Skip to main content

Ctrl+K

NYCUDOPCS

Part I: Fundamentals of Computer Science and Python Programming

01. Overview
02. Python Basics, Branching, and Iteration
03. Simple Numerical Algorithms I
04. Abstraction, Decomposition, and Functions
05. Tuples, Lists, Mutability, Aliasing, and Cloning
06. Recursion and Dictionaries
07. Modules, Packages, Exception, and Assertion
08. Introduction to Object-Oriented Programming I
09. Introduction to Object-Oriented Programming II
10. Introduction to Computational Complexity
11. Simple Numerical Algorithms II

Part II: Introduction to Data Processing and Visualization with Python

12. Introduction to NumPy and Matplotlib I
13. Introduction to NumPy and Matplotlib II
14. Data Analysis and More Data Visualization with Python I
15. Data Analysis and More Data Visualization with Python II
16. Knapsack Problems, Dynamic Programming, and Graph Optimization Problems

Part III: Data Science with Python

17. Random Walks and Stochastic Programs
18. Limit Theorems and Monte Carlo Method
19. Introduction to Statistical Inference
20. Randomized Trials and Hypothesis Checking

Archives

A01. Introduction to Concurrency and Parallelism
A02. Homeworks

Repository
Open issue

Search

Ctrl+K

By Chieh-En Lee

© Copyright 2023.