Merge pull request #120 from QuantEcon/horace

.github/workflows/ci.yml

@@ -21,6 +21,13 @@ jobs:
       - name: Display Pip Versions
         shell: bash -l {0}
         run: pip list
+      - name: Download "build" folder (cache)
+        uses: dawidd6/action-download-artifact@v2
+        with:
+          workflow: publish.yml
+          branch: master
+          name: build-cache
+          path: _build
       - name: Build HTML
         shell: bash -l {0}
         run: |
@@ -29,8 +36,8 @@ jobs:
         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
+          mkdir -p _build/html/_notebooks
+          cp -u _build/jupyter/*.ipynb _build/html/_notebooks
       - name: Preview Deploy to Netlify
         uses: nwtgck/actions-netlify@v1.1
         with:

.github/workflows/publish.yml

@@ -1,10 +1,11 @@
 name: Build & Publish to GH Pages
 on:
   push:
-    branches:
-      - master
+    tags:
+      - 'publish*'
 jobs:
   publish:
+    if: github.event_name == 'push' && startsWith(github.event.ref, 'refs/tags')
     runs-on: ubuntu-latest
     steps:
       - name: Checkout
@@ -17,7 +18,7 @@ jobs:
           miniconda-version: 'latest'
           python-version: 3.8
           environment-file: environment.yml
-          activate-environment: lecture-python-programming
+          activate-environment: quantecon
       - name: Display Conda Environment Versions
         shell: bash -l {0}
         run: conda list
@@ -32,6 +33,11 @@ jobs:
         shell: bash -l {0}
         run: |
           jb build lectures --path-output ./ --builder=custom --custom-builder=jupyter
+          zip -r download-notebooks.zip _build/jupyter
+      - uses: actions/upload-artifact@v2
+        with:
+          name: download-notebooks
+          path: download-notebooks.zip
       - name: Copy Download Notebooks for GH-PAGES
         shell: bash -l {0}
         run: |
@@ -43,6 +49,11 @@ jobs:
           github_token: ${{ secrets.GITHUB_TOKEN }}
           publish_dir: _build/html/
           cname: python-programming.quantecon.org
+      - name: Upload "_build" folder (cache)
+        uses: actions/upload-artifact@v2
+        with:
+          name: build-cache
+          path: _build
       - name: Prepare lecture-python-programming.notebooks sync
         shell: bash -l {0}
         run: |

_notebook_repo/environment.yml

@@ -4,14 +4,4 @@ channels:
 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
 

environment.yml

@@ -1,16 +1,20 @@
-name: lecture-python-programming
+name: quantecon
 channels:
   - default
 dependencies:
   - python=3.8
-  - anaconda=2020.07
+  - anaconda=2020.11
   - pip
   - pip:
     - jupyter-book
-    - sphinxext-rediraffe
     - sphinx-multitoc-numbering
-    - joblib
-    - interpolation
-    - sphinx-tojupyter
     - quantecon-book-theme
+    - sphinx-tojupyter
+    - sphinxext-rediraffe
+    - sphinx-exercise
+    - jupytext
+    - ghp-import
+    - jupinx
+    # Temporary Fixes
+    - tornado>=6.1
 

lectures/_config.yml

@@ -28,6 +28,12 @@ sphinx:
       description: This website presents a set of lectures on python programming for economics, designed and written by Thomas J. Sargent and John Stachurski.
       keywords: Python, QuantEcon, Quantitative Economics, Economics, Sloan, Alfred P. Sloan Foundation, Tom J. Sargent, John Stachurski
       google_analytics_id: UA-54984338-9
+      launch_buttons:
+        notebook_interface        : classic  # The interface interactive links will activate ["classic", "jupyterlab"]
+        binderhub_url             : https://mybinder.org  # The URL of the BinderHub (e.g., https://mybinder.org)
+        jupyterhub_url            : https://datahub.berkeley.edu  # The URL of the JupyterHub (e.g., https://datahub.berkeley.edu)
+        thebe                     : false  # Add a thebe button to pages (requires the repository to run on Binder)
+        colab_url                 : https://colab.research.google.com # The URL of Google Colab (https://colab.research.google.com)
     rediraffe_redirects:
       index_toc.md: intro.md
     tojupyter_static_file_path: ["source/_static", "_static"]

lectures/_toc.yml

@@ -31,4 +31,5 @@
 
 - part: Other
   chapters:
-    - file: troubleshooting
+    - file: troubleshooting
+    - file: status

lectures/intro.md

@@ -14,11 +14,22 @@ kernelspec:
 This website presents a set of lectures on Python programming for economics and finance, designed and written by
 [Thomas J. Sargent](http://www.tomsargent.com/) and [John Stachurski](http://johnstachurski.net/). This is the first text in the series, which focuses on programming in Python.
 
