Create a Python Module

Sometime formal programming documentation is less than clear. At least, it’s less than clear until you’ve written your first solution. The Modules section of the Python language is one of those that takes a few moments to digest.

Chapters 22 and 23 in Learning Python gives some additional details but not a clear step-by-step approach to implementing Python modules. This post is designed to present the steps to write, import, and call a Python module. (more...)

Python for loops

It’s always interesting to explain a new programming language to students. Python does presents some challenges to that learning process. I think for loop can be a bit of a challenge until you understand them. Many students are most familiar with the traditional for loop like Java:

for (i = 0; i < 5; i++) { ... }

Python supports three types of for loops – a range for loop, a (more...)

Install cx_Oracle for Python

This shows you how to install the cx_Oracle library for Python 2.7 on Fedora Linux. If Fedora has it on the server you can download it with the following yum command:

yum install -y cx_Oracle-5.2.1-11g-py27-1.x86_64.rpm

Currently, you’ll get the following failure because it’s not available in the Fedora repository:

Loaded plugins: langpacks, refresh-packagekit
mysql-connectors-community                                      | 2.5 kB  00:00:00     
mysql-tools-community                                           | 2.5 kB  00:00:00     
mysql56-community                                               | 2.5  (more...)

Fabric … Simple #GoldenGate Administration over SSH


For awhile now, I’ve been looking at different approaches for automating some of my GoldenGate monitor tasks. Yes, there are tools out there that provide a wide variety of ways for interaction and monitoring of Oracle GoldenGate. However, the problem with Oracle GoldenGate is that you have at least two parts of the equation when interacting or monitoring an environment, i.e. source and target. If you are so lucky to have a multi-master (more...)

A Neural Network Scoring Engine in PL/SQL

Topic: In this post, you will find an example of how to build and deploy a basic artificial neural network scoring engine using PL/SQL for recognizing handwritten digits. This post is intended for learning purposes, in particular for Oracle practitioners who want a hands-on introduction to neural networks.


Machine learning and neural networks in particular, are currently hot topics in data processing. Many tools and platform are now easily available to work and experiment  (more...)

Changing SOA properties via WLST

Hereby a script to change some properties for SOA Suite. These are some generic settings such as:

  • soa-infra
  • AuditLevelGlobalTxMaxRetry
  • DisableCompositeSensors
  • DisableSpringSESensors
  • mediator
  • AuditLevel
  • bpel
  • AuditLevel
  • SyncMaxWaitTime
  • Recovery Schedule Config
import java.util.HashMap;
import java.util.Map;
import java.util.Set;
import (more...)

Rename multiple exported Files after using SQL Developer’s Cart to export from Oracle database

If you’re searching for “export Oracle BLOB”, the article, by Jeff Smith, titled “Exporting Multiple BLOBs with Oracle SQL Developer” using Oracle SQL Developer” is usually at the top of the search result. The SQL Developer features the Shopping Cart without using scripts to export BLOBs out of database. I don’t want to go into detail as Jeff already explained well in his post what it is and how to use it. One (more...)

Multisessioning with Python

I'll admit that I pretty constantly have at least one window either open into SQL*Plus or at the command line ready to run a deployment script through it. But there's time when it is worth taking a step beyond.

One problem with the architecture of most SQL clients is they connect to a database, send off a SQL statement and do nothing until the database responds back with an answer. That's a great model when (more...)

Wanted: RDBMS superpower summary for app developers

At last night's WWCode Cincinnati panel, I recommended that developers talk to their DBA about what advanced capabilities their RDBMS can offer, so that they don't end up reimplementing functionality in the app that are already available (better and more efficiently) in the database itself. Devs can waste a lot of effort by thinking of databases as dumb, inert data boxes.

I was asked an excellent question: "Where can a dev quickly familiarize herself with (more...)

IoT Hackathon Part IV : Using Web Services to send Sensordata

In the previous 3 posts, building towards the eProseed IoT Hackathon, I described how to setup your Raspberry Pi, and how to use the GrovePi sensors. The used example is a small weather-station that read temperature and humidity and shows the readings on a display. That is all very nice, however, the data remains local on the Raspberry Pi so there is nothing that we can do with this information

Code Studio rocks; diversity does, too

If you want to quickly get some kids introduced to computer programming concepts, you could do a lot worse than using Code Studiofrom That's what I did the last couple weeks - took two hours to lightly shepherd the Dayton YWCA day camp through a programming intro.

