Without a doubt my beloved Python is the Lingua Franca for machine learning these days. Tons of create tools by Google, Facebook and other big players make it easy to learn about machine learning. All offer a great Python API. At Amazon you find 200+ books teaching you stuff about machine learning using Python. A lot of material to choose from. And from my point of view, also a lot of material to fail with. Let me recommend two books I find particularly helpful, when you want to learn something about these fascinating fields and start to dive into one of the hottest topics in tech at the moment.
Sorry, this time it will be a posting in German. We are all struggling to comply with GDPR or DSGVO as we call it in Germany. But as I am mostly linking to german resources, I decided to write the whole post in German.
andrich.blog benutzt WordPress und langsam rückte der 28.5. immer näher, so dass ich mir überlegen musste, wie ich mit dem Blog weiter verfahren wollte. Die Panik-Mache in meiner Filter-Bubble war groß. Mancherorts sah man schon den Untergang der Blogger-Szene in Deutschland voraus.
Für einen kurzen Moment ergriff mich auch die Panik. Schliesslich ist das hier ein low-volume Blog, dass hin und wieder ein Update erfährt. Also dicht machen das Ganze? Ne, dafür ist es mir zu schade. Und ich will ja eigentlich viel mehr schreiben, aber die liebe Zeit…
After my first steps with Lambda, Zappa and Flask I created some small applications to try various Zappa configuration options and play with some AWS services. Setting up the project got pretty boring after the second or third toy project. But for python developers there is a solution to automate these tasks – cookiecutter.
Here is a short video that demostrates how to use cookiecutter-flask-lambda and create, deploy and undeploy a new project. It won’t get any easier to deploy your Flask based web application.
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Image credit: Luke Loughead. Shared under the Creative Commons Attribution-ShareAlike 2.0 Generic license.
Update: After receiving some feedback, that it is not obvious if you need to use Python 2 or 3 for this article, I decided, that I want to update it all the way for Python 3. AWS Lambda supports it, Zappa supports it and we all want Python 3!
I wanted to try out AWS Lambda for a while now. But it took some time to find a reasonable development task that fits this infrastructure. Serverless deployment is very intriguing, escpecially for someone like me that doesn’t enjoy to fiddle with servers, operating systems and stuff.
No, I won’t reveal any detals about my project yet. But I want to share my experiences building a simple webapp – the good old hello world example – and deploy it on AWS Lambda.
Honestly, Hammerspoon is an awesome tool to automate your macOS computer. It can react to system events, keyboard shortcuts and much more. Just have a look at its API and the Getting Started Guide. It is made for people that are not afraid to use an editor and code in the sweet programming language Lua. If you can code, it is more then sufficient to take a look at Learn Lua in Y Minutes to get a good grasp of Lua.