Class Schedule

Note: It's likely that the topics will change, but very UNlikely that the dates of labs, homeworks, or exams will. Homeworks are assigned on Friday, and they are due the following Friday at 9:00pm (unless otherwise noted). Quizzes go out on Mondays at 9am eastern; you have until 9:50am Friday to complete each quiz; you can submit multiple times.

Week	Reading	Topics	HW	Materials
1 Sept 9	Ch 1, 2.1-2.3	Topic: Welcome to DS2000! Variables Assignment Arithmetic operations	HW 1 (due 9/16 on Gradescope)	Sections 2, 3, 4 Starter code: lec1_starter.py Finished code: lec1_intro.py Section 1 01_intro.pdf hello.py terminal_quick_guide.pdf Handouts Create a shortcut to your home directory print() Variables
2 Sept 13/16	Ch 9.1-9.3	Topic: input/output print(), input() Type conversions Intro to Files Intro to reading text and numbers Quiz 1 (due 9/16 @ 9:50am)	HW 2 (due 9/23 on Gradescope) .zip with all data files for HW 2	Sections 2, 3, 4 lec2_starter.py lec2_input.py lec3_starter.py lec3_files_main.py zoo.py animals.txt Section 1 02_intro_python.pdf hello.py Handouts Runnable code in the following notes currently doesn't run, but notes are there! data types and operators input() function Casting & type conversion Reading files
3 Sept 20/23	Ch 3.1-3.7	Topic: Making Decisions Intro to data viz Boolean expressions Conditionals Iteration (while loops) Math library, random Quiz 2 (due 9/23 @ 9:50am)	HW 3 (due 9/30 on Gradescope)	Sections 2, 3, 4 lec4_starter.py lec4_conditionals.py zoo_reptile_aviary.py reptile.txt aviary.txt lec5_starter.py lec5_while.py hotcold.py Section 1 donut.py donut.txt donut.png ifelse.py control_flow.py control_flow.pdf counter.py collatz.pdf collatz.py collatz_plot.py collatz.png Handouts Conditionals While loops
4 Sept 27/30	Ch 5.1-5.6	Topic: Lists and Loops Ethics of data sources Intro to lists Iteration (for loops) Quiz 3 (released 9/26 @ 9am; due 9/30 @ 9:50am)	HW 4 (due 10/11 on Gradescope) rodents_311_2021_small.csv rodents_311_2021.csv	Sections 2, 3, 4 lec6_starter.py distances.txt lec6_while_part2_files.py hotcold_plots.py Google doc for Sec 3/4 Office Hours 9/27 lec7_starter.py muzny_distances.txt strange_distances.txt lec7_lists_forloops.py analyze_dists.py Section 1 list_fundamentals.py reading_files.py cases.csv forloops.py kepler.py kepler.csv kepler.png kepler_mission.pdf Handouts Common while loop patterns Lists
5 Oct 4/7	Ch 5.7-5.8, 4.1-4.2	Topic: Intro to Functions Lists cont'd Multiple lists Intro to functions Calling functions Quiz 4 (due 10/7 @ 9:50am)	no homework this week! schedule updated to have 8 homeworks instead of 9	Sections 2, 3, 4 lec8_starter.py lec8_for_functions_part1.py lec9_starter.py earnings_starter.py boston_earnings_small.csv boston_earnings.csv lec9_functions_part2.py earnings.py Section 1 first_functions.py Obligatory XKCD cherry.csv: 1200 years of cherry blossom data! phenology_not_phrenology.pdf cherry.py cherry.png Handouts Python list functions Writing functions
6 Oct 11/14	Ch 4.3-4.11	Topic: Functions Cont'd and 2D Lists Slicing and Indexing 2 Dimensional Lists Program Structure Parameters and Scope Optional Parameters CSV Files and List of Lists Quiz 5 (due 10/14 @ 9:50am)	HW 5 (release on 10/11, due 10/21) exoplanets.csv	Sections 2, 3, 4 lec10_starter.py earnings.py (from 10/7 lecture, we'll start from here on 10/11) lec10_list_of_lists.py earnings_lec10.py lec11_starter.py lec11_mutation_parameters.py Section 1 lol.py- 2-dimensional lists pattern.png- Exploring number theory cherry.py- Now uses dataproc.py dataproc.py- A data processing library Handouts Lists and mutating
7 Oct 18/21	Ch 5.16-5.18	Topic: Dictionaries Dictionaries Keys and Values Counting with dictionaries Iterating with dictionaries Tuples if __name__ == "__main__" & custom modules Quiz 6 (due 10/21 @ 9:50am)	HW 6 (due 10/28) heart.csv	Sections 2, 3, 4 lec12_starter.py data_utils.py (updated to include if __name__ == "__main__") lec12_functions_modules_dicts.py lec13_starter.py weather_starter.py weather_sample.csv lec13_finished.py weather_finished.py Section 1 dict_crud.py Handouts Writing custom modules Some more matplotlib references Think Python: Dictionaries
