All-Round

 Here is the C# code that gave rise to the article published with the same name in the analysis. Hope you like it!

  Here is the Python code that gave rise to the article published with the same name in the analysis. Hope you like it!

  All cycling enthusiasts have come across, in one way or another, the expression slope gradient of a climb. The slope gradient represents the number of meters we climb in altitude over a given piece of terrain. This slope gradient is given as a percentage (%). If we have an ascent of 6 kilometres (d) with the peak at 1200 meters of altitude (h) and the beginning of the ascent to sea level (0 meters of altitude), the slope gradient is 20%.   Slope gradient = (1200 ÷ 6000) × 100    If we have an ascent of 4 kilometres (d) with the peak at 1000 metres of altitude and the beginning of the ascent at 600 metres of altitude (h = 1000 – 600 = 400), the slope gradient is 10%. Slope gradient = (400 ÷ 4000) × 100    I hope this expression is simpler for you and that you enjoyed the publication.  

The Tour of Flanders race is one of the most exciting and ingenious classics on the entire World Tour calendar. To be honest, it's one of my top-3 favourite races. I'll leave you with a method to analyse and predict a race's outcome based on computational analysis. The analysis will be based between 2010-2019, due the calendar is normal and not exist the pandemic of Covid-19. And the change of the race date outside the cobles classic season, making it impossible to correctly analyse the data. Winners: Winners 2021 Kasper Asgreen 2020 Mathieu Van Der Poel 2019 Alberto Betiol 2018 Niki Terpstra 2017 Philippe Gilbert 2016 Peter Sagan 2015 Alexander Kristoff 2014 Fabian Cancellara 2013 Fabian Cancellara 2012 Tom boonen 2011 Ni...