Course Schedule

[Mon] No Class (Jan 24)

[Wed] Reproducibility 1 (Jan 26)

• Course Overview
• Hardware, OS, Interpreters

[Fri] Reproducibility 2 (Jan 28)

• versioning

[Mon] Performance 1 (Jan 31)

• git

[Wed] Performance 2 (Feb 2)

• check_output
• time
• identifying steps
• counting executed steps

[Fri] Performance 3 (Feb 4)

• complexity analysis
• big O notation
• worksheet practice

[Mon] Performance 4 (Feb 7)

• large data
• generators

[Wed] OOP 1: Classes (Feb 9)

• attributes
• methods
• constructors

[Fri] OOP 2: Special Methods (Feb 11)

• __str__, __repr__, _repr_html_
• __eq__, __lt__
• __len__, __getitem__
• __enter__, __exit__

[Mon] OOP 3: Inheritance (Feb 14)

• method resolution order
• overriding methods
• calling overridden methods

[Wed] Recursion (Feb 16)

• functions that return something
• functions that do something

[Fri] Graphs and Tree Intro (Feb 18)

• types of graph
• graphviz

[Mon] Trees 1 (Feb 21)

• trees
• binary trees
• binary search trees (BSTs)

[Wed] Trees 2 (Feb 23)

• BSTs: height, for sets+dicts
• depth-first search

[Fri] Graph Search 1 (Feb 25)

• breadth-first search
• stacks, queues, priority queues

[Mon] Graph Search 2 (Feb 28)

• deque (for queues)
• heapq (for priority queues)
• web intro

[Wed] Web 1: Selenium (Mar 2)

• finding elements, text
• polling
• screenshots
• clicking, typing

[Fri] Web 2: Recursive Crawl (Mar 4)

• more tricky pages
• BFS for webpages

[Mon] Exam 1 (In-Class) (Mar 7)

[Wed] Web 3: Flask (Mar 9)

• Internet overview
• flask
• headers, rate limiting (HTTP 429)

[Fri] Web 4: More Flask (Mar 11)

• robots.txt
• query strings
• decorators

[Mon] Spring Break (Mar 14)

[Wed] Spring Break (Mar 16)

[Fri] Spring Break (Mar 18)

[Mon] Web 5: A/B testing (Mar 21)

• data collection
• significance

[Wed] Web 6: Dashboards (Mar 23)

• dashboards
• POST
• CDFs

[Fri] Regex 1 (Mar 25)

• character classes
• repetition
• anchoring

[Mon] Regex 2 (Mar 28)

• practice

[Wed] Visualization 1 (Mar 30)

• matplotlib coordinate systems
• drawing custom lines/polygons

[Fri] Visualization 2 (Apr 1)

• geographic maps
• shapely
• coordinate reference systems

[Mon] Visualization 3 (Apr 4)

• shapefiles, GeoJSON
• DPI (dots per inch)
• animations

[Wed] Visualization 4 (Apr 6)

• animation
• FuncAnimation
• frames, intervals, fps

[Fri] ML overview (Apr 8)

• regression, classification
• clustering, decomposition

[Mon] Exam 2 (In-Class) (Apr 11)

[Wed] Regression 1 (Apr 13)

• sklearn LinearRegression
• explained variance
• train/test split

[Fri] Regression 2 (Apr 15)

• PolynomialFeatures
• OneHot Encoding
• Pipelines

[Mon] Linear Algebra 1 (Apr 18)

• numpy arrays
• numpy images
• multiplication

[Wed] Linear Algebra 2 (Apr 20)

• more multiplication
• fit with np.linalg.solve
• predict with np.dot
• column perspective

[Fri] Linear Algebra 3 (Apr 22)

• column spaces
• projection matrices

[Mon] Classification 1 (Apr 25)

• LogisticRegression
• multiclass, proba
• decision boundaries
• standardization

[Wed] Classification 2 (Apr 27)

• confusion matrices
• accuracy, precision, recall

[Fri] Clustering 1 (Apr 29)

• KMeans
• AgglomerativeClustering
• fit, transform, "predict"

[Mon] Clustering 2 (May 2)

• binary trees as matrices
• dendrograms
• linkage matrices

[Wed] Decomposition (May 4)

• Principal Component Analysis (PCA)
• Compressing Data

[Fri] Parallelism (May 6)

• threads vs. processes
• multiprocessing pools
• parallel map
• pytorch