Modrzyk, N. (2019). Clojure. In: Sakr, S., Zomaya, A.Y. (eds) Encyclopedia of Big Data Technologies. Springer, Cham. https://doi.org/10.1007/978-3-319-77525-8_302

By the same sane community that gives us tablecloth, comes a full blown Machine Learning library named the scicloj.

Explaining the details of the whole library or machine learning in general being beyond the scope of this article, we will instead present how the reader can put into action a KNN, K Nearest Neighbor algorithm to guess quotes retrieved from the previously presented JQuants API. What is KNN? K Nearest Neighbor is a simple algorithm that stores all the available cases and classifies the new data or case based on a similarity measure. It is mostly used to classifies a data point based on how its neighbors are classified.

This has been re-published on dzone

Realtime React Coding in ClojureScript

I love ClojureScript. The language, the look, the feeling when I type the code to make my React components with it, makes me stay up all night. It actually did yesterday when I try to pick up on a friend setup and get back a modern environment to do my coding. Let’s walk through the first few steps to get to a setup with a React counter in ClojureScript, all this with live code reloading from VSCode.

Modrzyk, N. (2019). Clojure. In: Sakr, S., Zomaya, A.Y. (eds) Encyclopedia of Big Data Technologies. Springer, Cham. https://doi.org/10.1007/978-3-319-77525-8_302

In the Clojure world the Python’s numpy equivalent is named tablecloth, which acts as a data frame grammar wrapping tech.ml.dataset. It has much, if not all, the functions you would expect for data science associated with an impressive speed for handling data, provided you stick with the library functions. In this short section we will see how to work with tablecloth data frames, to handle data from the just out JQuants API from the land of the rising sun where sushi shines and the sky is blue.

With the OpenCV setup done before, it is now possible to go and actually use OpenCV for something practical. This is ported to Clojure from the following post, so please refer to it for the original write up.

The goal is to highlight different intensity of red circles in a picture.

The java imports when working with OpenCV are quite consistent between examples, so let’s add them along with the namespace definition.

https://dev.to/mattferderer/what-is-csp-why--how-to-add-it-to-your-website-28df

https://content-security-policy.com/examples/nginx/ https://bobcares.com/blog/add-csp-header-nginx/ https://content-security-policy.com/ https://stackoverflow.com/questions/58652892/content-security-policy-refused-to-execute-inline-event-handler-error

 invalid number of arguments in "add_header" 

https://dev.to/mattferderer/what-is-csp-why--how-to-add-it-to-your-website-28df

add_header 'Content-Security-Policy' 'default-src self unsafe-inline *.akamai.net *.doubleclick.net; font-src self fonts.googleapis.com fonts.gstatic.com; style-src self; script-src self cdnjs.com; img-src self;'

Content-Security-Policy-Report-Only: default-src 'none'; form-action 'none'; frame-ancestors 'none';

Content-Security-Policy-Report-Only: default-src 'none'; form-action 'none'; frame-ancestors 'none'; style-src 'self';

Content-Security-Policy-Report-Only: default-src 'none'; form-action 'none'; frame-ancestors 'none'; style-src 'self'; script-src 'self'; img-src 'self';

Content-Security-Policy-Report-Only: default-src 'none'; form-action 'none'; frame-ancestors 'none'; style-src 'self'; script-src 'self' cdnjs.com; img-src 'self';


add_header Content-Security-Policy "default-src 'self' unsafe-inline *.akamai.net *.doubleclick.net; font-src 'self' fonts.googleapis.com fonts.gstatic.com; style-src 'self'; script-src 'self' cdn.jsdelivr.net cdnjs.com; img-src 'self';";

add_header Content-Security-Policy-Report-Only "default-src 'self'; font-src 'self' fonts.googleapis.com fonts.gstatic.com; style-src 'self' https://cdn.jsdelivr.net; script-src 'self' cdn.jsdelivr.net cdnjs.com; img-src 'self';";