I worked full-time in the computer industry for over 40 years. Even though I no longer have a job in the industry, I still find computer technology as fascinating as it was when I went into the business and I like to keep up with modern trends and developments.
In a series of posts under the title “Technology Interpreter” I describe how I have learned the basics of modern technologies like data science, super computing, and containers. These are not detailed descriptions or tutorials, but rather overview descriptions, a list of the tools and resources I used to educate myself on the topics, and examples of how the technologies are used.
I graduated from UCLA with a master’s degree in mathematics. I spent most of my career as a software engineer working on operating systems and device support software. Along the way I have learned and used many programming languages, with a heavy emphasis on IBM Assembler and C. These days the languages I know and use are R and Python.
Knowing Python ends up being really useful, since most books and online tutorials about computing use Python as a teaching language.