#!/usr/bin/python# -*- coding: utf-8 -*-classMe:
""" A class to represent a person. (Actually just for me) """def__init__(self):
self.name="Evangelos Bektsis"self.role1="Data Scientist"self.role2="e-commerce enthusiast"self.role3="Technology Entrepreneur"self.bsc_studies= ("Electrical and Computer Engineering", "Democritus University of Thrace")
self.msc_studies= ("Data and Web Science", "Computer Science Dept.", "Aristotle University of Thessaloniki")
self.language_spoken= ["el_GR", "en_US"]
self.country="Greece"self.city="Thessaloniki"self.values= ["Respect", "Integrity", "Trust", "Accountability", "Passion", "Innovation", "Quality", "Teamwork", "Leadership", "Constant Improvement", "Continuous Learning"]
defsay_hi(self):
print("Thanks for dropping by, hope you find some of my work interesting. \n I'll be happy to connect with you on Social Media!")
me=Me()
me.say_hi()
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.