(by @andrestaltz)
If you prefer to watch video tutorials with live-coding, then check out this series I recorded with the same contents as in this article: Egghead.io - Introduction to Reactive Programming.
(by @andrestaltz)
If you prefer to watch video tutorials with live-coding, then check out this series I recorded with the same contents as in this article: Egghead.io - Introduction to Reactive Programming.
| .ipynb_checkpoints/ |
Memory Optimization (Christer Ericson, GDC 2003)
http://realtimecollisiondetection.net/pubs/GDC03_Ericson_Memory_Optimization.ppt
Cache coherency primer (Fabian Giesen)
https://fgiesen.wordpress.com/2014/07/07/cache-coherency/
Code Clinic 2015: How to Write Code the Compiler Can Actually Optimize (Mike Acton)
http://gdcvault.com/play/1021866/Code-Clinic-2015-How-to
<<YOUR_URL_HERE>> in docker-compose.yml and <<YOUR_PROJECT_NAME_HERE>> in update.sh../update.sh.From this point onward, you just run ./update.sh whenever you want to update your docker image. Alternatively, you can put the update script in a cron job, and update it however often you want.
A quick guide on how to setup Node.js development environment.
nvm allows installing several versions of Node.js to the same system. Sometimes applications require a certain versions of Node.js to work. Having the flexibility of using specific versions can help.
by Bjørn Friese
Beautiful is better than ugly. Explicit is better than implicit.
I frequently deal with collections of things in the programs I write. Collections of droids, jedis, planets, lightsabers, starfighters, etc. When programming in Python, these collections of things are usually represented as lists, sets and dictionaries. Oftentimes, what I want to do with collections is to transform them in various ways. Comprehensions is a powerful syntax for doing just that. I use them extensively, and it's one of the things that keep me coming back to Python. Let me show you a few examples of the incredible usefulness of comprehensions.
| /* Routine for real variable SBX crossover taken from the author's implementation (Kalyanmoy Deb). | |
| * | |
| * Paper describing the algorithm: | |
| * Title: An Efficient Constraint Handling Method for Genetic Algorithms | |
| * Author: Kalyanmoy Deb | |
| * More info: Appendix A. Page 30. | |
| * URL: http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.33.7291&rep=rep1&type=pdf | |
| * | |
| * Commentaries by Tiago Peres França. | |
| * |
This is about documenting getting Linux running on the late 2016 and mid 2017 MPB's; the focus is mostly on the MacBookPro13,3 and MacBookPro14,3 (15inch models), but I try to make it relevant and provide information for MacBookPro13,1, MacBookPro13,2, MacBookPro14,1, and MacBookPro14,2 (13inch models) too. I'm currently using Fedora 27, but most the things should be valid for other recent distros even if the details differ. The kernel version is 4.14.x (after latest update).
The state of linux on the MBP (with particular focus on MacBookPro13,2) is also being tracked on https://github.com/Dunedan/mbp-2016-linux . And for Ubuntu users there are a couple tutorials (here and here) focused on that distro and the MacBook.
Note: For those who have followed these instructions ealier, and in particular for those who have had problems with the custom DSDT, modifying the DSDT is not necessary anymore - se
This is for an update to the the SpatioTemporal Task View.
If you have any other suggestions, please leave a comment below - or raise an issue here: https://github.com/mdsumner/ctv-mdsumner/issues (or just email/tweet me).
(This is not the final presentation format).