We take a look at the different skills you’ll need to have to work on different types of data science projects.
Quantum computing is a fantastical, fascinating, disruptive area that breaks down the classic paradigms of computing. See more details of quantum supremacy.
We take a look at how to analyze and visualize metadata stored in XML files using some open source big data tools, such as HDFS, Hive, and GnuPlot.
A discussion of some of the basics of graph theory and how to apply this theory in code using Scala and the Spark framework.
Writing a Curriculum Vitae in Latex with LyX, using the moderncv template.
Building a small banking application using clojure with REST-API.
Installing Clojure on FreeBSD and playing with the alien dialect.
A tutorial on writing MatLab-like functions using the Python language and the NumPy library.
Using MATLAB with PostgreSQL database using PostGIS module to read data from the route of an aircraft.
How to compile the Linux Slackware 14.2 kernel in just three steps.
Tips using C++17 / C++1z.
C++ using (mutex) critical section in your application.
Developing a simple two-way socket using C++ and Qt.
Improving compilation performance in C++.
Improving performance on FreeBSD.
Simple tips for installing FreeBSD in a virtual machine.