
-```{index} single: Python; IPython
-```
-
-```{index} single: IPython
-```
-
-```{index} single: Jupyter
-```
+## Jupyter Notebook
 
 [Jupyter](http://jupyter.org/) notebooks are one of the many possible ways to interact with Python and the scientific libraries.
 
@@ -157,8 +130,6 @@ These lectures are designed for executing in Jupyter notebooks.
 
 ### Starting the Jupyter Notebook
 
-```{index} single: Jupyter Notebook; Setup
-```
 
 Once you have installed Anaconda, you can start the Jupyter notebook.
 
@@ -203,8 +174,6 @@ The notebook displays an *active cell*, into which you can type Python commands.
 
 ### Notebook Basics
 
-```{index} single: Jupyter Notebook; Basics
-```
 
 Let's start with how to edit code and run simple programs.
 
@@ -319,8 +288,6 @@ In this way, the Tab key helps remind you of what's available and also saves you
 (gs_help)=
 #### On-Line Help
 
-```{index} single: Jupyter Notebook; Help
-```
 
 To get help on `np.random.randn`, we can execute `np.random.randn?`.
 
@@ -357,8 +324,6 @@ Now we `Shift+Enter` to produce this
 
 ### Debugging Code
 
-```{index} single: Jupyter Notebook; Debugging
-```
 
 Debugging is the process of identifying and removing errors from a program. 
 
@@ -393,11 +358,6 @@ You can explore more functionality of the debugger in the [Jupyter documentation
 
 ### Sharing Notebooks
 
-```{index} single: Jupyter Notebook; Sharing
-```
-
-```{index} single: Jupyter Notebook; nbviewer
-```
 
 Notebook files are just text files structured in [JSON](https://en.wikipedia.org/wiki/JSON) and typically ending with `.ipynb`.
 
@@ -430,10 +390,6 @@ to comments and votes by the community.
 
 ## Installing Libraries
 
-(gs_qe)=
-```{index} single: QuantEcon
-```
-
 Most of the libraries we need come in Anaconda.
 
 Other libraries can be installed with `pip` or `conda`.
@@ -511,10 +467,8 @@ following questions:
 1. how should you execute it?
 1. How should you modify or edit it?
 
-#### Option 1: {index}`JupyterLab <single: JupyterLab>`
+#### Option 1: JupyterLab
 
-```{index} single: JupyterLab
-```
 
 [JupyterLab](https://github.com/jupyterlab/jupyterlab) is an integrated development environment built on top of Jupyter notebooks.
 

lectures/matplotlib.md

@@ -9,10 +9,8 @@ kernelspec:
   name: python3
 ---
 
-# {index}`Matplotlib <single: Matplotlib>`
+# Matplotlib
 
-```{index} single: Python; Matplotlib
-```
 
 ## Overview
 
@@ -40,8 +38,6 @@ But first, let's discuss the difference.
 
 ## The APIs
 
-```{index} single: Matplotlib; Simple API
-```
 
 ### The MATLAB-style API
 
@@ -138,8 +134,6 @@ We mention just a few.
 
 ### Multiple Plots on One Axis
 
-```{index} single: Matplotlib; Multiple Plots on One Axis
-```
 
 It's straightforward to generate multiple plots on the same axes.
 
@@ -162,9 +156,6 @@ plt.show()
 
 ### Multiple Subplots
 
-```{index} single: Matplotlib; Subplots
-```
-
 Sometimes we want multiple subplots in one figure.
 
 Here's an example that generates 6 histograms
@@ -184,8 +175,6 @@ plt.show()
 
 ### 3D Plots
 
-```{index} single: Matplotlib; 3D Plots
-```
 
 Matplotlib does a nice job of 3D plots --- here is one example