Is Bitcoin legal?

In the US, the answer is probably yes, but it still depend on what state you're in. Doing something illegal with Bitcoins---like bringing someone of buying drugs -- is still illegal.

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Where do Bitcoin come from?

New Bitcoins are created in a process called "mining," which involves Bitcoin users attempting to figure out a complex mathematical solution related to the cuttent number of Bitcoins. Like finding a missing piece of a puzzle. Whomever finds the puzzle piece wins a certain number of Bitcoins, and the process starts all over again.
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How many posts in BlogSpot are required to activate AdSense in a website?

There is no specific answer to this question. As Google AdSense don't provide any right details about how many number of post have in a website so it'll get approved by them. Try to write some really thoughtful, genuine posts and you can pick a topic that is unanswered. There are lots of topic which is not available on Internet. Make your website or blog unique, if you want to get into AdSense quickly. You have to focus on something unique. AdSense is highly unlikely to accept a blogspot that writes about SEO, marketing, or affiliate program, because there are already millions of blogspots that write about this, it is not “useful” to add another one into its network. If you want to get into AdSense quickly, pick a topic that is underserved, write some really thoughtful, genuine posts, and try applying. Also Creating an important pages are required to get approved, google adsense will never accept site with no (contact page,about use page and privacy and policy page). ...
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How To Implement Naive Bayes From Scratch in Python ?

#How To Implement Naive Bayes From Scratch in Python #http://machinelearningmastery.com/naive-bayes-classifier-scratch-python/ #Dataset #https://archive.ics.uci.edu/ml/machine-learning-databases/pima-indians-diabetes/pima-indians-diabetes.data import csv import math import random #Handle data def loadCsv(filename): lines = csv.reader(open(filename, "r")) dataset = list(lines) for i in range(len(dataset)): dataset[i] = [float(x) for x in dataset[i]] return dataset #Test handling data """  filename = 'pima-indians-diabetes.data.csv' SomeDataset = loadCsv(filename) print("Loaded data file {0:s} with {1:5d} rows".format(filename,len(SomeDataset))) """ #Split dataset with ratio def splitDataset(dataset, splitRatio): trainSize = int(len(dataset) * splitRatio) trainSet = [] copy = list(dataset) while len(trainSet) < trainSize: index = random.randrange(len(cop...
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