Principal Engineer - using Python, AWS, Data Science, and a multitude of Geospatial tools
- Atlanta, GA
- https://www.linkedin.com/in/rajpardasani/
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Retrieves OpenStreetMap layers, spli...
Retrieves OpenStreetMap layers, splits by category, and generates geopackages 1## Retrieves OpenStreetMap layers within specified bounding points2## Splits the data by layer type and category3## Generates geopackages to be placed in the specified output directory45import osmnx as ox
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Cache dataframes to a Redis server
Cache dataframes to a Redis server 1## Cache dataframes to a Redis server using a 'unitcode' (or identifier) column in combination with a timestamp. Use the pendulum start of the hour.23from timeit import default_timer
4import pandas as pd
5import redis
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Function to create a SQL table from ...
Function to create a SQL table from a parquet file 1## Create a SQL table from the given parquet file23import os
4import pandas as pd
5import pymssql
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Simple linear regression exercise us...
Simple linear regression exercise using real estate data - Udemy course 1## Udemy course simple linear regression exercise2## Jupyter notebook3## Real estate data with dependent variable - 'price' and independent variabe - 'size'45import numpy as np
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Multiple linear regression exercise ...
Multiple linear regression exercise using real estate data - Udemy course 1## Udemy course multiple linear regression exercise2## Jupyter notebook3## Real estate data4## dependent variable is 'price'5## independent variabes are 'size' and 'year'
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