Processing Today Businesses today rely on data processing to build business intelligence, reporting, and transactional information. Common tasks involve capturing raw data files from other business or from departments within the same business. Data processing is handled with a variety
I purchased a Corsair keyboard because I was having a hard time finding a professional keyboard outside of the “gaming” market. The market seems to lump quality keyboards into “gaming” and “other” where “other” was mostly missing the mark for
This article and content is about source code that is published on GitHub. VIEW THIS CONTENT AND SOURCE CODE ON GITHUB Audience The intended audience for this article is Microsoft .Net framework software developers and coders wanting to learn how
SQLite and Python 3.6 are fast enough for me on many projects. However, I was curious just how fast I could process, and insert, a large number of records into a SQLite database using Python. So lets start with the
NOSql solutions (object databases, graph databases, document databases, column store etc. ) have been around for several years becoming mature and stable. I’m discovering many NoSQL solutions I tried early in the trend; years ago, are now defunct. One first
I have published a new project to GitHub. This is a web based version of the existing TKinter desktop address book. Address Book on GitHub. The general idea is a stand-alone browser based version that runs on CherryPy and Python
I am pleased to announce that I have published another release for my address book application. Please see Addressbook 1.0.1
While you are here please visit my latest project: Addressbook 188.8.131.52 a Python 3.4 based desktop application developed on Linux.