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Educate-Inspire-Change
Empty Suit
Definition: An amateur who's been given the power to set the goals & objectives for professionals to follow, and thinks of himself as a strong leader.Ethics
"Veritas vos liberabit"
"It's better to build something 100 people love, than something that 1M people kind-of-like" -- Brian Chesky
"Rättvisa handlar inte om lika utfall, utan om lika spelregler" -- Alice Teodorescu
“The mediocre teacher tells. The good teacher explains. The superior teacher demonstrates. The great teacher inspires.” ― William Arthur Ward
When the facts change, I change my mind. What do you do, sir?" -- John Maynard Keynes
""Don't attribute to stupidity what can be adequately explained by a contract." -- Anonymous
"Without deviations from the norm, progress is not possible" -- Frank Zappa
"I must study politics and war that my sons may have liberty to study mathematics and philosophy and they in turn must study those subjects so that their children can study painting, poetry, music, architecture, statuary, tapestry, and porcelain." -- John Adams, Americas II president
"In a time of universal deceit - telling the truth is a revolutionary act." -- George Orwell
"The only thing necessary for the triumph of evil is for good men to do nothing." -- Edmund Burke
"Being normal is being merely average" -- Shawn Achor
“It is difficult to get a man to understand something, when his salary depends on his not understanding it.” -- Upton Sinclair
"I do not agree with what you have to say, but I'll defend to the death your right to say it." -- VoltaireSystems view
"Our organization was designed for a problem that no longer existed; we had brought an industrial age force to an information-age conflict." --Stan McChrystal- A/B Testing
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- Fast Fourier Transforms with Python - the noise and the signal
- More fun with Python: Navigational tricks - AIS NMEA encoding/decoding
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- Parsing NMEA 0183 sentences in Python
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- Image processing with Python, Numpy & Scipy - image convolution
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Tag Archives: Data Analysis
Geolocation with Google API’s & Python – mapping addresses to GPS coordinates
Google does some pretty impressive things – not just all the web-based search stuff, but they also have lot’s and lot’s of really cool API’s for programmers to peruse. In order to access these API’s, you need a personal authorization … Continue reading
Posted in API, Data Analytics, Python, Web
Tagged API, Data Analysis, Python, WebScraping
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Vasaloppet 2018 – race time analysis
An analysis of race times for the ~11000 men and ~2000 women that participated in 2018 Vasaloppet. For explanations of the graphs, see earlier posts on Marcialonga or Tour de Ski. [Btw, the weird looking vertical orange/blue “spike” in the … Continue reading
Posted in Data Analytics, Numpy, Pandas, Python, sports, Statistics, Web
Tagged Data Analysis, Pandas, Python, sports, Statistics
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Marcialonga Ski 2018 – some Analytics
Now, with the power grid finally – after 62 hours! – back in business, I’m able to continue my stats/analytics exploration of the past Marcialonga ski race. First, some basic stats about the race: Total number of participants: 5558, of … Continue reading
Posted in Bayes, Data Analytics, Numpy, Pandas, Probability, PYMC, Python, sports, Statistics
Tagged Bayes, Data Analysis, Numpy, Pandas, Probability, PYMC, Python, sports, Statistics, WebScraping
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Ugly soup with Python, requests & Beautiful Soup
Web scraping has never been a coveted nor favorite discipline of mine; in fact, for me web scraping is an unfortunate, but sometimes necessary evil. Scraping web-pages, at least for me, is a very unstructured process, basically pure Trial & … Continue reading
Posted in Data Analytics, development, Python, Web
Tagged BeautifulSoup, Data Analysis, Python, Pythonista2, Requests, WebScraping
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Gender is not a social construct, but a biological reality, clearly demonstrated in sports
Just a quick demo to debunk the contemporary notion that “Gender is a social construct”. Data taken from today’s Tour the Ski sprint qualification times, for the top 30 women vs men, where both men & women used the same … Continue reading
Posted in Bayes, Culture, Data Analytics, Politik, Society, Statistics
Tagged Bayes, Data Analysis, Politics, Society, Statistics
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Bayesian Multi-predictor Regression – Valet2018
[Continuing my exploration of the Swedish election results, but I thought this might be of interest also for those of you not very interested in the Swedish elections, simply because the potential MatStat’s insights – thus, the text is in … Continue reading
Posted in Bayes, Big Data, Data Analytics, Data Driven Management, Numpy, Politik, Probability, PYMC, Python, Research, Society, Statistics, Sverige
Tagged Bayes, Data Analysis, Matplotlib, Numpy, Pandas, Probability, PYMC, Python, Scipy, Statistics, Val2018
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Val2018 – top50 & bottom50 samtliga valdistrikt i Sverige för samtliga partier
Som komplement till de två tidigare inläggen [1,2] som redogjorde för valdistrikten i Stockholms kommun, så kommer här top50 & bottom50 för samtliga de 6004 valdistrikt som finns med i valnattens preliminära resultat. Top-50: Bottom-50:
Posted in Data Analytics, Politik, Society, Statistics, Sverige
Tagged Data Analysis, Politik, Statistics, Sverige, Val2018
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Poor Man’s Climate Change exploration
The Swedish Meteorological & Hydrological Institute (SMHI) provide Open Data, that is, some of its huge databases on all things weather. I downloaded data on temperature from an observation post furthest out in the Stockholm archipelago, daily data on temperatures … Continue reading
Posted in Big Data, Data Analytics, Statistics
Tagged Big Data, Data Analysis, Statistics
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Convolutional Neural Networks with KERAS – Image recognition
A quick test shot with KERAS, inspired by this tutorial using the MNIST dataset of more than 60000 images of hand written digits. Task at hand: correctly identify as many as possible of these 28 x 28 images, looking like … Continue reading
Posted in Big Data, Complex Systems, Data Analytics, KERAS, Machine Learning, Neural networks, Numpy, Python
Tagged AI, Data Analysis, KERAS, Machine Learning, Matplotlib, Neural networks, Numpy, Python
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Capturing NMEA sentences over WiFi using Python
In order to figure out how the NMEA-WiFi Gateway deals with clients, e.g. if it expects any “handshake” or any other communication setup protocol, I decided to write a simulator mimicing the gateway, and then using iRegatta 2 from Zifago … Continue reading
Posted in Data Analytics, Maritime Technology, Nautical Information Systems, NMEA, Numpy, performance, Python, Simulation, TCPIP
Tagged Communication, Data Analysis, iRegatta2, Network, NMEA, Numpy, performance, programming, Python, Simulation, sports, TCP/IP, Technology
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