https://www.youtube.com/watch?v=QGUpXsTyyqY

Aaron Krauss talks about Neo4j and how to use it with Python. EVENT: OKC Python 2019 SPEAKER: Aaron Krauss PERMISSIONS: Techlahoma Events Organizer provided Coding Tech with the permission to republish this video. CREDITS: Original video source: https://www.youtube.com/watch?v=djNJd1U2VR0 https://www.youtube.com/watch?v=QGUpXsTyyqY

https://www.youtube.com/watch?v=VrpG8a_yVb4

The memes have not been kind to CSS over the years. Remember the gif of Peter Griffin fighting with the blinds, captioned "CSS"? It has a reputation of being unwieldy and hard to use. But how much of that is still true today? Things like preprocessors have helped to hide some of the unpleasantries of CSS and APIs like flexbox, grid, and Houdini have come a long way to help make development easier. PERMISSIONS: Original video was published with the Creative Commons Attribution license (reuse allowed). CREDITS: Original video source: https://www.youtube.com/watch?v=3LxyRuZxs2w https://www.youtube.com/watch?v=VrpG8a_yVb4

https://www.youtube.com/watch?v=rF-oGg7SjTM

Jakub Urban, a senior Pythonista from Quantlane with rich experience in scientific computing and modelling, will show various possibilities for making your (mostly) numerical calculations in Python fast. He will cover optimization and parallelization using Numpy, Numba, Cython or Dask. You will learn that Python can be as fast as Fortran with a very little effort. In case it cannot, you will see how to seamlessly turn Fortran/C/C++ into a Python module. EVENT: PyData Prague, January 2019 SPEAKER: Jakub Urban PERMISSIONS: PyData Organizer provided Coding Tech with the permission to republish this video. CREDITS: PyData YouTube channel: https://www.youtube.com/channel/UCOjD18EJYcsBog4IozkF_7w https://www.youtube.com/watch?v=rF-oGg7SjTM