-```{admonition} News
+```{admonition} New Build System
 [QuantEcon](https://quantecon.org) is moving to the [Jupyter Book](https://jupyterbook.org/intro.html)
 build system for all of its projects. We are a founding member of the
-[Executable Books Project](https://github.com/executablebooks) and this
-is the first in the QuantEcon lecture series to migrate. Please send feedback to [contact@quantecon.org](mailto:contact@quantecon.org)
+[Executable Books Project](https://github.com/executablebooks), an international collaboration to
+build open source tools that facilitate publishing using the Jupyter
+ecosystem. Please send feedback to [contact@quantecon.org](mailto:contact@quantecon.org)
+```
+
+```{admonition} News
+Tom Sargent, Chase Coleman, and Spencer Lyon have put together The [NYU Computational Social
+Science: Certificate Program](http://www.tomsargent.com/nyu_css.html).
+It uses many [quantecon](https://quantecon.org/lectures/index.html)
+resources. The program  aims to prepare students for either a graduate program in the social
+sciences or for a career as a data analyst or computational social scientist.
+
+[Applications and additional information are available here](https://as.nyu.edu/content/nyu-as/as/departments/computational-social-science.html)
 ```
 
 For an overview of the series, see [this page](https://quantecon.org/python-lectures/)

lectures/pandas.md

@@ -34,6 +34,7 @@ In addition to what’s in Anaconda, this lecture will need the following librar
 tags: [hide-output]
 ---
 !pip install --upgrade pandas-datareader
+!pip install --upgrade yfinance
 ```
 
 ## Overview
@@ -385,18 +386,28 @@ Note that pandas offers many other file type alternatives.
 
 Pandas has [a wide variety](https://pandas.pydata.org/pandas-docs/stable/user_guide/io.html) of top-level methods that we can use to read, excel, json, parquet or plug straight into a database server.
 
-### Using {index}`pandas_datareader <single: pandas_datareader>` to Access Data
+### Using {index}`pandas_datareader <single: pandas_datareader>` and {index}`yfinance <single: yfinance>` to Access Data
 
 ```{index} single: Python; pandas-datareader
 ```
 
-The maker of pandas has also authored a library called pandas_datareader that gives programmatic access to many data sources straight from the Jupyter notebook.
+The maker of pandas has also authored a library called
+[pandas_datareader](https://pandas-datareader.readthedocs.io/en/latest/) that
+gives programmatic access to many data sources straight from the Jupyter notebook.
 
 While some sources require an access key, many of the most important (e.g., FRED, [OECD](https://data.oecd.org/), [EUROSTAT](https://ec.europa.eu/eurostat/data/database) and the World Bank) are free to use.
 
+We will also use [yfinance](https://pypi.org/project/yfinance/) to fetch data from Yahoo finance
+in the exercises.
+
 For now let's work through one example of downloading and plotting data --- this
 time from the World Bank.
 
+```{note}
+There are also other [python libraries](https://data.worldbank.org/products/third-party-apps)
+available for working with world bank data such as [wbgapi](https://pypi.org/project/wbgapi/)
+```
+
 The World Bank [collects and organizes data](http://data.worldbank.org/indicator) on a huge range of indicators.
 
 For example, [here's](http://data.worldbank.org/indicator/GC.DOD.TOTL.GD.ZS/countries) some data on government debt as a ratio to GDP.
@@ -426,7 +437,7 @@ With these imports:
 
 ```{code-cell} python3
 import datetime as dt
-from pandas_datareader import data
+import yfinance as yf
 ```
 
 Write a program to calculate the percentage price change over 2019 for the following shares:
@@ -460,7 +471,8 @@ def read_data(ticker_list,
     ticker = pd.DataFrame()
 
     for tick in ticker_list:
-        prices = data.DataReader(tick, 'yahoo', start, end)
+        stock = yf.Ticker(tick)
+        prices = stock.history(start=start, end=end)
         closing_prices = prices['Close']
         ticker[tick] = closing_prices
 

lectures/status.md

@@ -0,0 +1,20 @@
+---
+jupytext:
+  text_representation:
+    extension: .md
+    format_name: myst
+kernelspec:
+  display_name: Python 3
+  language: python
+  name: python3
+---
+
+# Execution Statistics
+
+This table contains the latest execution statistics.
+
+```{nb-exec-table}
+```
+
+These lectures are built on `linux` instances through `github actions` so are
+executed using the following [hardware specifications](https://docs.github.com/en/actions/reference/specifications-for-github-hosted-runners#supported-runners-and-hardware-resources)