.. BYU MCL Bootcamp 2013 documentation master file, created by sphinx-quickstart on Wed Apr 17 14:33:56 2013. You can adapt this file completely to your liking, but it should at least contain the root `toctree` directive. Welcome to 2013 BYU MCL Bootcamp Home! ======================================== This website (or pdf) will be home to some resources that will be useful for boot campers and instructors. Lecture notes and assignments for the econ course associated with boot camp will be posted here for convinient access. Students will receive printed copies of the math materials in class. Boot camp is split into two courses: :doc:`Math 513R ` and :doc:`Econ 413R `. The math class will be held each Monday, Wednesday, and Friday from 8:00-10:00 AM and the economics class will be on the same days from 10:00-12:00 AM. There will also be lab class periods from 8:00-12:00 AM Tuesday and Thursday. Below is a tentative layout of the schedule: .. csv-table:: :header-rows: 1 :widths: 3, 3, 15, 10, 17, 12 :file: resources/syllabus.csv .. toctree:: :hidden: :maxdepth: 3 introduction economics math We recommend that all users of this site stop by the :doc:`Introduction page ` to get up to speed with a few things like how to submit assignments and making sure you are up and running with a suitable python distribution. To navigate this site use the ``Table of Contents`` found at the bottom of this page. There you will see links to the introduction page, as well as links to the home page for the econ and math courses. If you have any questions about how this site works, send Spencer an email at spencerlyon2@gmail.com. .. _mainTOC: Table of Contents ================= .. toctree:: :maxdepth: 2 introduction math labs economics homework photos .. Indices and tables .. ================== .. * :ref:`search` .. EVERYTHING BELOW WAS JUST FOR ME TESTING STUFF, BUT HAS BEEN COMMENTED OUT .. Testing ipython .. =============== .. Use iPython for everything! .. .. ipython:: python .. :suppress: .. import matplotlib.pyplot as plt .. import pandas as pd .. import numpy as np .. np.random.seed(123456) .. plt.close('all') .. pd.options.display.mpl_style='default' .. .. ipython:: python .. from numpy.random import randn .. ts = pd.Series(randn(1000), index=pd.date_range('1/1/2000', periods=1000)) .. ts = ts.cumsum() .. @savefig series_plot_basic.png width=6in .. ts.plot() .. Sections .. -------- .. Section headers (:duref:`ref `) are created by underlining (and .. optionally overlining) the section title with a punctuation character, at least .. as long as the text: .. ================= .. This is a heading .. ================= .. Normally, there are no heading levels assigned to certain characters as the .. structure is determined from the succession of headings. However, for the .. Python documentation, this convention is used which you may follow: .. * ``#`` with overline, for parts .. * ``*`` with overline, for chapters .. * ``=``, for sections .. * ``-``, for subsections .. * ``^``, for subsubsections .. * ``"``, for paragraphs