koverholt

import vertexai

from vertexai.generative_models import (
    FunctionDeclaration,
    GenerationConfig,
    GenerativeModel,
    Part,
    Tool,
)
from datetime import datetime

koverholt

import json
import requests
import xmltodict
import pandas as pd

# SOAP URL, payload, and headers

url = "https://hydrometdata.lcra.org/service.asmx"

payload = """<?xml version="1.0" encoding="utf-8"?>

koverholt

import os

def find_second(string, substring):
   return string.find(substring, string.find(substring) + 1)

for root, dirs, files in os.walk("."):
    for file in files:
        if file.endswith(".md"):
            old_path = os.path.join(root, file)
            second_location = find_second(file, "--")

koverholt

import os

buff = []

for root, dirs, files in os.walk("."):
    for file in files:
        if file.endswith(".md"):
            path = os.path.join(root, file)
            with open(path, "r") as f:
                print(path)

koverholt

with open("export.md", "r") as f:
    buff = []
    i = 1
    for line in f:
        if line.strip() and line.strip() != "---":
            buff.append(line)

        # Preserve newlines in file
        if not line.strip():
            buff.append("\n")

koverholt

Webinar - Hassle Free Data Science Apps - http://go.continuum.io/hassle-free-data-science-apps/

Bokeh Gallery - http://bokeh.pydata.org/en/latest/docs/gallery.html
Bokeh Demo Applications - http://demo.bokehplots.com/

Juputer Dynamic Dashboards - https://github.com/jupyter-incubator/dashboards
Ongoing work towards interactive widgets in JupyterLab, including PhosphorJS - https://github.com/jupyter/roadmap

koverholt

#!/usr/bin/env python

"""
Display the per-commit size of a file in a git repository.

$ python counter.py setup.py
82e2452, 2016-02-23T23:57:25-05:00, 14 lines
94e26ae, 2016-02-24T12:01:39-06:00, 15 lines
26e51c5, 2016-03-07T13:35:19-06:00, 19 lines
fed0eb8, 2016-03-15T15:03:36-05:00, 18 lines

koverholt

ssh-rsa AAAAB3NzaC1yc2EAAAADAQABAAABAQCyFPmr8gxiYTmuD+sFiQZofVII0xW1xBYY+SWEKU9vGOmSZeH/LFpLAouKPOh/3Rmutc67r27YwZ90GpMcw0flDwwpFUkb9ETgiULw4tysoIT119NklhVMuxhbgAgI9a9rTmsvYM5qDDYhiCef19xEFhKUitbp0WOF9idnV+OyvqfA7eudO80gqmwyiO7HWhaW5NmX4c4t95953sjq65CBFuyybC1lK5P6Nn+bEOo8KmldX3Cjmhxt69ZJu3tZRxAtqv5hw0abbD4Ou7BmsTSdRrp2JUQcS83s1YuRW5eFpqyl55rwbBaxYwtq0CHYGI/ismN9BdNHDBwv0jDbASPj koverholt@continuum

koverholt

import numpy as np
 
from pyspark import SparkContext
from pyspark import SparkConf
 
conf = SparkConf()
conf.setMaster("spark://<HOSTNAME>:7077")
conf.setAppName("NumpyMult")
sc = SparkContext(conf=conf)
 

koverholt

from pyspark import SparkContext
from pyspark import SparkConf

if __name__ == "__main__":
    conf = SparkConf()
    conf.setMaster("spark://{hostname}:7077")
    conf.setAppName("WordCount")
    sc = SparkContext(conf=conf)

file = sc.textFile("/mnt/gluster/pg2591.txt")