Rename to consistent files. About to drop pdf support

Author: CamDavidsonPilon

Chapter1_Introduction/Chapter1_Introduction.ipynb renamed to Chapter1_Introduction/Chapter1.ipynb

@@ -1,4 +1,4 @@
 Chapter 1: Introduction to Bayesian Methods
 ===========
 
-### [Read it online here](http://nbviewer.ipython.org/urls/raw.github.com/CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers/master/Chapter1_Introduction/Chapter1_Introduction.ipynb)
+### [Read it online here](http://nbviewer.ipython.org/urls/raw.github.com/CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers/master/Chapter1_Introduction/Chapter1.ipynb)

Chapter1_Introduction/README.md

@@ -1,4 +1,4 @@
 Chapter 2: A little more on PyMC
 =================================
 
-### [Read it online here](http://nbviewer.ipython.org/urls/raw.github.com/CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers/master/Chapter2_MorePyMC/MorePyMC.ipynb)
+### [Read it online here](http://nbviewer.ipython.org/urls/raw.github.com/CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers/master/Chapter2_MorePyMC/Chapter2.ipynb)

Chapter2_MorePyMC/MorePyMC.ipynb renamed to Chapter2_MorePyMC/Chapter2.ipynb

@@ -1,4 +1,4 @@
 Chapter 3: Opening the black box of MCMC (Markov Chain Monte Carlo)
 ==================================================================
 
-### [Read it online here](http://nbviewer.ipython.org/urls/raw.github.com/CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers/master/Chapter3_MCMC/IntroMCMC.ipynb)
+### [Read it online here](http://nbviewer.ipython.org/urls/raw.github.com/CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers/master/Chapter3_MCMC/Chapter3.ipynb)

Chapter2_MorePyMC/README.md

@@ -1,3 +1,3 @@
 Chapter 4: The Greatest Theorem Never Told
 ====
-### [Read it online here](http://nbviewer.ipython.org/urls/raw.github.com/CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers/master/Chapter4_TheGreatestTheoremNeverTold/LawOfLargeNumbers.ipynb)
+### [Read it online here](http://nbviewer.ipython.org/urls/raw.github.com/CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers/master/Chapter4_TheGreatestTheoremNeverTold/Chapter4.ipynb)

Chapter3_MCMC/IntroMCMC.ipynb renamed to Chapter3_MCMC/Chapter3.ipynb

@@ -1,4 +1,4 @@
 Chapter 5: Would you rather lose an arm or a leg?
 ====
 
-### [Read it online here](http://nbviewer.ipython.org/urls/raw.github.com/CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers/master/Chapter5_LossFunctions/LossFunctions.ipynb)
+### [Read it online here](http://nbviewer.ipython.org/urls/raw.github.com/CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers/master/Chapter5_LossFunctions/Chapter5.ipynb)

Chapter3_MCMC/README.md

@@ -1,4 +1,4 @@
 Chapter 6: Getting our priorities straight
 ===========
 
-### [Read it online here](http://nbviewer.ipython.org/urls/raw.github.com/CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers/master/Chapter6_Priorities/Priors.ipynb)
+### [Read it online here](http://nbviewer.ipython.org/urls/raw.github.com/CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers/master/Chapter6_Priorities/Chapter6.ipynb)

Chapter4_TheGreatestTheoremNeverTold/LawOfLargeNumbers.ipynb renamed to Chapter4_TheGreatestTheoremNeverTold/Chapter4.ipynb

@@ -35,31 +35,31 @@ Interactive notebooks + examples can be downloaded by cloning!
 
 * [**Prologue:**](http://nbviewer.ipython.org/urls/raw.github.com/CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers/master/Prologue/Prologue.ipynb) Why we do it.
 
