| Description: | This course provides fundamental skills needed to design, implement, and maintain computer applications focused on information processing, management, retrieval, and presentation. Students will learn object-oriented programming, data structures, algorithm analysis, and data processing techniques in the context of information science topics. |
| Room/Time: |
Section 001: MW 11:15am-12:30pm, Manning 208
Section 002: MW 1:25pm-2:40pm, Manning 304 |
| Instructor: | Rob Capra, r<lastname> at unc dot edu |
| Office hours: | Manning 210 – Click here to view or schedule an office hours meeting |
| Textbooks: |
INTPY: How to Think Like a Computer Scientist, interactive edition 2.0: https://runestone.academy/runestone/static/thinkcspy/index.html
TPY: Think Python: How to Think Like a Computer Scientist, 2nd edition. Downey, A. PDA: Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython, 2nd edition. McKinney, W.
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| Policies: | inls570_sp20_coursepolicies.pdf |
| Date | Topic(s) | Readings (should be done prior to class) |
|---|---|---|
| 8-Jan | Python Introduction | INTPY: General Intro |
| 13-Jan | Data, Loops, Modules | INTPY: Simple Python Data, Debugging INTPY: For loop (thru "Flow"), Modules |
| 15-Jan | Functions, Iteration | INTPY: Functions, Selection, More Iteration |
| 20-Jan | Holiday - No Class | |
| 22-Jan | Strings, Lists, Tuples | INTPY: Strings, Lists (include tuples) |
| 27-Jan | Files, Regular Expressions | INTPY: Files ext link:Python RegEx |
| 29-Jan | Text Analysis 1 | TPY: Ch9 Word Play |
| 03-Feb | Dictionaries | INTPY: Dictionaries |
| 05-Feb | Text Analysis 2 | TPY: Ch13 Case Study |
| 10-Feb | JSON | |
| 12-Feb | Recursion | INTPY: Recursion |
| 17-Feb | Objects/Classes | INTPY: Classes basics, Classes deeper TPY: Ch17 Classes |
| 19-Feb | OO Inheritance | TPY: Ch18 Inheritance |
| 24-Feb | Python for Data Analysis Data Analysis Examples |
PDA: Ch1-2, Preliminaries & Examples |
| 26-Feb | NumPy | PDA: Ch4, NumPy |
| 02-Mar | Review | |
| 04-Mar | Midterm Exam | |
| 09-Mar | SPRING BREAK | |
| 11-Mar | SPRING BREAK | |
| 16-Mar | Extended break due to Coronavirus - No class meeting | |
| 18-Mar | Extended break due to Coronavirus - No class meeting | |
| 23-Mar | NumPy | PDA: Ch4, NumPy |
| 25-Mar | NumPy | PDA: Ch4, NumPy |
| 30-Mar | PANDAS | PDA: Ch5, Pandas |
| 01-Apr | PANDAS | PDA: Ch5, Pandas |
| 06-Apr | PANDAS | PDA: Ch5, Pandas |
| 08-Apr | Data Handling | PDA: Ch6, Data Loading, Storage, File Formats |
| 28 | 13-Apr | Data Aggregation and Group Operations |
| 29 | 15-Apr | Pivot Tables Python Performance |
| 30 | 20-Apr | scikit-learn |
| 31 | 23-Apr | Review |
| FINAL EXAM | TBA |