8 Oct 25/28	Ch 6.1-6.2, 9.5	Topic: Dictionaries Dictionaries & Applications Data & Data Issues No Quiz this week! Just work on HW 6!	HW 7 (due 11/4) trips.csv stations.csv	Sections 2, 3, 4 lec14_starter.py moviereview_starter.py blackadam.txt tickettoparadise.txt lec14_dicts_focus_part1.py moviereview.py 10/28 - Lecture will be given asynchronously and office hours will be held in RI 236 during sections 2 & 3 for all students (in all sections). No meeting held during section 4. Lecture recording: Link lec15_starter.py movies.csv Completed materials, to be consulted after you watch the recording lec15_list_of_dicts.py data_utils.py Section 1 words.txt dict_patterns.py The Hill We Climb by Amanda Gorman climb.py dataproc.py- Updated for dictionaries and text files! reader.py- Reading data into a list of dictionaries sample.csv Handouts
9 Nov 1/4	Ch 8.1-8.9	Topic: String Processing Sentiment analysis Strings and text processing Cleaning data Quiz 7		Sections 2, 3, 4 lec16_starter.py NEU Common Data Set movies.csv lec16_strings_data_design.py lec17_starter.py Chatbot! taylorswift_starter.py antihero.txt lavenderhaze.txt stopwords.txt positive-words.txt negative-words.txt lec17_naturallang.py taylorswift_nov4.py Section 1 asteroid.png strings.ipynb- A jupyter noteboook strings.pdf- The notebook saved as a PDF obama.txt trump.txt positive-words.txt negative-words.txt dataproc.py sentiment.ipynb sentiment.pdf sets.ipynb sets.pdf Handouts Strings String functions
10 Nov 8/11	Ch 10.1-10.4	Topic: Classes + Objects Intro to classes and objects Methods No class Fri, Nov 11 - Veteran's Day	HW 8 due 11/18 on Gradescope starwars.txt positive-words.txt negative-words.txt	Sections 2, 3, 4 lec18_starter.py taylorswift_nov4.py antihero.txt lavenderhaze.txt stopwords.txt positive-words.txt negative-words.txt lec18_sentiment_sets_movingavg.py Finished: taylorswift_nov8.py Section 1 object_basics.pdf Handouts
11 Nov 15/18	Ch 13.1-13.8	Topic: Classes + Objects Cont'd Classes and objects cont'd Structures to represent object data Quiz 8 (release 11/14 @ 9:00am, due 10/18 @ 9:50am)		Sections 2, 3, 4 lec19_jupyter.ipynb Jupyter demo video lec19_jupyter_final.html lec19_starter.py lec19_classes_part1.py lec20_starter.py lec20_classes_part2.py pokemon.py YouTube Pokemon Battle Example Section 1 objects.pdf (Full slidedeck) shapes_start.py (Starting code from last time) shapes.py movies.csv (Data for recommender) recommend.py Handouts
12 Nov 22/25	Ch 8.13, 7.14	Topic: Files and Data Sources JSON files API calls Requests library No class Fri, Nov 25 - Thanksgiving		Sections 2, 3, 4 lec21_starter.py lec21_apis_json.py pokemon_part2.py Section 1 example.json requests_start.ipynb Handouts
13 Nov 29/Dec 2		Topic: Pandas Data processing with Pandas Data frames Quiz 9 (release 11/28 @ 9:00am, due 12/2 @ 9:50am)		Sections 2, 3, 4 lec22_starter.py lec22_gerrymandering_lec.pdf (annotated from lecture) lec22_pandas_dataframes.py lec23_starter.py lec23_spotify.pdf lec23_starter.py timing.py (updated code from lecture) Section 1 vsx.csv A catalog of variable stars About Variable Stars variable_stars.ipynb (A Jupyter Notebook) Notebook PDF Prof. Rachlin doesn't want to talk about pandas and instead asks the question: What makes us human? human_small.fa chimp_small.fa genomics.pdf genome.py pct_gc.png repeats.png Handouts
14 Dec 6		Wrap up Last Day: 12/6 (check with your DS 2001 instructor for finals week logistics for DS 2001)		Sections 2, 3, 4 We'll play some trivia! We'll learn some life things! (maybe) lec24_review.pdf lec24_review_lec.pdf (annotated) (this is your opportunity to learn about any of the following) "when I went to undergrad I meant to study chemistry because who doesn't want to make magic potions" "and that's how I ended up living in France and eating cheese instead of completing my PhD" "why live in Denmark in the Spring when you could live in Denmark in the middle of winter" ...etc Section 1 The last class is the most important class of the semester! Prof. Rachlin tells the story: "The second time they almost kicked me out of Cornell." CLASS WILL NOT BE RECORDED! Please do your TRACE evaluations.