-* [**Chapter 1: Introduction to Bayesian Methods**](http://nbviewer.ipython.org/urls/raw.github.com/CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers/master/Chapter1_Introduction/Chapter1_Introduction.ipynb)
+* [**Chapter 1: Introduction to Bayesian Methods**](http://nbviewer.ipython.org/urls/raw.github.com/CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers/master/Chapter1_Introduction/Chapter1.ipynb)
     Introduction to the philosophy and practice of Bayesian methods and answering the question, "What is probabilistic programming?" Examples include:
     - Inferring human behaviour changes from text message rates
 
-* [**Chapter 2: A little more on PyMC**](http://nbviewer.ipython.org/urls/raw.github.com/CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers/master/Chapter2_MorePyMC/MorePyMC.ipynb)
+* [**Chapter 2: A little more on PyMC**](http://nbviewer.ipython.org/urls/raw.github.com/CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers/master/Chapter2_MorePyMC/Chapter2.ipynb)
     We explore modeling Bayesian problems using Python's PyMC library through examples. How do we create Bayesian models? Examples include:
     - Detecting the frequency of cheating students, while avoiding liars
     - Calculating probabilities of the Challenger space-shuttle disaster
 
-* [**Chapter 3: Opening the Black Box of MCMC**](http://nbviewer.ipython.org/urls/raw.github.com/CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers/master/Chapter3_MCMC/IntroMCMC.ipynb)
+* [**Chapter 3: Opening the Black Box of MCMC**](http://nbviewer.ipython.org/urls/raw.github.com/CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers/master/Chapter3_MCMC/Chapter3.ipynb)
     We discuss how MCMC operates and diagnostic tools. Examples include:
     - Bayesian clustering with mixture models
 
-* [**Chapter 4: The Greatest Theorem Never Told**](http://nbviewer.ipython.org/urls/raw.github.com/CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers/master/Chapter4_TheGreatestTheoremNeverTold/LawOfLargeNumbers.ipynb)
+* [**Chapter 4: The Greatest Theorem Never Told**](http://nbviewer.ipython.org/urls/raw.github.com/CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers/master/Chapter4_TheGreatestTheoremNeverTold/Chapter4.ipynb)
     We explore an incredibly useful, and dangerous, theorem: The Law of Large Numbers. Examples include:
     - Exploring a Kaggle dataset and the pitfalls of naive analysis
     - How to sort Reddit comments from best to worst (not as easy as you think)
 
-* [**Chapter 5: Would you rather lose an arm or a leg?**](http://nbviewer.ipython.org/urls/raw.github.com/CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers/master/Chapter5_LossFunctions/LossFunctions.ipynb)
+* [**Chapter 5: Would you rather lose an arm or a leg?**](http://nbviewer.ipython.org/urls/raw.github.com/CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers/master/Chapter5_LossFunctions/Chapter5.ipynb)
     The introduction of loss functions and their (awesome) use in Bayesian methods.  Examples include:
     - Solving the *Price is Right*'s Showdown
     - Optimizing financial predictions
     - Winning solution to the Kaggle Dark World's competition
 
-* [**Chapter 6: Getting our *prior*-ities straight**](http://nbviewer.ipython.org/urls/raw.github.com/CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers/master/Chapter6_Priorities/Priors.ipynb)
+* [**Chapter 6: Getting our *prior*-ities straight**](http://nbviewer.ipython.org/urls/raw.github.com/CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers/master/Chapter6_Priorities/Chapter6.ipynb)
     Probably the most important chapter. We draw on expert opinions to answer questions. Examples include:
     - Multi-Armed Bandits and the Bayesian Bandit solution.
     - What is the relationship between data sample size and prior?

Chapter4_TheGreatestTheoremNeverTold/README.md

@@ -0,0 +1,7 @@
+workon data
+cd Chapter1_Introduction/ && ipython nbconvert Chapter1.ipynb --to latex --post PDF  --template article
+cd ../Chapter2_MorePyMC/ && ipython nbconvert Chapter2.ipynb --to latex --post PDF --template article
+cd ../Chapter3_MCMC/ && ipython nbconvert Chapter3.ipynb --to latex --post PDF --template article
+cd ../Chapter4_TheGreatestTheoremNeverTold/ && ipython nbconvert Chapter4.ipynb --to latex --post PDF --template article
+cd ../Chapter5_LossFunctions/ && ipython nbconvert Chapter5.ipynb --to latex --post PDF --template article
+cd ../Chapter6_Priorities/ && ipython nbconvert Chapter6.ipynb --to latex --post PDF --template article