Improver 4

The Improver is a culture concept to improve our life with picture, text and sound. All songs you can find at: https://sourceforge.net/projects/maxbox/files/maXbox_Archive/Improver/Improver_4_Edition_2021.zip/download Play the tunes http://www.kleiner.ch/kleiner/download/G9_vision.mp3 2. Play Chess: 3. Cary Copper (White magic): 4. Eat Garlic (NowAge) 5. Exerce de Meditation 6. Practise running (Japan) 7. Bett von Nord nach Süd – Zeitraum 8.Continue reading “Improver 4”

XML Reloaded

There are lot of possibilities if you’re in need to parse or write XML files: use TXMLDocument (the MSXML wrapper) or use xml components like OmniXML, NativeXml, ADOM, SAX, libxml2, DIXml, fcl-XML, Fast XMLParser, SimpleXML Now here comes another one: VerySimpleXML – a lightweight, one-unit XML reader/writer in under 500 600 lines of code. UseContinue reading “XML Reloaded”

Python4Delphi

////////////////////////////////////////////////////////////////////////////// Python4Delphi ___________________________________ maXbox Starter86 – Python for Delphi with Python4Delphi In a future world you can decide belonging to SkyNet or Darknet, but you can not find the difference between an Android or Avatar cause humans doesn’t exist anymore. Python for Delphi (P4D) is a set of free components that wrap up the PythonContinue reading “Python4Delphi”

JSON Automation

Reading json data in maXbox could be easy. Json data can be read from a file or it could be a json web link. Let us first try to read the json from a web link. Const JsonUrl = ‘https://pomber.github.io/covid19/timeseries.json’; Let us first define the necessary packages “msxml2.xmlhttp and the JSON class”. Let us importContinue reading “JSON Automation”

MNIST Single Predict

MNIST Single Prediction We have set up a very simple SVC to classify the MNIST digits to make one single shoot predict. First we load the libraries and the dataset: A notebook you find at: https://github.com/maxkleiner/maXbox4/blob/master/MNISTSinglePredict.ipynb <class ‘sklearn.utils.Bunch’> 1797 samples Then we setup the Support Vector Classifier with the training data X and the targetContinue reading “MNIST Single Predict”

Fundamentals Library

////////////////////////////////////////////////////////////////////////////Fundamentals 5 Code Library Introduction by Max Kleiner “Love comes unseen; we only see it go.”– Henry Austin Dobson The Fundamentals 5 Code Library is a big toolbox for Delphi and FreePascal. What I appreciate the most in this library are the main utilities for network and internet. This utilities (Utils) it provides involve math,Continue reading “Fundamentals Library”

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