It's really well-organized and easy to understand - frankly, it pretty much drives itself. It's based on block-dragging for turtle graphics and/or simple 2D games, (more...)

Generating Diceware Passwords in Python

Today I’m going back to a theme from a post last year and looking at generating passwords with my favourite programming language. A tweet from Simon Brunning pointed me to Micah Lee’s article at The Intercept and my first thought was to write a function to do this in Python. So here it is;

def generate_diceware_password(word_count=6):
    import random
    word_dict = {}
    passphrase = []
    with open('diceware.wordlist.andy.txt') as f:
        for line in f. (more...)


I've never had a tool I really liked that would extract a chunk of a large production database for testing purposes while respecting the database's foreign keys. This past week I finally got to write one: rdbms-subsetter.

rdbms-subsetter postgresql://user:passwd@host/source_db postgresql://user:passwd@host/excerpted_db 0.001

Getting it to respect referential integrity "upward" - guaranteeing every needed parent record would be included for each child row - took less than a day. Trying to get it to also guarantee (more...)

%sql: To Pandas and Back

A Pandas DataFrame has a nice to_sql(table_name, sqlalchemy_engine) method that saves itself to a database.

The only trouble is that coming up with the SQLAlchemy Engine object is a little bit of a pain, and if you're using the IPython %sql magic, your %sql session already has an SQLAlchemy engine anyway. So I created a bogus PERSIST pseudo-SQL command that simply calls to_sql with the open database connection:

%sql PERSIST mydataframe

The result is (more...)

auto-generate SQLAlchemy models

PyOhio gave my lightning talk on ddlgenerator a warm reception, and Brandon Lorenz got me thinking, and PyOhio sprints filled my with py-drenaline, and now ddlgenerator can inspect your data and spit out SQLAlchemy model definitions for you:

$ cat merovingians.yaml
name: Clovis I
from: 486
to: 511
name: Childebert I
from: 511
to: 558
$ ddlgenerator --inserts sqlalchemy merovingians.yaml

from sqlalchemy import create_engine, Column, Integer, Table, Unicode
engine (more...)


Yesterday was my first day at 18F!

What is 18F? We're a small, little-known government organization that works outside the usual channels to accomplish special projects. It involves black outfits and a lot of martial arts.

Kidding! Sort of. 18F is a new agency within the GSA that does citizen-focused work for other parts of the U.S. Government, working small, quick projects to make information more accessible. We're using all the tricks: small teams, (more...)


I've had it on github for a while, but I finally released ddlgenerator to PyPI.

I've been frustrated for years that there was no good open-source way to set up RDBMS tables from flat data files. Sure, you could import the data - after setting up the DDL by hand. ddlgenerator handles that; in fact, you can go from zero, setting up and populating a table in a single line. Nothing up my sleeve:

$ (more...)


I went down a refactoring rabbit hole on ddl-generator and ended up pulling out the portion that pulls in data from various file formats. Perhaps it will be useful to others.

>>> from data_dispenser.sources import Source
>>> for row in Source('animals.csv'):
... print(row)
OrderedDict([('name', 'Alfred'), ('species', 'wart hog'), ('kg', '22'), ('notes', 'loves turnips')])
OrderedDict([('name', 'Gertrude'), ('species', 'polar bear'), ('kg', '312.7'), ('notes', 'deep thinker')])
OrderedDict([('name', 'Emily'), ('species', 'salamander'), ('kg', '0.3'), ('notes', '')])

Basically, (more...)

G+ Public Hangout Fail

tl;dr:Do not use public Google+ Hangouts under any circumstances, because people suck.

Before the PyCon 2014 CFP came due, PyLadies hosted several G+ hangouts for talk proposal brainstorming. Potential speakers could talk over and flesh out their ideas with each other, producing better talk proposals. More importantly, it was a nice psychological stepping stone on the way to filling out that big, scary CFP form all alone. I thought they went great.

I wanted (more...)

start python learning with "Introduction to Python"

Python is programming language, that supports object-oriented, imperative and functional programming. The key is its simplicity, easy language to learn and easy moving code from development to production more quickly. It's power tool to use with Big Data. So, I believe it's a good time to learn about Python programming language.
You can find many resources about it on the Internet. I started to learn about Python by watching "Introduction to Python" By Jessica McKellar. (more...)