.. include:: refs.txt
.. include:: index_notebooks.txt
.. default-role:: math

..
   .. toctree::
      :hidden:

Week by week topics
+++++++++++++++++++


Week 1  Jan 3
=============

* `Introductory slides <pdfs/e213_01_Introduction.pdf>`_


Week 2  Jan 8/Jan 10
====================

* `Week 2 classroom notes <week2_class.rst>`_

* Python basics notebook: `1-python-basics_html`_

* `Day 2 post-class slides <https://www.dropbox.com/s/4ye71utxzozbusl/Lect1.pdf?dl=0>`_

* `Day 2 post-class slides with answers <https://www.dropbox.com/s/pmrvb2grhaiwuwa/Lect1_answers.pdf?dl=0>`_

Week 3  Jan 15/Jan 17
=====================

* Work in-class on:

  - First numpy notebook: `jan15_1-exploring-data-using-numpy_html`_

  - First matplotlib notebook `jan15_2_matplotlib_html`_

  - Second numpy notebook: `jan15_3-processing-data-using-numpy_html`_

  - TMF demo notebook:  `compute_tmf_volume_html`_

  - `TMF Assignment intro: <https://www.dropbox.com/s/kcbfw289286toqc/Lect1801.pdf?dl=0>`_

  - TMF assignment notebook: `tmf_assignment_pha_html`_

* Solution posted: `1-python-basics_solution <http://clouds.eoas.ubc.ca/~phil/Downloads/e213_solutions/1-python-basics_solution.html>`_

Week 4  Jan 22/Jan 24
=====================

- Jan. 22 Euler Approximation `Lec5_Euler_html`_


Week 5  Jan 29/Jan 31
=====================

- Jan. 29 Clicker Questions `<https://www.dropbox.com/s/334mjilxvm1wx3a/Euler_ClickerQ.pdf?dl=0>`_

- Here are the instructions for seeing your
  :ref:`assignment_handbacks`

- `5.1_finite_volume_1_html`_

- `5.1_finite_volume_2_html`_

- `5.1_finite_volume_3_html`_


Week 6  Feb 05/Feb 07
=====================

- `6_finite_volume_4_html`_

- `6_finite_volume_5_html`_

- `Quiz 1 answer key <http://clouds.eoas.ubc.ca/~phil/Downloads/e213_solutions/Quiz1_answers.pdf>`_

- Due Tuesday noon: `week6_assign_html`_

Week 7  Feb 19/Feb 21
=====================

- `7_finite_volume_6_html`_

- `7_finite_volume_7_html`_

- `Assignment_Transient_html`_ -- due Tuesday, Feb. 26

Week 8  Feb 26/Feb 28
=====================

- `week6_assign_solution_html`_

- `8_finite_volume_by_hand_html`_

- `python_functions_html`_

Week 9  Mar 05/Mar 07
=====================

- `Assignment_Transient_solution_html`_

- `2D_Assignment_Transient_Error_checkpoint_html`_

- `2D_assignment_restart_html`_

- `9_pdes_1_html`_

- `install_conda_howto_html`_

Week 10  Mar 12/Mar 14
=====================

- `9_finite_volume_f_diff_8_html`_

- `2D_Assignment_Transient_sparse_html`_

- `module_2D.py <https://github.com/phaustin/eosc213_students/blob/march12/notebooks/2D_Assignment_sparse/module_2D.py>`_ 

* `class_intro_mar12_html`_

* Solution to the by_hand assignment: `8_finite_volume_by_hand_ans_html`_

* Solution to the class introduction notebook: `class_intro_solution_html`_

* `quiz3_solution_html`_
  
* Getting started with pandas
  
  - `10-pandas1-reading-summarizing-csv-data_html`_
  - `10-pandas2-download-daily-data_html`_
  - `10-pandas3-process-daily-data_html`_
 
Week 11 Mar19/Mar 21
====================

- `Class slides for March 19 <pdfs/Lect_1903.pdf>`_
- `Solution to quiz 3 <pdfs/Quiz3_ans.pdf>`_
- `11-pandas4-process-seasonal_html`_   
- `11-random_numbers_html`_
-  Discuss: `Method chaining in pandas3 <https://github.com/phaustin/eosc213_students/blob/master/python/10-pandas3-process-daily-data.py#L61>`_
- Discuss: missing data in pandas4: `11-pandas4-process-seasonal_solution_html`_   
- `How to structure your project: <https://github.com/phaustin/eosc213_students/blob/master/project/Readme_g30.md>`_

Week 12 Mar26/Mar28
===================

- `Project guidelines <pdfs/project_2019_guidelines.pdf>`_
 
- Tuesday pandas in-class notebook: `march26_allques_html`_


Week 13 Apr02/Apr04
===================

- Start `cookbook_examples <https://github.com/phaustin/eosc213_students/tree/master/notebooks/cookbook_examples>`_ folder with notebook about colormaps and pcolormesh.
  
- `Course Learning Goals`_

- `Presentation overview`_

- `quiz4_solution_html`_

- `separate_colorbars_example_html`_

- `contourline_example_html`_


General notes
=============

- Good reference on plotting with matplotlib is
    `D. J. Pine Chapter 5: Plotting with matplotlib <https://clouds.eos.ubc.ca/~phil/djpine_python/chap5/chap5_plot.html>`_

- Books on python:

  - `Dive into Python 3 <https://www.diveinto.org/python3/>`_

  - `Python for data analysis <https://github.com/wesm/pydata-book>`_

.. _Course Learning Goals: learning_goals/learning_goals.ipynb

.. _Presentation overview: learning_goals/presentations.rst