My first contact with code was—like for a lot of people belonging to my generation—with BASIC on a CRT TV screen loading files from a tape recorder. Then I learned C and the great magical world of Objects with Java. But I was a bit upset by its growing complexity and the need to write a bunch of useless code.
After spending some time working more on Excel spreadsheets than coding, the simplicity of Python gives me a fresh wind and now I use it for almost everything. One of those things is data science and I’ve played—and also worked—a lot with its data ecosystem centered around pandas in Jupyter notebooks. I have also worked with its friend and competitor R and I must confess that, after a first disappointing experience, I come back to R with a great enthusiasm thanks to the awesome work done on the Tidyverse by one of the data science superhero Hadley Wickham. After Batman vs. Superman this is Hadley vs. Wes McKinney.
I must be nostalgic since I love old languages and systems, and all these old stories of pioneers—I have a great list of books on that topic. I’m also a big fan of plain text and the various editors dedicated to this simple but fundamental purpose. Obviously I love Markdown, I use it as much as I can.
- Hadoop & Spark,
- Kubernetes & Docker,
- Jupyter & RStudio,
- Python & R,
- Linux & open source.
I’m a book lover and I have a blog (in french) dedicated to my readings.