Random vegetable

what are the best vegetables?

The best vegetables are those that grow readily in your area. They should be of the highest quality possible and should be eaten as soon after harvest as possible. The best vegetables are those that grow readily in your area. They should be of the highest quality possible and should be eaten as soon after harvest as possible.

best way to cook vegetables?

To retain most of their nutrients and flavor, vegetables should be cooked briefly and served fresh. If a little crunch is desired, vegetables should be served slightly al dente. To retain most of their nutrients and flavor, vegetables should be cooked briefly and served fresh. If a little crunch is desired, vegetables should be served slightly al dente.

what are the best vegetables to buy in winter?

If your supermarket or local farmers' market have a good supply of fresh vegetables, nothing beats fresh from the garden. If your supermarket or local farmers' market have a good supply of fresh vegetables, nothing beats fresh from the garden.

what are the best vegetables for salads?

The best vegetables for salads are those that are crisp and colorful when cut small. The best vegetables for salads are those that are crisp and colorful when cut small.

what vegetables are high in fiber?

The best vegetables are those high in fiber, which include spinach and celery. The best vegetables are those high in fiber, which include spinach and celery.

Vegetables are very good for you. Green vegetables provide you with a large number of vitamins and minerals. They are rich in chlorophyll, which is essential for good health. If you buy organic, your greens won't be sprayed with chemicals or fertilizers. I like the idea of a plate full of veggies for a quick snack, or a salad for a more filling meal.

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.