Schedule overview
-----------------

The bootcamp runs Tuesday through Friday July 21–August 7, 2020 from 8-10 am PDT via Zoom. Prior to the start of bootcamp proper, we will have two special sessions. At 8 am PDT on July 14, we will have a troubleshooting session for any installation issues. At noon on July 16, we will have our introductory lesson. Enrollees will have a private Zoom link emailed to them. Each lesson is approximately 40 minutes and is followed with a break. The lessons are given live via Zoom, but are recorded for future reference. Enrollees will also have private video links emailed to them. 

The TAs have office hours Monday and Wednesday nights, 6-8 pm PDT, starting July 22. Enrollees will be provided with Zoom links.

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Daily schedule (all times PDT)
------------------------------

- **Pre-bootcamp**

	+ :ref:`Lesson 0<Lesson 0: Configuring your computer>`: Configuring your computer (help session, not required, 8 am, July 14)

- **Day 0: Thursday, July 16**

	+ **12:00** - :ref:`Lesson 1: Welcome and Introduction to JupyterLab`

- **Day 1: Tuesday, July 21**

	+ **8:00** - :ref:`Lesson 2: Basic command line skills`
	+ **8:40** - :ref:`Lesson 3: Variables, operators, and types`
	+ **9:20** - :ref:`Lesson 4: More operators and conditionals`
	+ **9:55** - :ref:`Exercise 1`


- **Day 2: Wednesday, July 22**

	+ **8:00** - :ref:`Lesson 5: Lists and tuples`
	+ **8:45** - :ref:`Lesson 6: Iteration`
	+ **9:30** - :ref:`Exercise 2`


- **Day 3: Thursday, July 23**

	+ **8:00** - :ref:`Lesson 7: Introduction to functions`
	+ **8:45** - :ref:`Lesson 8: String methods`
	+ **9:30** - :ref:`Exercise 3`


- **Day 4: Friday, July 24**

	+ **8:00** - :ref:`Lesson 9: Dictionaries`
	+ **8:40** - :ref:`Lesson 10: Packages and modules`
	+ **9:00** - :ref:`Lesson 11: File I/O`
	+ **9:45** - :ref:`Exercise 4`


- **Day 5: Tuesday, July 28**

	+ **8:00** - :ref:`Lesson 12: Style`
	+ **8:45** - :ref:`Lesson 13: Introduction to Pandas`
	+ **9:30** - :ref:`Exercise 5`


- **Day 6: Wednesday, July 29**

	+ **8:00** - :ref:`Lesson 14: Tidy data and split-apply-combine`
	+ **8:45** - :ref:`Lesson 15: Making plots`
	+ **9:30** - :ref:`Exercise 6`


- **Day 7: Thursday, July 30**

	+ **8:00** - :ref:`Lesson 16: High level plotting`
	+ **9:15** - :ref:`Exercise 7`


- **Day 8: Friday, July 31**

	+ **8:00** - :ref:`Lesson 17: Introduction to Numpy and Scipy`
	+ **8:45** - :ref:`Lesson 18: Plotting time series and generated data`
	+ **9:30** - :ref:`Exercise 8`


- **Day 9: Tuesday, August 4**

	+ **8:00** - :ref:`Lesson 19: Version control with Git`
	+ **8:45** - :ref:`Lesson 20: Errors and Exception handling`
	+ **9:30** - :ref:`Exercise 9`


- **Day 10: Wednesday, August 5**

	+ **8:00** - :ref:`Lesson 21: Testing and test-driven development`
	+ **8:45** - :ref:`Lesson 22: Examples of TDD`
	+ **9:30** - :ref:`Exercise 10`


- **Day 11: Thursday, August 6**

	+ **8:00** - :ref:`Lesson 23: High level plotting with HoloViews`
	+ **8:45** - :ref:`Lesson 24: Dashboards`
	+ **9:30** - :ref:`Exercise 11`


- **Day 12: Friday, August 7**

	+ **8:00** - :ref:`Lesson 25: Survey of other packages and languages`
	+ **8:45** - :ref:`Lesson 26: Bootcamp recap`