Swift and XCUI tests for beginners

I went to a workshop last year #TechKnowDay and I saved this one about Swift for beginners in my draft. I didn’t have a chance to participate, but I followed the instructions on the slide of the project: https://github.com/ananogal/Workshop-Swift-for-beginners

I took the chance to do some automation on this project and created the scenarios (without BDD) here:

https://github.com/rafaelaazevedo/Templet

It is really basic and simple, but it is a start point for everybody who wants to learn how to create the tests.

You can also record the actions, just open your project on Xcode:

Create a New Target

Type a name for your UITest target

Select the UI Testing template

Then you just need to click inside of the test function and the record button (red circle) will show up on the bottom of the screen

Thank you Ana for this great workshop !

Deep learning with python

Hello guys, last year I joined to a day of workshops from #TechkNowDay here in London. This workshop is about deep learning with python and I am able to share the power point explaining the exercise with you.

You can download the Power Point presentation here and the list of files for this exercise on this link.

Nice coding everyone !

Thank you so much for the workshop and all the explanation Bianca Furtuna !

Building a sudoku game with Kotlin

Hi guys,

Today I will continue the series of posts related to the workshop I attended during the #TechKnowday here in London. This one is to learn Kotlin building a sudoku game. So, basically Ana left available on her Github the initial parts and the solutions.

The instructions with the steps are available here. Below you can find the exercise done in parts:

You can find the first part here: https://github.com/anikiki/sudoku-init-part1

The second part: https://github.com/anikiki/sudoku-init-part2

And the third part: https://github.com/anikiki/sudoku-init-part3

If you are wondering what you have done wrong, you can check the solution for each part below. Don’t cheat, this is for after you have tried the exercise by yourself first:

https://github.com/anikiki/sudoku-solution-part1

https://github.com/anikiki/sudoku-solution-part2

https://github.com/anikiki/sudoku-solution-part3

Her contacts:

Thanks Ana for this workshop !

Machine Learning in IOS apps

Hello guys,

I have been to the #TechKnowday here in London three weeks ago and one of the workshops that I joined was the Machine Learning in IOS Apps. So, in the end we had a face recognition app which showed what was the emotion of the person, if the picture was someone smiling than it should show the smile emoticon and so on.

You can find the slides and follow the explanations here:

https://github.com/costescv/MachineLearning/blob/master/MachineLearning.pdf

Then you will need to clone the repository with the project https://github.com/costescv/machinelearning and download the Sentiment Polarity model here

Step 1:

In the ViewController.swift you will need to create the face detection request, the request handler and the face detection action. So you will have something like this:

Step 2:

In the SentimentAnalysisService.swift you will need to create the model using the SentimentPolarity, pass the linguistic tagger options and create the input to receive and interpret the input with the sentiment. You can add, remove or change the sentiments in the Sentiment.swift class, but don’t forget to change in this class the sentiment as well.

So, after you build, run the app and type the name of the sentiment with a space in the end, so you should have something like this:

Thanks Vasilica for this workshop !