Juan-Pablo Velez jpvelez

## parser.py
def add_token(ast, token):
    if token != "":
      ast.append(token)
    return ast, ""

def parse_list(code, i):
  ast = []
  current_token = ""
  while i < len(code):
    char = code[i]

## parser.py
def add_token(ast, token):
    if token != "":
      ast.append(token)
    return ast, ""

def parse_list(code, i):
  ast = []
  current_token = ""
  while i < len(code):
    char = code[i]

## keybase.md

      
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                jpvelez
                / keybase.md
            
            
              Last active
              August 29, 2015 14:01
            
              
                keybase.md
              
          
    Keybase proof

I hereby claim:

I am jpvelez on github.
I am jpvelez (https://keybase.io/jpvelez) on keybase.
I have a public key whose fingerprint is 2BA5 76B4 B7F4 CF96 A09D  0817 A188 A0D1 B7A5 BDB4

To claim this, I am signing this object:

  
## boostrap.sh
# Navigate to home folder
cd ~

# Install homesick
sudo gem install homesick

# Download dotfiles repo
homesick clone git://github.com/jpvelez/dotfiles.git
# git clone https://github.com/jpvelez/dotfiles.git

## plot_guassian.py
#!/usr/bin/python

'''
Plot a normally distributed random variable - and samples of this process - using scipy's univariate probability distributions.
'''

from scipy.stats import norm
import matplotlib.pyplot as plt
import pandas as pd

## intro_r_tutorial.md

      
              2 files
            
          
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                jpvelez
                / intro_r_tutorial.md
            
            
              Created
              August 8, 2012 20:15
            
              
                Intro to R Tutorial
              
          
    WHAT IS THIS?

This is a step-by-step tutorial for getting started with R, a powerful programming language for data analysis and
visualization. It is aimed at near complete beginners. You'll basically want to be comfortable with spreadsheets and with
using your computer's command line.
I slapped this together quickly, so expect some weirdness. Feel free to email me with comments or questions at
jpvelez | at | gmail.com
I learned the following stuff using the UCLA Statistic's Department great R tutorials, so check those out:

  
## git_cheat_sheet.txt
COMMANDS

git init - initiates local git repo
git add file.txt - add file
git add . - add new or changed files. doesn't add removed files.
git add -A - add new, changed, and removed files
git commit -m "added juan to hello message" - commit files that you added above
git commit -am "msg" - add and commit simultaneously
git status - what's changed since my last commit (compares files in wd with repo)
git diff <file> - shows you how a file has change
	def add_token(ast, token):
	if token != "":
	ast.append(token)
	return ast, ""

	def parse_list(code, i):
	ast = []
	current_token = ""
	while i < len(code):
	char = code[i]
	# Navigate to home folder
	cd ~

	# Install homesick
	sudo gem install homesick

	# Download dotfiles repo
	homesick clone git://github.com/jpvelez/dotfiles.git
	# git clone https://github.com/jpvelez/dotfiles.git
	#!/usr/bin/python

	'''
	Plot a normally distributed random variable - and samples of this process - using scipy's univariate probability distributions.
	'''

	from scipy.stats import norm
	import matplotlib.pyplot as plt
	import pandas as pd
	COMMANDS

	git init - initiates local git repo
	git add file.txt - add file
	git add . - add new or changed files. doesn't add removed files.
	git add -A - add new, changed, and removed files
	git commit -m "added juan to hello message" - commit files that you added above
	git commit -am "msg" - add and commit simultaneously
	git status - what's changed since my last commit (compares files in wd with repo)
	git diff <file> - shows you how a file has change