I’m afraid that my other duties have made it impossible for me to keep doing DTV. This site will remain, but it won’t be updated in the near future.
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(Note: The actual talk starts at 5:30, after some announcement.)
Back in college, I had to take some introductory courses in electronics and electrical engineering. I was confused by what I was learning — and ever since, electronics have seemed like a cross between magic and a mystery to me. I’m not sure whether it’s good news or bad, but a large number of other software developers seem to feel the same way as I do. But of course, it would be really nice to know how our computers work, and what the basic principles are of the electronics within. In this talk, Dror Helper comes to the rescue, offering a crash course in electronics for people with a software background. He starts from the beginning, describing such concepts as voltage, resistance, and current, and quickly moves onto more advanced topics.
Is your Web application is getting a bit big and bulky on a single server? You might be thinking of moving to a more distributed, microservice-based architecture. And in many cases, that’s a great way to go about things. But microservices aren’t a panacea, having their own issues and pain points. What are the trade-offs associated with a microservice-based architecture? How do you define the dependencies (code and API) between the different services? And how can you avoid a “distributed monolith” — a situation in which you have many microservices that are dependent on one another? In this talk, Ben Christensen describes the different ways to think about such microservice- systems, and how to avoid some of the more common pitfalls.
The civil war currently taking place in Syria has cost many lives, and has created a huge number of refugees. Many of these refugees are now living in a refugee camp at Za’atari, in neighboring Jordan. Under circumstances that range from difficult to grave, is it reasonable to think that young people can get an education, let alone a technical education that’ll enable them to create high-tech devices and applications? In this talk, Karen E. Fisher and Katya Yefimova describe their efforts to do just that — teaching, facilitating, and encouraging these young refugees to create new things, to collaborate with their peers, and to create things that can help themselves and others.
A growing number of organizations are using containers, such as docker, to deploy applications and parts of their infrastructure. How well do contains work with a database such as PostgreSQL? What do we need to know about installing, configuring, and deploying PostgreSQL in this way, and what mistakes should we aim to avoid? In this talk, Jignesh Shah shares his experiences combining PostgreSQL with Docker. He describes the reasons why it’s useful to work in this way, and how we can deploy and then monitor our PostgreSQL instances in a number of ways.
One of the growth areas for Python over the last few years has been in the area of data science: Tools such as Jupyter (aka “IPython Notebook“), along with NumPy and Pandas, have made Python one of the main languages that people use when doing data science. But how does a data scientist use Jupyter? How does a data-science firm use it to promote collaboration and exploration? And where are notebooks note less preferable than traditional Python modules? In this talk, Brian Lange provides a high-level overview of where and how Jupyter notebooks are used in his data-science firm, discussing their relative advantages and disadvantages in consulting and training.