Course Schedule

[Mon, Jun 5]
Reproducibility 1

• course overview
• hardware, interpreters

[Tue, Jun 6]
Reproducibility 2

• OS
• versioning

[Wed, Jun 7]
Reproducibility 3

• git commands
• branching and merging
• conflict resolution

[Thu, Jun 8]
Performance 1

• check_output
• time
• identifying steps
• counting executed steps

[Mon, Jun 12]
Performance 2

• complexity analysis
• big O notation

[Tue, Jun 13]
Performance 3

• large data
• generators

[Wed, Jun 14]
OOP 1: Classes

• attributes
• methods
• constructors

[Thu, Jun 15]
OOP 2: Special Methods

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

[Mon, Jun 19]
OOP 3: Inheritance

• method resolution order
• overriding methods
• calling overridden methods

[Tue, Jun 20]
Recursion

• functions that return something
• functions that do something

[Wed, Jun 21]
Graphs and Trees Intro

• types of graph
• graphviz

[Thu, Jun 22]
Trees 1

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

[Mon, Jun 26]
Trees 2

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

[Tue, Jun 27]
Graph Search 1

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

[Wed, Jun 28]
Graph Search 2

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

[Thu, Jun 29]
Web 1: Selenium

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

[Mon, Jul 3]
Web 2: Recursive Crawl

• more tricky pages
• BFS for webpages

[Tue, Jul 4]
Independence Day

[Wed, Jul 5]
Web 3: Flask

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

[Thu, Jul 6]
Web 4: More Flask

• robots.txt
• query strings
• decorators

[Mon, Jul 10]
Web 5: A/B Testing

• data collection
• significance

[Tue, Jul 11]
Web 6: Dashboards

• dashboards
• POST
• CDFs

[Wed, Jul 12]
Regex 1

• character classes
• repetition
• anchoring

[Thu, Jul 13]
Regex 2

• practice

[Mon, Jul 17]
Visualization 1

• matplotlib coordinate systems
• drawing custom lines/polygons

[Tue, Jul 18]
Visualization 2

• geographic maps
• shapely
• coordinate reference systems

[Wed, Jul 19]
Visualization 3

• shapefiles, GeoJSON
• geocoding

[Thu, Jul 20]
ML Overview

• regression, classification
• clustering, decomposition

[Mon, Jul 24]
Regression 1

• sklearn LinearRegression
• explained variance
• train/test split

[Tue, Jul 25]
Regression 2

• PolynomialFeatures
• OneHot Encoding
• Pipelines

[Wed, Jul 26]
Linear Algebra 1

• numpy arrays
• numpy images
• multiplication

[Thu, Jul 27]
Linear Algebra 2

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

[Mon, Jul 31]
Linear Algebra 3

• column spaces
• projection matrices

[Tue, Aug 1]
Classification 1

• LogisticRegression
• multiclass, proba
• decision boundaries
• standardization

[Wed, Aug 2]
Classification 2

• confusion matrices
• accuracy, precision, recall

[Thu, Aug 3]
Clustering 1

• KMeans
• AgglomerativeClustering
• fit, transform, predict

[Mon, Aug 7]
Clustering 2

• AgglomerativeClustering
• linkage

[Tue, Aug 8]
Decomposition

• Principal Component Analysis (PCA)
• Feature Dimensionality Reduction
• Compressing Data

[Wed, Aug 9]
Parallelism

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

[Thu, Aug 10]
Final