Categories
Databases Programming

How to export CSV file to database with Python

Pandas and SQLAlchemy offer powerful conversions between CSV files and tables in databases. Here is a small example: import pandas as pd from sqlalchemy import create_engine   df = pd.read_csv(’mydata.csv’)   engine = create_engine(’sqlite:///mydata.db’) df.to_sql(’mytable’, engine)import pandas as pd from sqlalchemy import create_engine df = pd.read_csv(‘mydata.csv’) engine = create_engine(‘sqlite:///mydata.db’) df.to_sql(‘mytable’, engine) Read more: pandas.DataFrame.to_sql sqlalchemy […]

Categories
Databases Spatial stuff

How to work with spatial data in Amazon Redshift

While Redshift does not offer native support for spatial data, indexes and functions, there exists a partial workaround. Redshift supports Python UDFs and can also load custom Python libraries. Out of the box, Redshift has numpy, scipy, pandas and many other useful Python libraries. For spatial functionality, one saving grace is the high quality spatial […]

Categories
Databases

How to compute Fibonacci sequence in SQL

Inspired and simplified from a set of slides on using RDBMS for storing, managing, and querying graphs: WITH recursive fib(i,j) AS ( SELECT 0,1 UNION ALL SELECT j, i+j FROM fib WHERE j<1000 ) SELECT i FROM fibwith recursive fib(i,j) as ( select 0,1 union all select j, i+j from fib where j<1000 ) select […]