Categories :

# Random plants

Hi, It's me Gerenimot!

Generate a word.

## Plants

Plants, vegetables and fruits are part of the vegetable family. Leafy greens and vegetables contain high amounts of chlorophyll, protein, carbohydrates, minerals, vitamins, carotenoids and many other beneficial compounds. This healthy food group is considered a rich source of nutrition. They are beneficial for a healthy body and a healthy mind. With their dark color, leafy vegetables have a low tendency to be processed, and are an excellent choice for weight control. Vegetables have a high water content and contain dietary fiber and phytochemicals. Leafy vegetables, along with crucifers and cauliflower, are the richest food sources of inositol. A number of diseases like heart disease, cancer, arthritis, and inflammatory diseases are linked to vegetable consumption. Additionally, recent studies have shown that the antioxidants found in vegetables can help prevent skin wrinkles, age spots, and slow the effects of aging. When eating leafy vegetables, choose those with bright colors. Green, yellow, red, orange and purple. Avoid white-colored vegetables, such as white potatoes, green beans, broccoli, and Brussels sprouts, as they don't contain chlorophyll. They are high in calories and low in nutrients. Leafy vegetables also have a high water content. A handful of dark leafy vegetables provides 100 calories. They are beneficial for a healthy body and a healthy mind. In addition, they contain dietary fiber and phytochemicals.

## Random Word Generator

The Random Word Generator is a tool to help you create a list of random words. The tool generates random words for you to use in your writing or other creative projects.

### Random in Computers

Computers can generate truly random numbers if given a source of entropy. This is used in cryptography where truly random numbers are needed, for example for creating encryption keys. Computers can also be used to simulate random events. By generating a series of random numbers from a stochastic process, like a Poisson process or a Markov process, a simulation of the process itself can be obtained. This is used in computer animation for the generation of natural looking phenomena, for example the way water flows in a stream. Random number generation is also used in statistical sampling to generate a representative sample from a population. If a sequence of numbers is naively generated from a true random number generator, the numbers may appear to have a pattern. The period of this pattern is the length of the seed number used. Once the whole seed number has been used, the sequence repeats. Since computers can only store and manipulate numbers as a discrete set of values, in practice all computer-generated random numbers are random. That is, each number is associated with a specific algorithm and stream of data, and the characteristics of that data affect the numbers generated. In other words, the sequence of numbers is determined by the program, which is a deterministic process. The problem is that if the algorithm is not truly random, it is possible, by examining the patterns in the sequence of numbers, to predict future values in the sequence. This is a form of statistical attack. This can be countered by changing the seed number periodically. With each new seed, a different sequence is started, which as far as is known, has an unpredictable pattern. This is exactly what is done for the sequences in many types of random number generators, including those used in computer graphics and games. In these applications, the sequence of numbers is usually displayed. Anyone who knows the algorithm can then "re-seed" the generator, with the seed number found from the sequence, and thus generate the same sequence of numbers. In computer graphics, this is not considered a problem, as what is being displayed is the pattern, not the numbers. In cryptography and computer security, however, it is a problem, since an attacker can use such a sequence of numbers to predict future values. random numbers are random enough for most practical purposes. For example, they may be used in simulations involving games of chance, like poker or blackjack. The random numbers are used to determine the outcome.