Tutorial by Examples: distribution

Just execute lsb_release -a. On Debian: $ lsb_release -a No LSB modules are available. Distributor ID: Debian Description: Debian GNU/Linux testing (stretch) Release: testing Codename: stretch On Ubuntu: $ lsb_release -a No LSB modules are available. Distributor ID: Ubun...

Look at the contents of /etc/redhat-release cat /etc/redhat-release Here is the output from a Fedora 24 machine: Fedora release 24 (Twenty Four) As mentioned in the debian-based response, you can also use the lsb_release -a command, which outputs this from a Fedora 24 machine: LSB Version: ...

The random number generator can (and should) be used for multiple distributions. #include <iostream> #include <random> int main() { std::default_random_engine pseudo_random_generator; std::uniform_int_distribution<int> int_distribution(0, 9); std::uniform_real_dis...

Let's use *norm as an example. From the documentation: dnorm(x, mean = 0, sd = 1, log = FALSE) pnorm(q, mean = 0, sd = 1, lower.tail = TRUE, log.p = FALSE) qnorm(p, mean = 0, sd = 1, lower.tail = TRUE, log.p = FALSE) rnorm(n, mean = 0, sd = 1) So if I wanted to know the value of a standard no...

This method will work on modern versions of Arch, CentOS, CoreOS, Debian, Fedora, Mageia, openSUSE, Red Hat Enterprise Linux, SUSE Linux Enterprise Server, Ubuntu, and others. This wide applicability makes it an ideal as a first approach, with fallback to other methods if you need to also identify o...

Draw samples from a normal (gaussian) distribution # Generate 5 random numbers from a standard normal distribution # (mean = 0, standard deviation = 1) np.random.randn(5) # Out: array([-0.84423086, 0.70564081, -0.39878617, -0.82719653, -0.4157447 ]) # This result can also be achieved with t...

The Math.random() function should give random numbers that have a standard deviation approaching 0. When picking from a deck of card, or simulating a dice roll this is what we want. But in most situations this is unrealistic. In the real world the randomness tends to gather around an common normal...

If you have one of the supported Linux distributions, you can follow the steps on the .NET Core website: https://www.microsoft.com/net If you have an unsupported distribution: Download the .NET Core SDK from the links, picking the distribution closer to the used one. https://www.microsoft.com/net...

We can easily separate distribution specific tasks and variables into different dedicated .yml files. Ansible helps us to automatically identify the target hosts distribution via {{ ansible_distribution }} and {{ ansible_distribution_version }}, so we just have to name the distribution dedicated .y...

Use the yum command to manage packages in Enterprise Linux-based operating systems: yum install php This installs a minimal install of PHP including some common features. If you need additional modules, you will need to install them separately. Once again, you can use yum to search for these pac...

PMF FOR THE BINOMIAL DISTRIBUTION Suppose that a fair die is rolled 10 times. What is the probability of throwing exactly two sixes? You can answer the question using the dbinom function: > dbinom(2, 10, 1/6) [1] 0.29071 PMF FOR THE POISSON DISTRIBUTION The number of sandwhich ordered in ...

Sun / Oracle releases of Java SE come in two forms: JRE and JDK. In simple terms, JREs support running Java applications, and JDKs also support Java development. Java Runtime Environment Java Runtime Environment or JRE distributions consist of the set of libraries and tools needed to run and mana...

To add for instance a directory scripts to the distribution package: Add to the project a folder scripts On top of the build.sbt, add: import NativePackagerHelper._ In build.sbt, add a mapping to the new directory: mappings in Universal ++= directory("scripts") B...

A very useful and logical follow-up to histograms and density plots would be the Empirical Cumulative Distribution Function. We can use the function ecdf() for this purpose. A basic plot produced by the command plot(ecdf(rnorm(100)),main="Cumulative distribution",xlab="x") wo...

We now illustrate the functions dbinom,pbinom,qbinom and rbinom defined for Binomial distribution. The dbinom() function gives the probabilities for various values of the binomial variable. Minimally it requires three arguments. The first argument for this function must be a vector of quantiles(the...

NLTK provides the FreqDist class that let's us easily calculate a frequency distribution given a list as input. Here we are using a list of part of speech tags (POS tags) to see which lexical categories are used the most in the brown corpus. import nltk brown_tagged = nltk.corpus.brown.tagged_w...