Adjust code block to syntax highlighted literals

.github/workflows/ci.yml

@@ -1,7 +1,7 @@
 name: Build Project [using jupyter-book]
 on: [push]
 jobs:
-  tests:
+  preview:
     runs-on: ubuntu-latest
     steps:
       - name: Checkout

.github/workflows/publish.yml

@@ -3,8 +3,9 @@ on:
   push:
     branches:
       - master
+      - add-binder
 jobs:
-  tests:
+  publish:
     runs-on: ubuntu-latest
     steps:
       - name: Checkout
@@ -24,19 +25,41 @@ jobs:
       - name: Display Pip Versions
         shell: bash -l {0}
         run: pip list
-      - name: Build HTML
-        shell: bash -l {0}
-        run: |
-          jb build lectures --path-output ./
+      # - name: Build HTML
+      #   shell: bash -l {0}
+      #   run: |
+      #     jb build lectures --path-output ./
       - name: Build Download Notebooks (sphinx-tojupyter)
         shell: bash -l {0}
         run: |
           jb build lectures --path-output ./ --builder=custom --custom-builder=jupyter
-          mkdir _build/html/_notebooks
-          cp _build/jupyter/*.ipynb _build/html/_notebooks
-      - name: Deploy
-        uses: peaceiris/actions-gh-pages@v3
+      # - name: Copy Download Notebooks for GH-PAGES
+      #   shell: bash -l {0}
+      #   run: |
+      #     mkdir _build/html/_notebooks
+      #     cp _build/jupyter/*.ipynb _build/html/_notebooks
+      # - name: Deploy to gh-pages
+      #   uses: peaceiris/actions-gh-pages@v3
+      #   with:
+      #     github_token: ${{ secrets.GITHUB_TOKEN }}
+      #     publish_dir: _build/html/
+      #     cname: python-programming.quantecon.org
+      - name: Prepare lecture-python-programming.notebooks sync
+        shell: bash -l {0}
+        run: |
+          mkdir -p _build/lecture-python-programming.notebooks
+          cp -a _notebook_repo/. _build/lecture-python-programming.notebooks
+          cp _build/jupyter/*.ipynb _build/lecture-python-programming.notebooks
+          ls -a _build/lecture-python-programming.notebooks
+      - name: Commit latest notebooks to lecture-python-programming.notebooks
+        uses: cpina/github-action-push-to-another-repository@master
+        env:
+          API_TOKEN_GITHUB: ${{ secrets.QUANTECON_SERVICES_PAT }}
         with:
-          github_token: ${{ secrets.GITHUB_TOKEN }}
-          publish_dir: _build/html/
-          cname: python-programming.quantecon.org
+          source-directory: '_build/lecture-python-programming.notebooks/'
+          destination-repository-username: 'QuantEcon'
+          destination-repository-name: 'lecture-python-programming.notebooks'
+          target-branch: 'update-notebooks'
+          commit-message: 'auto publishing updates to notebooks'
+          destination-github-username: 'quantecon-services'
+          user-email: services@quantecon.org

_notebook_repo/README.md

@@ -0,0 +1,7 @@
+# lecture-python-programming.notebooks
+
+[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/QuantEcon/lecture-python-programming.notebooks/master)
+
+Notebooks for https://python-programming.quantecon.org
+
+**Note:** This README should be edited [here](https://github.com/quantecon/lecture-python-programming.myst/.binder)

_notebook_repo/environment.yml

@@ -0,0 +1,17 @@
+name: lecture-python-programming
+channels:
+  - default
+dependencies:
+  - python=3.8
+  - anaconda
+  - pip
+  - pip:
+    - git+https://github.com/executablebooks/jupyter-book.git
+    - sphinxext-rediraffe
+    - git+https://github.com/executablebooks/sphinx-multitoc-numbering
+    - git+https://github.com/executablebooks/sphinx-exercise.git
+    - joblib
+    - interpolation
+    - git+https://github.com/QuantEcon/sphinx-tojupyter.git
+    - git+https://github.com/QuantEcon/quantecon-book-theme.git
+

lectures/getting_started.md

@@ -364,31 +364,31 @@ One library we'll be using is [QuantEcon.py](http://quantecon.org/quantecon-py).
 You can install [QuantEcon.py](http://quantecon.org/quantecon-py) by
 starting Jupyter and typing
 
-```{code-block} ipython3
+```ipython3
 !conda install quantecon
 ```
 
 into a cell.
 
 Alternatively, you can type the following into a terminal
 
-```{code-block} bash
+```bash
 conda install quantecon
 ```
 
 More instructions can be found on the [library page](http://quantecon.org/quantecon-py).
 
 To upgrade to the latest version, which you should do regularly, use
 
-```{code-block} bash
+```bash
 conda upgrade quantecon
 ```
 
 Another library we will be using is [interpolation.py](https://github.com/EconForge/interpolation.py).
 
 This can be installed by typing in Jupyter
 
-```{code-block} ipython3
+```ipython3
 !conda install -c conda-forge interpolation
 ```
 
@@ -516,7 +516,7 @@ As the 1st task, try
 
 For example, if you've installed the command line version, open up a terminal and enter.
 
