I teach a Novetta “Intro to Python” class, and one evening as we were wrapping up, the students and I got into a discussion about my teaching style compared to the other instructor, who was a man. “Will is more matter-of-fact,” a student said, “And your style is more nurturing.” The student meant no harm with his comment, but I took issue with the term nurturing. I associated that word with someone who was soft, a pushover who couldn’t make tough decisions. I think of myself as a technical leader, someone who works to find an answer for every challenge…
Novetta PyShops – Your Monthly Slice of Py
Novettans like a challenge. Sometimes, that means learning something entirely new. Other times, it means we’re brushing up on our skills. One of the ways we do this is through our PyShops, a series of workshops aimed at teaching people with technological backgrounds, or people with no technological experience, how to use Python. When asked what Python is, Dave Roberts, Computer Scientist at Novetta, told me the programming language “places a heavy emphasis on human readability and usability…it’s super friendly for beginners, but is also extraordinarily powerful.” Python can be found in everything from streaming services to popular video games….
2019 PyCon
Visit Novetta Subject Matter Experts in Booth #625 Participate in CTF Learn more about our advanced analytics software and services Ask about current job opportunities Novetta is a Gold Sponsor of PyCon 2019 – the largest annual gathering for the community using and developing the open-source Python programming language. It is produced and underwritten by the Python Software Foundation, the 501(c)(3) nonprofit organization dedicated to advancing and promoting Python. Through PyCon, the PSF advances its mission of growing the international community of Python programmers. Tutorial Days – May 1-2, 2019 Learn something new and relevant in intensive 3-hour sessions. The evenings are free for socializing and Open Spaces….
Data Munging and Exploration
Getting to know your data and forming sound hypotheses This second post in the Predictive Analytics series will cover data munging and exploration. For the steps that come before the data, see the first post – Predictive Analytics for Intelligence. Here I’ll suggest tools and techniques to consider when acquiring and exploring the data relevant to your analytical questions. For the most part I’ll assume that you have access to the data, and that there are features within it that are “interesting” (and I’ll define what I mean by that along the way). Data Forms One of the main failings…
