dtro-devuk Knowledge Base
A curated list of helpful material on some of my Development Stack
Trending Tech Knowledge Base 2017
| Title | Author | Version | Group | Sub-Levels |
|---|---|---|---|---|
| Trending Tech Knowledge Base Page | dtro-devuk | 1.0 | Root | 0 |
Languages and Frameworks you should learn!
- Language Frameworks and Tools for 2017
- 15 Interesting JavaScript and CSS Libraries for December 2016
- 15 Interesting JavaScript and CSS Libraries for November 2016
App Growth
Progressive Web Apps (PWA)
2016 saw the rise of Progressive Web Apps, i.e. web apps that work offline and offer a native app-like experience. Add them to your smart devices homescreen, and send push notifications, bridging the gap with native mobile apps.
Languages
Angular and TypeScript to grow in 2017. Other emerging languages-frameworks-tools-you-should-learn-in-2017/
View JS
Backend
Node JS
Databases
Tools
Yarn (facebook)
An alternative package manager for NodeJs to npm, developed ny Facebook. Upgrade over npm with faster installs, better security and deterministic builds. Still uses npm package registry as its backend. Compatible with packages.json and quick to install.
Git
GitHub Markdown
ZenHub
ZenHub is a powerful GitHub issue tracker for fast-moving teams:
- Turn GitHub into a robust project management platform
- How NASA JPL modernised their development workflow
- Pricing
Electron
NW.js
DevOps
Becoming increasingly popular, basically devs that can also do infrastructure. Quicker Release and Faster Issues Fixing in Production. Helped by Tools such as:
Bots
Bots are the new mobile apps.
Chat Bots
Facebook Messenger
Cloud
Cloud is seeing large companies closing down their datacenters and moving there infrastructure there. The main 3 platforms are listed below:
- AWS
- [Azure] (https://azure.microsoft.com/en-us/)
- Google Cloud
Azure
*
AWS
Machine Learning (ML)
Machine Learning (ML) has exploded in popularity during the last twelve months. And with the historic AlphaGo vs Lee Sedol match in March, it entered the mainstream. Smart computer systems that learn from raw data are revolutionizing the way we interact with our mobile devices. By the looks of it, ML will be an even bigger factor in 2017.
Artificial Intelligence (AI)
Speech recognition and image classification are only two of the user facing applications of the technology, with machines reaching and even surpassing human level performance.
A lot of Startups apply AI and ML, to new domains. A lot of Open-source projects have been released:
A very maths-centric, intensive topic, so courses are required:
Virtual Reality (VR)
Augmented Reality (AR)
Superimposed images and tools on top of Phone Cameras. Can be used for Gamification, Measuring, Proximity Marketing.