Kan-Hua Lee kanhua

## DLFTS calculation.ipynb

      
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                kanhua
                / DLFTS calculation.ipynb
            
            
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              October 2, 2018 06:16
            
              
                Demo of Deep Level Fourier Transient Spectroscopy (DLFTS)
              
          
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## quarter_polar_plot.py
"""
Reference:
1. https://gist.github.com/ycopin/3342888
2. http://matplotlib.org/mpl_toolkits/axes_grid/users/overview.html#axisartist

"""

import numpy as np
import matplotlib.pyplot as plt

## README.md

      
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                kanhua
                / README.md
            
            
              Last active
              February 1, 2023 17:08
            
              
                A template of writing C or C++ extension for python and numpy 
              
          
    This gist demonstrates how to setup a python project that process a numpy array from C language.
To compile the project, run
make all

To test it, run
make test


## pandas_groupby
{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [

## monte_carlo_pi.jl
# Calculate Pi using monte carlo method

function estimate_pi_vec()
	# Vectorized way of calculating Pi
	# This style is commonly seen in python or Matlab/Octave to avoid for loops

	samplenum=100000000
	mc_x=rand(samplenum,1)
	mc_y=rand(samplenum,1)

## titanicSubmit
{
 "metadata": {
  "language": "Julia",
  "name": "",
  "signature": "sha256:999e48e1cfeb072e56d4089a89783a9483f6c014acc704990d74ba7079a57434"
 },
 "nbformat": 3,
 "nbformat_minor": 0,
 "worksheets": [
  {

## titanicAnalysis
{
 "metadata": {
  "language": "Julia",
  "name": "",
  "signature": "sha256:6394928c631f491d9b3776e1af071144d00c1446e0ec4d032c094af7b3d8edd6"
 },
 "nbformat": 3,
 "nbformat_minor": 0,
 "worksheets": [
  {

## julia2048_basic.jl
const ContinueGame=999
const WinGame=777
const LoseGame=444
const QuitGame=-99


function move(line,direction)
	lineLen=length(line)

	nonZeroLine=line[line.>0]

## .gitignore
# Compiled source #
###################
*.com
*.class
*.dll
*.exe
*.o
*.so

# Packages #
	"""
	Reference:
	1. https://gist.github.com/ycopin/3342888
	2. http://matplotlib.org/mpl_toolkits/axes_grid/users/overview.html#axisartist

	"""

	import numpy as np
	import matplotlib.pyplot as plt
	{
	"cells": [
	{
	"cell_type": "code",
	"execution_count": 48,
	"metadata": {
	"collapsed": true
	},
	"outputs": [],
	"source": [
	# Calculate Pi using monte carlo method

	function estimate_pi_vec()
	# Vectorized way of calculating Pi
	# This style is commonly seen in python or Matlab/Octave to avoid for loops

	samplenum=100000000
	mc_x=rand(samplenum,1)
	mc_y=rand(samplenum,1)
	{
	"metadata": {
	"language": "Julia",
	"name": "",
	"signature": "sha256:999e48e1cfeb072e56d4089a89783a9483f6c014acc704990d74ba7079a57434"
	},
	"nbformat": 3,
	"nbformat_minor": 0,
	"worksheets": [
	{
	const ContinueGame=999
	const WinGame=777
	const LoseGame=444
	const QuitGame=-99


	function move(line,direction)
	lineLen=length(line)

	nonZeroLine=line[line.>0]
	# Compiled source #
	###################
	*.com
	*.class
	*.dll
	*.exe
	*.o
	*.so

	# Packages #