-```{code-block} bash
+```bash
 git clone https://github.com/QuantEcon/QuantEcon.py
 ```
 

lectures/need_for_speed.md

@@ -197,7 +197,7 @@ Compiled languages avoid these overheads with explicit, static types.
 
 For example, consider the following C code, which sums the integers from 1 to 10
 
-```{code-block} c
+```c
 #include <stdio.h>
 
 int main(void) {

lectures/pandas.md

@@ -165,7 +165,7 @@ Let's look at an example that reads data from the CSV file `pandas/data/test_pwt
 
 Here's the content of `test_pwt.csv`
 
-```{code-block} none
+```
 "country","country isocode","year","POP","XRAT","tcgdp","cc","cg"
 "Argentina","ARG","2000","37335.653","0.9995","295072.21869","75.716805379","5.5788042896"
 "Australia","AUS","2000","19053.186","1.72483","541804.6521","67.759025993","6.7200975332"
@@ -292,7 +292,7 @@ For example, suppose that we are interested in the [unemployment rate](https://r
 Via FRED, the entire series for the US civilian unemployment rate can be downloaded directly by entering
 this URL into your browser (note that this requires an internet connection)
 
-```{code-block} none
+```
 https://research.stlouisfed.org/fred2/series/UNRATE/downloaddata/UNRATE.csv
 ```
 

lectures/python_advanced_features.md

@@ -142,7 +142,7 @@ All iterators can be placed to the right of the `in` keyword in `for` loop state
 
 In fact this is how the `for` loop works:  If we write
 
-```{code-block} python3
+```python3
 for x in iterator:
     <code block>
 ```
@@ -155,7 +155,7 @@ then the interpreter
 
 So now you know how this magical looking syntax works
 
-```{code-block} python3
+```python3
 f = open('somefile.txt', 'r')
 for line in f:
     # do something
@@ -526,7 +526,7 @@ We are now working in the module `__main__`, and hence the namespace for `__main
 
 Next, we import a module called `amodule`
 
-```{code-block} python3
+```python3
 import amodule
 ```
 
@@ -1660,7 +1660,7 @@ Write a function to recursively compute the $t$-th Fibonacci number for any $t$.
 
 Complete the following code, and test it using [this csv file](https://raw.githubusercontent.com/QuantEcon/lecture-python-programming/master/source/_static/lecture_specific/python_advanced_features/test_table.csv), which we assume that you've put in your current working directory
 
-```{code-block} python3
+```python3
 def column_iterator(target_file, column_number):
     """A generator function for CSV files.
     When called with a file name target_file (string) and column number
@@ -1680,7 +1680,7 @@ for date in dates:
 
 Suppose we have a text file `numbers.txt` containing the following lines
 
-```{code-block} none
+```
 prices
 3
 8

lectures/python_by_example.md

@@ -144,7 +144,7 @@ easily enough if you look around.
 
 On this machine, it's located in
 
-```{code-block} ipython
+```ipython
 anaconda3/lib/python3.7/site-packages/numpy
 ```
 
@@ -333,7 +333,7 @@ for animal in animals:
 This example helps to clarify how the `for` loop works:  When we execute a
 loop of the form
 
-```{code-block} python3
+```python3
 for variable_name in sequence:
     <code block>
 ```

lectures/python_essentials.md

@@ -314,7 +314,7 @@ Note that if `newfile.txt` is not in the present working directory then this cal
 
 In this case, you can shift the file to the pwd or specify the [full path](https://en.wikipedia.org/wiki/Path_%28computing%29) to the file
 
-```{code-block} python3
+```python3
 f = open('insert_full_path_to_file/newfile.txt', 'r')
 ```
 
@@ -620,7 +620,7 @@ After running this code, the docstring is available
 f?
 ```
 
-```{code-block} ipython
+```ipython
 Type:       function
 String Form:<function f at 0x2223320>
 File:       /home/john/temp/temp.py
@@ -632,7 +632,7 @@ Docstring:  This function squares its argument
 f??
 ```
 
-```{code-block} ipython
+```ipython
 Type:       function
 String Form:<function f at 0x2223320>
 File:       /home/john/temp/temp.py
@@ -692,7 +692,7 @@ Here the function created by `lambda` is said to be *anonymous* because it was n
 
 In a {ref}`previous lecture <python_by_example>`, you came across the statement
 
-```{code-block} python3
+```python3
 plt.plot(x, 'b-', label="white noise")
 ```
 

lectures/python_oop.md

@@ -776,15 +776,15 @@ Implement $F_n$ as a class called `ECDF`, where
 
 Your code should work as follows (modulo randomness)
 
-```{code-block} python3
+```python3
 from random import uniform
 
 samples = [uniform(0, 1) for i in range(10)]
 F = ECDF(samples)
 F(0.5)  # Evaluate ecdf at x = 0.5
 ```
 
-```{code-block} python3
+```python3
 F.observations = [uniform(0, 1) for i in range(1000)]
 F(0.5)
 ```