Schedule

15:30-16:20 Lecture
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Introduction (PDF, PPT) & Intro to Python (PDF, PPT)
Read: ICPUP 1 or ThinkPython 1; Optional: PTut 1 or or PSA 1.4

15:30-16:20 Lecture
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Intro to Python
Read: ICPUP 2.0-2.1 or Think Python 2 & 7.1-7.2; Optional: PTut 3

15:30-16:20 Lecture
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Loops(PDF, PPT)
Read: ICPUP 3.2; Optional: PTut 4.2 & 4.3

15:30-16:20 Lecture
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Nested Loops, If(PDF, PPT)
Read: ICPUP 2.2 or ThinkP 5.1-5.7; Optional: PTut 4.1; 5.7; PSA 1.10

15:30-16:20 Lecture
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If

15:30-16:20 Lecture
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Functions(PDF, PPT)
Read: ICPUP 4.0-4.2 or Think P 3; Optional: PTut 4.6-4.8 or TCSPy 6.1, 6.2

15:30-16:20 Lecture
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Functions

15:30-16:20 Lecture
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Lists(PDF, PPT)
Read: ICPUP 5.5 (Optional: 5.3-5.3.1) or ThinkP 10;
Optional: PTut 5.1 only (not 5.1.1, 5.1.2. etc.) or TCSPy 10.1-10.8

15:30-16:20 Lecture
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Lists

15:30-16:20 Lecture
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File I/O (PDF, PPT) silly.py write.py silly.txt
Read: ICPUP 4.6 or Think P 14; Optional: PTut 7.2-7.2.1 or TCSPy 11.1-11.6

15:30-16:20 Lecture
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Dictionaries(PDF, PPT) word_count.py (dictionary, file I/O example)
Read: ICPUP 5.6 or ThinkP 11; Optional: PTut 5.5-5.8 or TCSPy 12.1-12.3;

15:30-16:20 Lecture
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Midterm Intro(PDF, PPT)

15:30-16:20 Lecture
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HW4 Topics
bad_float.py cool_stuff.py cool_user.py
Read: Modules: ThinkP 14.9; Optional: TCSPy 5

15:30-16:20 Lecture
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Sets (PDF, PPT)
Read: Sets: PTut 5.4

15:30-16:20 Lecture
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Graphs (PDF, PPT) & Sorting (PDF, PPT)
graphs.py states_border_edges.txt
Read: NetworkX graph library; Sorting: sorting (do not worry about "lambda")

15:30-16:20 Lecture
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Sorting

15:30-16:20 Lecture
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Mutability (PDF, PPT)
Read: ICPUP 5.1 & 5.2 or ThinkP 12, Optional: PTut 5.3; Python Documentation Section 3.1

15:30-16:20 Lecture
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Interpreting Exceptions
(PDF, PPT)
Read: TCSPy 13.1-13.3

15:30-16:20 Lecture
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Debugging
Read: ICPUP 6.2 or ThinkP Appendix A Optional: TCSPy 3.2, 3.4

15:30-16:20 Lecture
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Testing (PDF, PPT)
Read: ICPUP 6.1 Optional: TCSPy 20.2, 20.5

15:30-16:20 Lecture
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Visualization (PDF, PPT)
vis_slide_3.py vis_slide_4.py vis_options.py Read: PyPlot Tutorial; ICPUP 11 (Optional);

15:30-16:20 Lecture
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Statistics & Plotting (PDF, PPT, code)
Statistics: Intro and examples section (only) of Statistical hypothesis testing; ICPUP 15 & 16

15:30-16:20 Lecture
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Good Programming Practice (PDF, PPT)

15:30-16:20 Lecture
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Data Abstraction (Classes)(PDF, PPT, Module, Client, sample_text.txt, WordCounts-dict.py, WordCounts-list.py)
Read: ICPUP 8.0, 8.1, 8.3 (skim 8.2, 8.3.1, and 8.4) or ThinkP 15, Optional: Abstraction

15:30-16:20 Lecture
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Classes (cont.)(vehicle.py)

15:30-16:20 Lecture
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List Comprehensions (PDF, PPT)
Read: PTut 5.1.4, Optional: TCSPy 10.23

15:30-16:20 Lecture
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A Bit More Python (PDF, PPT) and What Next? (PDF, PPT)
Read: PTut 12

15:30-16:20 Lecture
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Final Review (PDF, PPT)