2. Week by week topics¶
2.1. Week 1 Jan 3¶
2.2. Week 2 Jan 8/Jan 10¶
Python basics notebook: 1-python-basics_html
2.3. 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 notebook: tmf_assignment_pha_html
Solution posted: 1-python-basics_solution
2.4. Week 4 Jan 22/Jan 24¶
Jan. 22 Euler Approximation Lec5_Euler_html
2.5. 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 Assignment handbacks
2.6. Week 6 Feb 05/Feb 07¶
Due Tuesday noon: week6_assign_html
2.7. Week 7 Feb 19/Feb 21¶
Assignment_Transient_html – due Tuesday, Feb. 26
2.8. Week 8 Feb 26/Feb 28¶
2.9. Week 9 Mar 05/Mar 07¶
2.10. Week 10 Mar 12/Mar 14¶
Solution to the by_hand assignment: 8_finite_volume_by_hand_ans_html
Solution to the class introduction notebook: class_intro_solution_html
Getting started with pandas
2.11. Week 11 Mar19/Mar 21¶
Discuss: Method chaining in pandas3
Discuss: missing data in pandas4: 11-pandas4-process-seasonal_solution_html
2.12. Week 12 Mar26/Mar28¶
Tuesday pandas in-class notebook: march26_allques_html
2.13. Week 13 Apr02/Apr04¶
Start cookbook_examples folder with notebook about colormaps and pcolormesh.
2.14. General notes¶
- Good reference on plotting with matplotlib is
Books on python: