mamonu

Project Management

In my optimization class last semester we briefly talked about project management, where there is a set of activities with given durations and some activities need to be completed before other activities can begin. We were taught to explore the management of the project’s timeline in Excel, which was tedious and prone to errors due to its manual process.

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mamonu

/*
This example uses Scala.  Please see the MLlib documentation for a Java example.

Try running this code in the Spark shell.  It may produce different topics each time (since LDA includes some randomization), but it should give topics similar to those listed above.

This example is paired with a blog post on LDA in Spark: http://databricks.com/blog
Spark: http://spark.apache.org/

also use.....
https://github.com/databricks/spark-csv

mamonu

Using Git

Global Settings

Related Setup: https://gist.github.com/hofmannsven/6814278

Related Pro Tips: https://ochronus.com/git-tips-from-the-trenches/

mamonu

This gist explains how a graph database can help for HR analytics. There are two files included:
- load the data.cql: this file contains the cypher statements that load the data into neo4j
- query the data.cql: this file has some sample queries that serve to demonstrate some of the concepts.
Hope this is useful.

Rik

mamonu

from bitarray import bitarray
import mmh3

class BloomFilter:
    
    def __init__(self, size, hash_count):
        self.size = size
        self.hash_count = hash_count
        self.bit_array = bitarray(size)
        self.bit_array.setall(0)

mamonu

from pyspark import SparkContext
from pyspark.sql import SQLContext
from pyspark.sql.types import *
from IPython.display import display

sc = SparkContext(appName="CarCSV")
sqlContext = SQLContext(sc)

schema = StructType([StructField("year", IntegerType(), False),
                     StructField("make", StringType(), False),