Qingkai Kong is currently a seismologist at Lawrence Livermore National Laboratory. He is actively working on using machine learning approaches for seismic simulations and explosion discrimination. Dr. Kong has a Master's degree in Structural Engineering and a PhD. in Earth Science. Before joining the lab, he worked at Berkeley Division of Data Sciences and Berkeley Seismology Lab as a researcher to develop the MyShake project. He also worked as a visiting researcher at Google's visiting Faculty program to help build the Android Earthquake Alerting system. In his spare time, he loves playing soccer and kayaking in SF bay. Play better, work better.

PART 1 INTRODUCTION TO PYTHON PROGRAMMING

CHAPTER 1 Python Basics

CHAPTER 2 Variables and Basic Data Structures

CHAPTER 3 Functions

CHAPTER 4 Branching Statements

CHAPTER 5 Iteration

CHAPTER 7 Object-Oriented Programming
CHAPTER 8 Complexity

CHAPTER 9 Representation of Numbers

CHAPTER 10 Errors, Good Programming Practices, and Debugging

CHAPTER 11 Reading and Writing Data

CHAPTER 12 Visualization and Plotting

CHAPTER 13 Parallelize Your Python

PART 2 INTRODUCTION TO NUMERICAL METHODS

CHAPTER 14 Linear Algebra and Systems of Linear Equations

CHAPTER 15 Eigenvalues and Eigenvectors

CHAPTER 16 Least Squares Regression

CHAPTER 17 Interpolation

CHAPTER 18 Taylor Series

CHAPTER 19 Root Finding

CHAPTER 20 Numerical Differentiation

CHAPTER 21 Numerical Integration

CHAPTER 22 Ordinary Differential Equations (ODEs) Initial-Value Problems

CHAPTER 23 Boundary-Value Problems for Ordinary Differential Equations (ODEs)

CHAPTER 24 Fourier Transform